From 39fe76ecffde0558be31637710f3ddb28d7292a7 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sun, 16 Apr 2023 14:55:05 -0700 Subject: [PATCH 01/84] Initial custom dc config --- server/app_env/custom.py | 6 +-- server/templates/custom_dc/custom/base.html | 2 +- static/custom_dc/custom/overrides.css | 7 +++ static/custom_dc/custom/techsoup-logo.svg | 50 +++++++++++++++++++++ 4 files changed, 61 insertions(+), 4 deletions(-) create mode 100644 static/custom_dc/custom/techsoup-logo.svg diff --git a/server/app_env/custom.py b/server/app_env/custom.py index a6aa09b629..3fff0ca711 100644 --- a/server/app_env/custom.py +++ b/server/app_env/custom.py @@ -18,9 +18,9 @@ class Config(_base.Config): CUSTOM = True - NAME = "Custom Data Commons" + NAME = "Data Commons for Nonprofits" OVERRIDE_CSS_PATH = '/custom_dc/custom/overrides.css' - LOGO_PATH = "/custom_dc/custom/logo.png" + LOGO_PATH = "/custom_dc/custom/techsoup-logo.svg" class LocalConfig(Config, local.Config): @@ -32,4 +32,4 @@ class LocalConfig(Config, local.Config): # 2. In the custom GCP project, store the API key in secret manager # `printf "" | gcloud secrets create mixer-api-key --data-file=-` # 3. Update SECRET_PROJECT to be the custom GCP project id. - SECRET_PROJECT = '' \ No newline at end of file + SECRET_PROJECT = 'techsoup-data-commons' \ No newline at end of file diff --git a/server/templates/custom_dc/custom/base.html b/server/templates/custom_dc/custom/base.html index d350670875..2c54c10449 100644 --- a/server/templates/custom_dc/custom/base.html +++ b/server/templates/custom_dc/custom/base.html @@ -34,7 +34,7 @@ - {{ title }} - Custom Data Commons Commons + {{ title }} - Data Commons for Nonprofits + + + + + + + + + + + + + + + + + From ebacf7e4ad9e88f32ce7f2a082ce8fb761f992d5 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Fri, 5 May 2023 11:04:36 -0700 Subject: [PATCH 02/84] WIP - issue landing page and topic page for food sec --- deploy/base/custom_bigtable_info.yaml | 5 + deploy/base/deployment.yaml | 1 + deploy/git/mixer_hash.txt | 1 + deploy/git/website_hash.txt | 1 + deploy/gke/techsoup.yaml | 25 + server/__init__.py | 3 +- .../topic_page/foodsecurity/CA.textproto | 109 ++ .../topic_page/foodsecurity/USA.textproto | 1290 +++++++++++++++++ server/lib/util.py | 3 +- server/routes/ts_issue_landing.py | 32 + server/templates/custom_dc/custom/base.html | 12 +- .../templates/custom_dc/custom/homepage.html | 10 +- .../custom/issue_landing/foodsecurity.html | 54 + .../custom/images/diabetes_poverty-maine.png | Bin 0 -> 231551 bytes 14 files changed, 1542 insertions(+), 4 deletions(-) create mode 100644 deploy/gke/techsoup.yaml create mode 100644 server/config/topic_page/foodsecurity/CA.textproto create mode 100644 server/config/topic_page/foodsecurity/USA.textproto create mode 100644 server/routes/ts_issue_landing.py create mode 100644 server/templates/custom_dc/custom/issue_landing/foodsecurity.html create mode 100644 static/custom_dc/custom/images/diabetes_poverty-maine.png diff --git a/deploy/base/custom_bigtable_info.yaml b/deploy/base/custom_bigtable_info.yaml index 0e7ce3059c..aec5726349 100644 --- a/deploy/base/custom_bigtable_info.yaml +++ b/deploy/base/custom_bigtable_info.yaml @@ -1 +1,6 @@ instance: dc-graph +project: techsoup-data-commons +tables: + - freemeals_2023_04_11_14_09_49 + - mealsites_2023_04_21_08_55_43 + - usda_grocery_access_2023_04_21_08_55_43 diff --git a/deploy/base/deployment.yaml b/deploy/base/deployment.yaml index 932e610f4e..ead2255ecc 100644 --- a/deploy/base/deployment.yaml +++ b/deploy/base/deployment.yaml @@ -119,6 +119,7 @@ spec: - --base_bigtable_info=$(BASE_BIGTABLE_INFO) - --custom_bigtable_info=$(CUSTOM_BIGTABLE_INFO) - --memdb_path=/datacommons/memdb + - --use_branch_bt=false volumeMounts: - name: schema-mapping mountPath: /datacommons/mapping diff --git a/deploy/git/mixer_hash.txt b/deploy/git/mixer_hash.txt index e69de29bb2..bd6ddea582 100644 --- a/deploy/git/mixer_hash.txt +++ b/deploy/git/mixer_hash.txt @@ -0,0 +1 @@ +5af6f16 diff --git a/deploy/git/website_hash.txt b/deploy/git/website_hash.txt index e69de29bb2..ad34447108 100644 --- a/deploy/git/website_hash.txt +++ b/deploy/git/website_hash.txt @@ -0,0 +1 @@ +39fe76e diff --git a/deploy/gke/techsoup.yaml b/deploy/gke/techsoup.yaml new file mode 100644 index 0000000000..b62ebe9079 --- /dev/null +++ b/deploy/gke/techsoup.yaml @@ -0,0 +1,25 @@ +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +# This is a yaml template to create gcp/gke configuration. +# Copy this file to `config.yaml` and use that. +project: techsoup-data-commons +ip: 34.111.225.45 +domain: datacommons.techsoup.org +region: + primary: us-central1 + others: +nodes: 1 + diff --git a/server/__init__.py b/server/__init__.py index 75751d454a..5cb6ae3dc2 100644 --- a/server/__init__.py +++ b/server/__init__.py @@ -83,7 +83,8 @@ def register_routes_base_dc(app): def register_routes_custom_dc(app): ## apply the blueprints for custom dc instances - pass + from server.routes import ts_issue_landing + app.register_blueprint(ts_issue_landing.bp) def register_routes_disasters(app): diff --git a/server/config/topic_page/foodsecurity/CA.textproto b/server/config/topic_page/foodsecurity/CA.textproto new file mode 100644 index 0000000000..6e2c5bffca --- /dev/null +++ b/server/config/topic_page/foodsecurity/CA.textproto @@ -0,0 +1,109 @@ +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + +metadata { + topic_id: "foodsecurity" + topic_name: "Food Security" + place_dcid: "geoId/06" + contained_place_types { + key: "State" + value: "County" + } +} + +categories { + title: "Health Conditions" + description: "(Description of health conditions will go here)" + blocks { + title: "Prevalance of Diabetes" + description: "(Prevalence of diabetes description will go here)" + columns { + tiles { + type: MAP + title: "Prevalence of diabetes (${date})" + stat_var_key: "prevalence_diabetes" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "prevalence_diabetes" + } + } + } + + blocks { + title: "Health conditions" + columns { + tiles { + type: BAR + title: "Health conditions" + stat_var_key: "prevalence_diabetes" + stat_var_key: "prevalence_chd" + stat_var_key: "prevalence_highbloodpressure" + stat_var_key: "prevalence_highcholesterol" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + highest_title: "Highest among ${statVar}" + } + stat_var_key: "prevalence_diabetes" + stat_var_key: "prevalence_chd" + stat_var_key: "prevalence_highbloodpressure" + stat_var_key: "prevalence_highcholesterol" + } + } + } + + + stat_var_spec { + key: "prevalence_diabetes" + value { + stat_var: "Percent_Person_WithDiabetes" + name: "Percentage of population with Diabetes" + } + } + stat_var_spec { + key: "prevalence_chd" + value { + stat_var: "Percent_Person_WithCoronaryHeartDisease" + name: "Percentage of population with Coronary Heart Disease" + } + } + stat_var_spec { + key: "prevalence_highbloodpressure" + value { + stat_var: "Percent_Person_WithHighBloodPressure" + name: "Percentage of population with High Blood Pressure" + } + } + stat_var_spec { + key: "prevalence_highcholesterol" + value { + stat_var: "Percent_Person_WithHighCholesterol" + name: "Percentage of population with High Cholesterol" + } + } +} + diff --git a/server/config/topic_page/foodsecurity/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto new file mode 100644 index 0000000000..fa82e505a5 --- /dev/null +++ b/server/config/topic_page/foodsecurity/USA.textproto @@ -0,0 +1,1290 @@ +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + +metadata { + topic_id: "foodsecurity" + topic_name: "Food Security" + place_dcid: "country/USA" + contained_place_types { + key: "Country" + value: "State" + } +} + +categories { + title: "Overview" + + blocks { + title: "Gini index of economic activity" + columns { + tiles { + type: HIGHLIGHT + description: "Gini index of economic activity for ${placeName} (${date})" + stat_var_key: "gini" + } + tiles { + type: DESCRIPTION + description: "In economics, the Gini index is a measure of income inequality within a nation or social group. It measures the inequality among values of a frequency distribution (e.g. a Gini index of 0 represents perfect equality, while 100 represents perfect inequality)." + } + } + columns { + tiles: { + type: LINE + title: "Gini index of economic activity for ${placeName}" + stat_var_key: "gini" + } + # TODO: Add rankings of other /Countries/ + } + } + + stat_var_spec { + key: "gini" + value { + stat_var: "GiniIndex_EconomicActivity" + name: "Gini index of economic activity" + } + } +} + +categories { + title: "Equity between sexes" + description: "Gender is often confused with the concept of sex. Gender is a social construct, whereas sex is based on the biological attributes of men and women. The US Census intends to capture a person's biological sex and not gender. For more information, see https://www.census.gov/topics/population/age-and-sex/about.html" + blocks { + title: "Income inequality between sexes" + description: "Income inequality is computed as the ratio of the difference between median income for each sex, with the combined median incomes. A value of 0 means complete equality of median income." + columns { + tiles { + type: MAP + title: "Income inequality between sexes (${date})" + stat_var_key: "income_inequality" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "income_inequality" + } + } + } + + blocks { + title: "Income and employment, by sex" + description: "Median incomes of individuals, broken down by sex" + columns { + tiles { + title: "Median income by sex" + type: LINE + stat_var_key: "median_income_female" + stat_var_key: "median_income_male" + } + } + columns { + tiles { + title: "Unemployment rate by sex" + type: LINE + stat_var_key: "unemployment_female" + stat_var_key: "unemployment_male" + } + # There is only state-level data for Median Income, not unemployment rate. + } + } + + blocks { + title: "Poverty rate, by sex" + description: "Percentage of the population of each sex living below the poverty level." + columns { + tiles { + type: MAP + title: "Percentage of the female population in poverty (${date})" + stat_var_key: "poverty_rate_female" + } + tiles { + type: LINE + title: "Poverty rate, by sex" + stat_var_key: "poverty_rate_female" + stat_var_key: "poverty_rate_male" + } + } + columns { + tiles { + type: MAP + title: "Percentage of the male population in poverty (${date})" + stat_var_key: "poverty_rate_male" + } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + } + stat_var_key: "poverty_rate_female" + stat_var_key: "poverty_rate_male" + } + } + } + + blocks { + title: "Uninsured, by sex" + description: "Of those without insurance, how many are male or female?" + # TODO(beets): This isn't available at the country level + # stat_var_spec { + # stat_var: "Count_Person_Female_WithHealthInsurance" + # denom: "Count_Person_Female" + # unit: "%" + # scaling: 100 + # name: "Female, insured" + # } + # stat_var_spec { + # stat_var: "Count_Person_Male_WithHealthInsurance" + # denom: "Count_Person_Male" + # unit: "%" + # scaling: 100 + # name: "Male, insured" + # } + columns { + tiles { + type: HIGHLIGHT + description: "Americans have no health insurance (${date})" + stat_var_key: "uninsured_count" + } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + } + stat_var_key: "uninsured_rate_female" + stat_var_key: "uninsured_rate_male" + } + } + columns { + tiles { + type: LINE + title: "Uninsured, by sex" + stat_var_key: "uninsured_rate_female" + stat_var_key: "uninsured_rate_male" + } + } + } + + blocks { + title: "With disabilities, by sex" + description: "Percentage of the population of each sex with disabilities" + # TODO(beets): This isn"t available at the country level + # stat_var_spec { + # stat_var: "Count_Person_Female_WithHealthInsurance" + # denom: "Count_Person_Female" + # unit: "%" + # scaling: 100 + # name: "Female, insured" + # } + # stat_var_spec { + # stat_var: "Count_Person_Male_WithHealthInsurance" + # denom: "Count_Person_Male" + # unit: "%" + # scaling: 100 + # name: "Male, insured" + # } + columns { + tiles { + type: LINE + title: "With disability, by sex in ${placeName}" + stat_var_key: "disability_rate_female" + stat_var_key: "disability_rate_male" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + } + stat_var_key: "disability_rate_female" + stat_var_key: "disability_rate_male" + } + } + } + + # Note: This data is not available by race. + blocks { + title: "Education attainment by sex" + description: "Percentage of the population of each sex with an associate's degree" + columns { + tiles { + type: LINE + title: "Associate's degree holders by sex" + stat_var_key: "associates_female" + stat_var_key: "associates_male" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "associates_female" + stat_var_key: "associates_male" + } + } + } + + blocks { + # Note: title intentionally left out + description: "Percentage of the population of each sex with an bachelors's degree" + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "bachelors_female" + stat_var_key: "bachelors_male" + } + } + columns { + tiles { + title: "Bachelor's degree holders by sex" + type: LINE + stat_var_key: "bachelors_female" + stat_var_key: "bachelors_male" + } + } + } + + blocks { + # Note: title intentionally left out + description: "Percentage of the population of each sex with a graduate or professional degree" + columns { + tiles { + type: MAP + title: "Percentage of females who are graduate or professional degree holders" + stat_var_key: "graduate_female" + } + tiles { + type: LINE + title: "Graduate or professional degree holders by sex" + stat_var_key: "graduate_female" + stat_var_key: "graduate_male" + } + } + columns { + tiles { + type: MAP + title: "Percentage of males who are graduate or professional degree holders" + stat_var_key: "graduate_male" + } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "graduate_female" + stat_var_key: "graduate_male" + } + } + } + + stat_var_spec { + key: "income_inequality" + value { + stat_var: "GenderIncomeInequality_Person_15OrMoreYears_WithIncome" + name: "Income inequality between sexes" + } + } + stat_var_spec { + key: "median_income_female" + value { + stat_var: "Median_Income_Person_15OrMoreYears_Female_WithIncome" + unit: "$" + } + } + stat_var_spec { + key: "median_income_male" + value { + stat_var: "Median_Income_Person_15OrMoreYears_Male_WithIncome" + unit: "$" + } + } + stat_var_spec { + key: "unemployment_female" + value { + stat_var: "UnemploymentRate_Person_Female" + unit: "%" + } + } + stat_var_spec { + key: "unemployment_male" + value { + stat_var: "UnemploymentRate_Person_Male" + unit: "%" + } + } + stat_var_spec { + key: "poverty_rate_female" + value { + stat_var: "Count_Person_Female_BelowPovertyLevelInThePast12Months" + denom: "Count_Person_Female" + scaling: 100 + unit: "%" + } + } + stat_var_spec { + key: "poverty_rate_male" + value { + stat_var: "Count_Person_Male_BelowPovertyLevelInThePast12Months" + denom: "Count_Person_Male" + scaling: 100 + unit: "%" + } + } + stat_var_spec { + key: "uninsured_rate_female" + value { + stat_var: "Count_Person_Female_NoHealthInsurance" + denom: "Count_Person_NoHealthInsurance" + unit: "%" + scaling: 100 + name: "Female, uninsured" + } + } + stat_var_spec { + key: "uninsured_rate_male" + value { + stat_var: "Count_Person_Male_NoHealthInsurance" + denom: "Count_Person_NoHealthInsurance" + unit: "%" + scaling: 100 + name: "Male, uninsured" + } + } + stat_var_spec { + key: "uninsured_count" + value { + stat_var: "Count_Person_NoHealthInsurance" + } + } + stat_var_spec { + key: "disability_rate_female" + value { + stat_var: "Count_Person_WithDisability_Female" + denom: "Count_Person_Female" + unit: "%" + scaling: 100 + name: "Female, with disability" + } + } + stat_var_spec { + key: "disability_rate_male" + value { + stat_var: "Count_Person_WithDisability_Male" + denom: "Count_Person_Male" + unit: "%" + scaling: 100 + name: "Male, with disability" + } + } + stat_var_spec { + key: "associates_female" + value { + stat_var: "Count_Person_25To34Years_EducationalAttainmentAssociatesDegree_Female" + denom: "Count_Person_25To34Years_Female" + unit: "%" + scaling: 100 + name: "Female" + } + } + stat_var_spec { + key: "associates_male" + value { + stat_var: "Count_Person_25To34Years_EducationalAttainmentAssociatesDegree_Male" + denom: "Count_Person_25To34Years_Male" + unit: "%" + scaling: 100 + name: "Male" + } + } + stat_var_spec { + key: "bachelors_female" + value { + stat_var: "Count_Person_25To34Years_EducationalAttainmentBachelorsDegree_Female" + denom: "Count_Person_25To34Years_Female" + unit: "%" + scaling: 100 + name: "Female" + } + } + stat_var_spec { + key: "bachelors_male" + value { + stat_var: "Count_Person_25To34Years_EducationalAttainmentBachelorsDegree_Male" + denom: "Count_Person_25To34Years_Male" + unit: "%" + scaling: 100 + name: "Male" + } + } + stat_var_spec { + key: "graduate_female" + value { + stat_var: "Count_Person_25To34Years_EducationalAttainmentGraduateOrProfessionalDegree_Female" + denom: "Count_Person_25To34Years_Female" + unit: "%" + scaling: 100 + name: "Female" + } + } + stat_var_spec { + key: "graduate_male" + value { + stat_var: "Count_Person_25To34Years_EducationalAttainmentGraduateOrProfessionalDegree_Male" + denom: "Count_Person_25To34Years_Male" + unit: "%" + scaling: 100 + name: "Male" + } + } +} + +categories { + title: "Equity between races" + description: "The US Census Bureau measures race and ethnicity based on self-identification and may choose to identify with more than one race. The races are White, Black or African American, American Indian or Alaska Native, Asian and Native Hawaiian or Other Pacific Islander. As well, two ethnicities are included: Hispanic or Latino, and Not Hispanic or Latino. For more information, see https://www.census.gov/topics/population/race/about.html and https://www.census.gov/topics/population/hispanic-origin/about.html" + + # TODO: Not available at the country level + # blocks { + # title: "Median income, by race" + # description: "Median incomes of households, broken down by race" + # stat_var_spec { + # stat_var: "Median_Income_Household_HouseholderRaceAmericanIndianOrAlaskaNativeAlone" + # unit: "$" + # } + # stat_var_spec { + # stat_var: "Median_Income_Household_HouseholderRaceAmericanIndianOrAlaskaNativeAlone" + # unit: "$" + # } + # stat_var_spec { + # stat_var: "Median_Income_Household_HouseholderRaceAsianAlone" + # unit: "$" + # } + # stat_var_spec { + # stat_var: "Median_Income_Household_HouseholderRaceBlackOrAfricanAmericanAlone" + # unit: "$" + # } + # stat_var_spec { + # stat_var: "Median_Income_Household_HouseholderRaceHispanicOrLatino" + # unit: "$" + # } + # stat_var_spec { + # stat_var: "Median_Income_Household_HouseholderRaceNativeHawaiianOrOtherPacificIslanderAlone" + # unit: "$" + # } + # stat_var_spec { + # stat_var: "Median_Income_Household_HouseholderRaceWhiteAlone" + # unit: "$" + # } + # columns { + # tiles { + # type: LINE + # title: "Median household income by race" + # } + # } + # columns { + # tiles { + # type: RANKING + # ranking_tile_spec { + # show_highest: true + # } + # } + # } + # } + + blocks { + title: "Median household income by race" + # TODO: This data is not available at the country level! + columns { + tiles { + type: BAR + title: "Median household income by race" + stat_var_key: "income_aian" + stat_var_key: "income_a" + stat_var_key: "income_baa" + stat_var_key: "income_hl" + stat_var_key: "income_nhpi" + stat_var_key: "income_w" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + highest_title: "Highest among ${statVar}" + } + stat_var_key: "income_aian" + stat_var_key: "income_a" + stat_var_key: "income_baa" + stat_var_key: "income_hl" + stat_var_key: "income_nhpi" + stat_var_key: "income_w" + } + } + } + + blocks { + title: "Poverty rate by race" + description: "Percentage of the population of each race living in poverty" + columns { + tiles { + type: LINE + title: "Poverty rate by race in ${placeName}" + stat_var_key: "poverty_aian" + stat_var_key: "poverty_a" + stat_var_key: "poverty_baa" + stat_var_key: "poverty_hl" + stat_var_key: "poverty_nhpi" + stat_var_key: "poverty_w" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + highest_title: "Highest among ${statVar}" + } + stat_var_key: "poverty_aian" + stat_var_key: "poverty_a" + stat_var_key: "poverty_baa" + stat_var_key: "poverty_hl" + stat_var_key: "poverty_nhpi" + stat_var_key: "poverty_w" + } + } + } + + blocks { + title: "Disability status by race" + description: "Percentage of the population of each race with disabilities" + columns { + tiles { + type: LINE + title: "Percentage of the population of each race with disabilities in ${placeName}" + stat_var_key: "disability_aian" + stat_var_key: "disability_a" + stat_var_key: "disability_baa" + stat_var_key: "disability_hl" + stat_var_key: "disability_nhpi" + stat_var_key: "disability_w" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + highest_title: "Highest among ${statVar}" + } + stat_var_key: "disability_aian" + stat_var_key: "disability_a" + stat_var_key: "disability_baa" + stat_var_key: "disability_hl" + stat_var_key: "disability_nhpi" + stat_var_key: "disability_w" + } + } + } + + blocks { + title: "Correctional facility residents by race" + description: "Percentage of the population of each facility type, broken down by race" + columns { + # TODO(bhoot): Count_Person_ResidesInJuvenileFacilities is not available at the country level + # tiles { + # title: "Percentage of the population in juvenile facilities, ${placeName} (${date})" + # type: MAP + # stat_var_override { + # stat_var: "Count_Person_ResidesInJuvenileFacilities" + # denom: "Count_Person" + # scaling: 100 + # unit: "%" + # } + # } + tiles { + title: "Racial breakdown of juvenile facility residents" + type: LINE + stat_var_key: "juvie_aian" + stat_var_key: "juvie_a" + stat_var_key: "juvie_baa" + stat_var_key: "juvie_hl" + stat_var_key: "juvie_nhpi" + stat_var_key: "juvie_w" + } + } + columns { + # TODO: Enable when juvenile map is available. + # tiles { + # title: "Percentage of the population in adult correctional facilities, ${placeName} (${date})" + # type: MAP + # stat_var_override { + # stat_var: "Count_Person_ResidesInAdultCorrectionalFacilities" + # denom: "Count_Person" + # scaling: 100 + # unit: "%" + # } + # } + tiles { + title: "Racial breakdown of adult correctional facility residents" + type: LINE + stat_var_key: "jail_aian" + stat_var_key: "jail_a" + stat_var_key: "jail_baa" + stat_var_key: "jail_hl" + stat_var_key: "jail_nhpi" + stat_var_key: "jail_w" + } + } + } + blocks { + # Title intentionally left out to "merge" with previous block + description: "Percentage of the population of each race living in correctional facilities" + columns { + tiles { + title: "Percentage of each race in correctional facilities" + type: LINE + stat_var_key: "juvie_rate_aian" + stat_var_key: "juvie_rate_a" + stat_var_key: "juvie_rate_baa" + stat_var_key: "juvie_rate_hl" + stat_var_key: "juvie_rate_nhpi" + stat_var_key: "juvie_rate_w" + } + } + columns { + tiles { + title: "Percentage of each race in correctional facilities" + type: LINE + stat_var_key: "jail_rate_aian" + stat_var_key: "jail_rate_a" + stat_var_key: "jail_rate_baa" + stat_var_key: "jail_rate_hl" + stat_var_key: "jail_rate_nhpi" + stat_var_key: "jail_rate_w" + } + } + } + + stat_var_spec { + key: "income_aian" + value { + stat_var: "Median_Income_Household_HouseholderRaceAmericanIndianOrAlaskaNativeAlone" + unit: "$" + name: "American Indian or Alaska Native" + } + } + stat_var_spec { + key: "income_a" + value { + stat_var: "Median_Income_Household_HouseholderRaceAsianAlone" + unit: "$" + name: "Asian" + } + } + stat_var_spec { + key: "income_baa" + value { + stat_var: "Median_Income_Household_HouseholderRaceBlackOrAfricanAmericanAlone" + unit: "$" + name: "Black or African American" + } + } + stat_var_spec { + key: "income_hl" + value { + stat_var: "Median_Income_Household_HouseholderRaceHispanicOrLatino" + unit: "$" + name: "Hispanic or Latino" + } + } + stat_var_spec { + key: "income_nhpi" + value { + stat_var: "Median_Income_Household_HouseholderRaceNativeHawaiianOrOtherPacificIslanderAlone" + unit: "$" + name: "Native Hawaiian or Pacific Islander" + } + } + stat_var_spec { + key: "income_w" + value { + stat_var: "Median_Income_Household_HouseholderRaceWhiteAlone" + unit: "$" + name: "White" + } + } + + stat_var_spec { + key: "poverty_aian" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_AmericanIndianOrAlaskaNativeAlone" + denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" + scaling: 100 + unit: "%" + } + } + stat_var_spec { + key: "poverty_a" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_AsianAlone" + denom: "Count_Person_AsianAlone" + scaling: 100 + unit: "%" + } + } + stat_var_spec { + key: "poverty_baa" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_BlackOrAfricanAmericanAlone" + denom: "Count_Person_BlackOrAfricanAmericanAlone" + scaling: 100 + unit: "%" + } + } + stat_var_spec { + key: "poverty_hl" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_HispanicOrLatino" + denom: "Count_Person_HispanicOrLatino" + scaling: 100 + unit: "%" + } + } + stat_var_spec { + key: "poverty_nhpi" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_NativeHawaiianOrOtherPacificIslanderAlone" + denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" + scaling: 100 + unit: "%" + } + } + stat_var_spec { + key: "poverty_w" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_WhiteAlone" + denom: "Count_Person_WhiteAlone" + scaling: 100 + unit: "%" + } + } + + stat_var_spec { + key: "disability_aian" + value { + stat_var: "Count_Person_WithDisability_AmericanIndianOrAlaskaNativeAlone" + denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" + scaling: 100 + unit: "%" + name: "American Indian or Alaska Native" + } + } + stat_var_spec { + key: "disability_a" + value { + stat_var: "Count_Person_WithDisability_AsianAlone" + denom: "Count_Person_AsianAlone" + scaling: 100 + unit: "%" + name: "Asian" + } + } + stat_var_spec { + key: "disability_baa" + value { + stat_var: "Count_Person_WithDisability_BlackOrAfricanAmericanAlone" + denom: "Count_Person_BlackOrAfricanAmericanAlone" + scaling: 100 + unit: "%" + name: "Black or African American" + } + } + stat_var_spec { + key: "disability_hl" + value { + stat_var: "Count_Person_WithDisability_HispanicOrLatino" + denom: "Count_Person_HispanicOrLatino" + scaling: 100 + unit: "%" + name: "Hispanic or Latino" + } + } + stat_var_spec { + key: "disability_nhpi" + value { + stat_var: "Count_Person_WithDisability_NativeHawaiianOrOtherPacificIslanderAlone" + denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" + scaling: 100 + unit: "%" + name: "Native Hawaiian or Pacific Islander" + } + } + stat_var_spec { + key: "disability_w" + value { + stat_var: "Count_Person_WithDisability_WhiteAlone" + denom: "Count_Person_WhiteAlone" + scaling: 100 + unit: "%" + name: "White" + } + } + + stat_var_spec { + key: "juvie_aian" + value { + stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_ResidesInJuvenileFacilities" + scaling: 100 + unit: "%" + name: "American Indian or Alaska Native" + } + } + stat_var_spec { + key: "juvie_a" + value { + stat_var: "Count_Person_AsianAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_ResidesInJuvenileFacilities" + scaling: 100 + unit: "%" + name: "Asian" + } + } + stat_var_spec { + key: "juvie_baa" + value { + stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_ResidesInJuvenileFacilities" + scaling: 100 + unit: "%" + name: "Black or African American" + } + } + stat_var_spec { + key: "juvie_hl" + value { + stat_var: "Count_Person_HispanicOrLatino_ResidesInJuvenileFacilities" + denom: "Count_Person_ResidesInJuvenileFacilities" + scaling: 100 + unit: "%" + name: "Hispanic or Latino" + } + } + stat_var_spec { + key: "juvie_nhpi" + value { + stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_ResidesInJuvenileFacilities" + scaling: 100 + unit: "%" + name: "Native Hawaiian or Pacific Islander" + } + } + stat_var_spec { + key: "juvie_w" + value { + stat_var: "Count_Person_WhiteAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_ResidesInJuvenileFacilities" + scaling: 100 + unit: "%" + name: "White" + } + } + + stat_var_spec { + key: "jail_aian" + value { + stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_ResidesInAdultCorrectionalFacilities" + scaling: 100 + unit: "%" + name: "American Indian or Alaska Native" + } + } + stat_var_spec { + key: "jail_a" + value { + stat_var: "Count_Person_AsianAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_ResidesInAdultCorrectionalFacilities" + scaling: 100 + unit: "%" + name: "Asian" + } + } + stat_var_spec { + key: "jail_baa" + value { + stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_ResidesInAdultCorrectionalFacilities" + scaling: 100 + unit: "%" + name: "Black or African American" + } + } + stat_var_spec { + key: "jail_hl" + value { + stat_var: "Count_Person_HispanicOrLatino_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_ResidesInAdultCorrectionalFacilities" + scaling: 100 + unit: "%" + name: "Hispanic or Latino" + } + } + stat_var_spec { + key: "jail_nhpi" + value { + stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_ResidesInAdultCorrectionalFacilities" + scaling: 100 + unit: "%" + name: "Native Hawaiian or Pacific Islander" + } + } + stat_var_spec { + key: "jail_w" + value { + stat_var: "Count_Person_WhiteAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_ResidesInAdultCorrectionalFacilities" + scaling: 100 + unit: "%" + name: "White" + } + } + + stat_var_spec { + key: "juvie_rate_aian" + value { + stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" + scaling: 100 + unit: "%" + name: "American Indian or Alaska Native" + } + } + stat_var_spec { + key: "juvie_rate_a" + value { + stat_var: "Count_Person_AsianAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_AsianAlone" + scaling: 100 + unit: "%" + name: "Asian" + } + } + stat_var_spec { + key: "juvie_rate_baa" + value { + stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_BlackOrAfricanAmericanAlone" + scaling: 100 + unit: "%" + name: "Black or African American" + } + } + stat_var_spec { + key: "juvie_rate_hl" + value { + stat_var: "Count_Person_HispanicOrLatino_ResidesInJuvenileFacilities" + denom: "Count_Person_HispanicOrLatino" + scaling: 100 + unit: "%" + name: "Hispanic or Latino" + } + } + stat_var_spec { + key: "juvie_rate_nhpi" + value { + stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" + scaling: 100 + unit: "%" + name: "Native Hawaiian or Pacific Islander" + } + } + stat_var_spec { + key: "juvie_rate_w" + value { + stat_var: "Count_Person_WhiteAlone_ResidesInJuvenileFacilities" + denom: "Count_Person_WhiteAlone" + scaling: 100 + unit: "%" + name: "White" + } + } + + stat_var_spec { + key: "jail_rate_aian" + value { + stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" + scaling: 100 + unit: "%" + name: "American Indian or Alaska Native" + } + } + stat_var_spec { + key: "jail_rate_a" + value { + stat_var: "Count_Person_AsianAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_AsianAlone" + scaling: 100 + unit: "%" + name: "Asian" + } + } + stat_var_spec { + key: "jail_rate_baa" + value { + stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_BlackOrAfricanAmericanAlone" + scaling: 100 + unit: "%" + name: "Black or African American" + } + } + stat_var_spec { + key: "jail_rate_hl" + value { + stat_var: "Count_Person_HispanicOrLatino_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_HispanicOrLatino" + scaling: 100 + unit: "%" + name: "Hispanic or Latino" + } + } + stat_var_spec { + key: "jail_rate_nhpi" + value { + stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" + scaling: 100 + unit: "%" + name: "Native Hawaiian or Pacific Islander" + } + } + stat_var_spec { + key: "jail_rate_w" + value { + stat_var: "Count_Person_WhiteAlone_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_WhiteAlone" + scaling: 100 + unit: "%" + name: "White" + } + } +} + +categories { + title: "Disability status" + description: "The US Census Bureau collects data on disability through a few programs which have different definitions of disability. The data in this section is from the American Community Survey (ACS) which includes six questions on the topic. Respondents reporting hearing, vision, cognitive, ambulatory, self-care or independent living difficulties are considered to have a disability. For more information, see https://www.census.gov/topics/health/disability/guidance/data-collection-acs.html" + + blocks { + columns { + tiles { + title: "Percentage of the population with disabilities (${date})" + type: MAP + stat_var_key: "disability_rate" + } + } + columns { + tiles { + type: HIGHLIGHT + description: "of Americans have disabilities (${date})" + stat_var_key: "disability_rate" + } + + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "disability_rate" + } + } + } + + blocks { + title: "Without health insurance" + columns { + tiles { + type: HIGHLIGHT + description: "of Americans with disabilities have no health insurance (${date})" + stat_var_key: "disabled_uninsured_rate" + } + + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "disabled_uninsured_rate" + } + } + columns { + tiles { + title: "Percentage of the population with disabilities (${date})" + type: MAP + stat_var_key: "disabled_uninsured_rate" + } + } + + } + + # TODO: Computed percentages does not sum up to 100% with uninsured block. + # blocks { + # title: "With health insurance" + # stat_var_spec { + # stat_var: "Count_Person_WithHealthInsurance_WithDisability" + # denom: "Count_Person_WithDisability" + # name: "Percentage of people with disabilities and health insurance" + # unit: "%" + # scaling: 100 + # } + # columns { + # tiles { + # title: "Percentage of the population with disabilities and health insurance (${date})" + # type: MAP + # } + # } + # columns { + # # TODO(pradh): Count_Person_WithHealthInsurance_WithDisability not available at country level. + # # tiles { + # # type: HIGHLIGHT + # # description: "of Americans with disabilities have health insurance (${date})" + # # } + # tiles { + # type: RANKING + # ranking_tile_spec { + # show_highest: true + # show_lowest: true + # } + # } + # } + # } + + # TODO(beets): The charts here would be better as percentages, but there is no denominator: Count_Household_WithDisability + blocks { + title: "Food assistance for households with disabilities" + description: "Number of households with one or more people with a disability receiving food stamps in the last 12 months." + columns { + tiles { + type: MAP + title: "Number of households with one or more people with a disability receiving food stamps (${date})" + stat_var_key: "disabled_foodstamps" + } + } + columns { + tiles { + type: MAP + title: "Number of households with one or more people with a disability not receiving food stamps (${date})" + stat_var_key: "disabled_nofoodstamps" + } + } + } + + + blocks { + title: "Correctional facility residents with disabilities" + description: "Percentage of the population of each facility type with disabiliites" + columns { + # TODO(bhoot): This data is not available at the state level. Neither is the "no disability" corrolary data. + # tiles { + # title: "Percentage of the juvenile facility residents with disabiliites (${date})" + # type: MAP + # } + tiles { + title: "Percentage of the juvenile facility residents with disabiliites" + type: LINE + stat_var_key: "disabled_juvie" + } + } + columns { + tiles { + title: "Percentage of the adult correctional facility residents with disabiliites (${date})" + type: MAP + stat_var_key: "disabled_jail" + } + } + } + + stat_var_spec { + key: "disability_rate" + value { + stat_var: "Count_Person_WithDisability" + denom: "Count_Person" + name: "Percentage of people with disability" + unit: "%" + scaling: 100 + } + } + stat_var_spec { + key: "disabled_uninsured_rate" + value { + stat_var: "Count_Person_NoHealthInsurance_WithDisability" + denom: "Count_Person_WithDisability" + name: "Percentage of people with disabilities and no health insurance" + unit: "%" + scaling: 100 + } + } + stat_var_spec { + key: "disabled_foodstamps" + value { + stat_var: "Count_Household_WithFoodStampsInThePast12Months_WithDisability" + } + } + stat_var_spec { + key: "disabled_nofoodstamps" + value { + stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_WithDisability" + } + } + stat_var_spec { + key: "disabled_juvie" + value { + stat_var: "Count_Person_WithDisability_ResidesInJuvenileFacilities" + denom: "Count_Person_ResidesInJuvenileFacilities" + scaling: 100 + unit: "%" + name: "With disability" + } + } + stat_var_spec { + key: "disabled_jail" + value { + stat_var: "Count_Person_WithDisability_ResidesInAdultCorrectionalFacilities" + denom: "Count_Person_ResidesInAdultCorrectionalFacilities" + scaling: 100 + unit: "%" + } + } +} \ No newline at end of file diff --git a/server/lib/util.py b/server/lib/util.py index 222fdd8330..da9c941982 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -51,7 +51,8 @@ 'equity': ['USA', 'CA'], 'poverty': ['USA', 'India'], 'dev': ['CA'], - 'sdg': ['sdg'] + 'sdg': ['sdg'], + 'foodsecurity' : ['USA', 'CA'] } # Levels range from 0 (fastest, least compression), to 9 (slowest, most diff --git a/server/routes/ts_issue_landing.py b/server/routes/ts_issue_landing.py new file mode 100644 index 0000000000..66b765b9d0 --- /dev/null +++ b/server/routes/ts_issue_landing.py @@ -0,0 +1,32 @@ +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Data Commons static content routes.""" + +from datetime import date +import os + +import flask +from flask import Blueprint +from flask import render_template + +import server.lib.render as lib_render +from server.services import datacommons as dc + +bp = Blueprint('ts_issue_landing', __name__) + + +@bp.route('/foodsecurity') +def foodsecurity(): + return flask.render_template('custom_dc/custom/issue_landing/foodsecurity.html') + diff --git a/server/templates/custom_dc/custom/base.html b/server/templates/custom_dc/custom/base.html index 2c54c10449..befa8e3faf 100644 --- a/server/templates/custom_dc/custom/base.html +++ b/server/templates/custom_dc/custom/base.html @@ -103,7 +103,17 @@ diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index 3905829c8c..1e29775f3d 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -21,6 +21,14 @@ {% block content %}
-

Home Page

+ {# +

What Can Your Organization Do With Public Data?

+

About Data Commons for Nonprofits

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc ac interdum lectus. Ut condimentum rhoncus massa id tempus. Ut elementum lectus et nisi porttitor consequat. Phasellus blandit accumsan dui at blandit. Curabitur at eros mauris. Aliquam eget commodo metus, sed semper urna. Etiam ut velit eget ligula accumsan consectetur ultricies quis dolor. Curabitur malesuada consequat mi, nec sodales lacus pulvinar posuere. Aliquam in imperdiet quam, sit amet maximus ex. Nulla vehicula vel lorem eu auctor. In hac habitasse platea dictumst. Sed ipsum turpis, tempus in tellus non, blandit suscipit lectus. Aenean sed egestas nulla, non ornare ante.

+

What issues does your organization care about?

+ + #}
{% endblock %} \ No newline at end of file diff --git a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html new file mode 100644 index 0000000000..e6ecff3241 --- /dev/null +++ b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html @@ -0,0 +1,54 @@ +{# + Copyright 2023 Google LLC + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + #} + + {%- extends BASE_HTML -%} + + {% set main_id = 'foodsecurity' %} + {% set page_id = 'page-foodsecurity' %} + {% set title = 'Food Security' %} + + {% block content %} +
+

Issue Area: Food Security

+

We're working with Food Security Organizations to highlight data in Data Commons that can help answer the questions that matter the most to them. Here are some examples of we have heard:

+

What health issues are the most prevalent among those under the poverty line in my state?

+

Why does this matter?

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit.

+

What data is available in Data Commons

+ Data Commons has statistics from the CDC about the prevalence of various health conditions that may be of interest to food security organizations. Some examples are: + + These statistics are not broken down by poverty status, but they can be combined with other data about poverty in Data Commons, such as: + + For example, here is a map of Maine that uses different colors to show the relationship between the diabetes and poverty in each county. You can see that the darker blue colors indicate counties where there are higher levels of both diabetes and poverty. Click on the image to see the map in action, and put in the state and the medical condition that you're interested in. + + + + +

Related Topic Pages

+ + +
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zfd9I-39ls`-rch%tAmFDoW|BbK@3+~>VhVV`nR+^Y6DP^z-R|h2=dkFS8UqXS{#BK zXX`T>-${S_%YbMyAB54#<-fS{$2ab}2aQ<->sl%Y9VVg>QuEoxXh0=IE95@Udq5;RZj4oO6}N)% z#lxR(V!n}Th%yRkT}M>PJh_u}$zhXq$Q2+)lx=z&b9K6}ph^oHh!)=!x$ZNT7*D7= zr-PNRxwR?_;Ps)g<%P>YCh0I~viwYHiP5?VI;{o&O^b^BEQ;+{v@9U6j($yre-{h$we4jK@*h( zRg;HqCS`lVHq)-BDRcI1msX;%f1jsy9>@ab)qlyG(~)B`6ua7jg>$=#$#BKG14YWb z?>Hwfj@b96s7=7LW@2WxqSQ(zle`~E9951=41QmqF{N4^d*{q5b}Vp<1LGDr@=d(0 zi5E5Li1&zn-Dg7mVa)`PO!CXKubU&T%I65lRZ6+gs%_r*PeG!D}9> z%Y*cp%5qk{$m$R?T~>3iB4>#j$5)Iz~R@Yl(gSS!EzX!+vicJ3g z;@@lbyFwsXY^q4T^!0DS^538R5k9^joTLc!+`yWh-GAQW&+C9XW-&~FeMsi$t-tW+ zDe8Y-XomTO92m3Av1KK{gV%p}HUIdf^HB^?7)Teo`qJ^Aqx=7Qult7AlHr_rY1aR* zcB*0nT3>%W!mII*-u*w`|Nl4WzZ Date: Sat, 6 May 2023 17:20:59 -0700 Subject: [PATCH 03/84] Food sec topic page WIP --- deploy/git/website_hash.txt | 2 +- .../topic_page/foodsecurity/CA.textproto | 253 +++++++++++++++++- server/routes/topic_page.py | 5 + .../templates/custom_dc/custom/homepage.html | 13 +- .../custom_dc/custom/images/home_header.png | Bin 0 -> 60107 bytes static/custom_dc/custom/overrides.css | 17 ++ 6 files changed, 268 insertions(+), 22 deletions(-) create mode 100644 static/custom_dc/custom/images/home_header.png diff --git a/deploy/git/website_hash.txt b/deploy/git/website_hash.txt index ad34447108..fa456e3793 100644 --- a/deploy/git/website_hash.txt +++ b/deploy/git/website_hash.txt @@ -1 +1 @@ -39fe76e +ebacf7e diff --git a/server/config/topic_page/foodsecurity/CA.textproto b/server/config/topic_page/foodsecurity/CA.textproto index 6e2c5bffca..676d1d5c4e 100644 --- a/server/config/topic_page/foodsecurity/CA.textproto +++ b/server/config/topic_page/foodsecurity/CA.textproto @@ -25,32 +25,174 @@ metadata { } categories { - title: "Health Conditions" - description: "(Description of health conditions will go here)" + title: "The Need" + description: "(Description will go here)" + blocks { - title: "Prevalance of Diabetes" - description: "(Prevalence of diabetes description will go here)" + title: "Population below the poverty level" + description: "(description here)" + columns { + tiles { + type: HIGHLIGHT + description: "people below the poverty level in the last 12 months in ${placeName} (${date})" + stat_var_key: "count_person_below_poverty_level" + } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "count_person_below_poverty_level" + } + + } columns { tiles { type: MAP - title: "Prevalence of diabetes (${date})" - stat_var_key: "prevalence_diabetes" + title: " in ${placeName}" + stat_var_key: "count_person_below_poverty_level" } } + } + + blocks { + title: "Low Access to Grocery Stores" + description: "(description here)" columns { + tiles { + type: HIGHLIGHT + description: "low income people with poor access to grocery stores in ${placeName} (${date})" + stat_var_key: "count_lowincome_lowgroceryaccess" + } tiles { type: RANKING ranking_tile_spec { show_highest: true show_lowest: true } - stat_var_key: "prevalence_diabetes" + stat_var_key: "count_lowincome_lowgroceryaccess" + } + + } + columns { + tiles { + type: MAP + title: " in ${placeName}" + stat_var_key: "count_lowincome_lowgroceryaccess" + } + } + } + + stat_var_spec { + key: "count_person_below_poverty_level" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" + name: "Population below poverty level" + } + } + + + stat_var_spec { + key: "count_lowincome_lowgroceryaccess" + value { + stat_var: "Low_Income_Low_Access_To_Grocery_Store" + name: "Population with Low Income and Low Access to Grocery Stores" + } + } +} + + +categories { + title: "Food Assistance" + description: "(Description will go here)" + + blocks { + title: "Supplemental Nutrition Assistance Program (SNAP) recipients" + description: "(description here)" + columns { + tiles { + type: HIGHLIGHT + description: "Households receiving SNAP benefits in ${placeName} (${date})" + stat_var_key: "count_snap" + } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "pc_snap" + } + + } + columns { + tiles { + type: LINE + title: "SNAP participants in ${placeName}" + stat_var_key: "count_snap" } + } } blocks { - title: "Health conditions" + title: "Community Food Services" + description: "(description here)" + + columns { + tiles { + type: MAP + title: "Community Food Services establishments in ${placeName}" + stat_var_key: "pc_community_food_services" + } + } + columns { + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "pc_community_food_services" + } + + } + } + + stat_var_spec { + key: "count_snap" + value { + stat_var: "Count_Household_WithFoodStampsInThePast12Months" + name: "Households receiving SNAP benefits in the past year" + } + } + stat_var_spec { + key: "pc_snap" + value { + stat_var: "Count_Household_WithFoodStampsInThePast12Months" + denom: "Count_Person" + name: "Households receiving SNAP benefits in the past year (per capita)" + } + } + stat_var_spec { + key: "pc_community_food_services" + value { + stat_var: "dc/j1kr0ft77ptb6" + denom: "Count_Person" + name: "Community Food Services establishments (per capita)" + } + } +} + + + +categories { + title: "Health Conditions" + description: "(Description of health conditions will go here)" + + blocks { + title: "Summary" columns { tiles { type: BAR @@ -75,35 +217,122 @@ categories { } } } + blocks { + title: "By County" + description: "(Prevalence of diabetes description will go here)" + columns { + tiles { + type: MAP + title: "Prevalence of Diabetes (${date})" + stat_var_key: "prevalence_diabetes" + } + tiles { + type: MAP + title: "Prevalence of High Blood Pressure (${date})" + stat_var_key: "prevalence_highbloodpressure" + } + } + columns { + tiles { + type: MAP + title: "Prevalence of Coronary Heart Disease (${date})" + stat_var_key: "prevalence_chd" + } + tiles { + type: MAP + title: "Prevalence of High Cholesterol (${date})" + stat_var_key: "prevalence_highcholesterol" + } + } + } + blocks { + title: "TESTING" + description: "Testing" + columns { + tiles { + type: SCATTER + title: "TEST (${xDate}) vs. TEST (${yDate})" + stat_var_key: 'prevalence_diabetes' + stat_var_key: 'prevalence_chd' + } + } + columns { + tiles { + type: BIVARIATE + title: "Testing" + stat_var_key: 'prevalence_diabetes' + stat_var_key: 'prevalence_chd' + } + } + } + blocks { + title: "TESTING" + description: "Testing" + columns { + tiles { + type: BIVARIATE + title: "Testing" + stat_var_key: 'prevalence_diabetes' + stat_var_key: 'prevalence_chd' + } + } + } + + stat_var_spec { key: "prevalence_diabetes" value { stat_var: "Percent_Person_WithDiabetes" - name: "Percentage of population with Diabetes" + name: "% population with Diabetes" } } stat_var_spec { key: "prevalence_chd" value { stat_var: "Percent_Person_WithCoronaryHeartDisease" - name: "Percentage of population with Coronary Heart Disease" + name: "% population with Coronary Heart Disease" } } stat_var_spec { key: "prevalence_highbloodpressure" value { stat_var: "Percent_Person_WithHighBloodPressure" - name: "Percentage of population with High Blood Pressure" + name: "% population with High Blood Pressure" } } stat_var_spec { key: "prevalence_highcholesterol" value { stat_var: "Percent_Person_WithHighCholesterol" - name: "Percentage of population with High Cholesterol" + name: "% population with High Cholesterol" } } } +categories { + title: "Community food Assistance" + description: "(Description will go here)" + + + blocks { + title: "TESTING" + description: "Testing" + columns { + tiles { + type: LINE + title: "TEST in ${placeName}" + stat_var_key: "count_communityfoodservices" + } + } + } + + stat_var_spec { + key: "count_communityfoodservices" + value { + stat_var: "dc/j1kr0ft77ptb6" + name: "# of Community Food Services" + } + } +} \ No newline at end of file diff --git a/server/routes/topic_page.py b/server/routes/topic_page.py index eb7ddf453c..74a4cd3bfa 100644 --- a/server/routes/topic_page.py +++ b/server/routes/topic_page.py @@ -71,6 +71,11 @@ def topic_page(topic_id=None, place_dcid=None): all_configs = current_app.config['TOPIC_PAGE_CONFIG'] if g.env == 'local': all_configs = libutil.get_topic_page_config() + + # TO DO: For TECHSOUP dev only, remove this before deploying + if g.env == 'custom': + all_configs = libutil.get_topic_page_config() + topic_configs = all_configs.get(topic_id, []) if topic_id in _DEBUG_TOPICS: diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index 1e29775f3d..d6312cb3ba 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -21,14 +21,9 @@ {% block content %}

- {# -

What Can Your Organization Do With Public Data?

-

About Data Commons for Nonprofits

-

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc ac interdum lectus. Ut condimentum rhoncus massa id tempus. Ut elementum lectus et nisi porttitor consequat. Phasellus blandit accumsan dui at blandit. Curabitur at eros mauris. Aliquam eget commodo metus, sed semper urna. Etiam ut velit eget ligula accumsan consectetur ultricies quis dolor. Curabitur malesuada consequat mi, nec sodales lacus pulvinar posuere. Aliquam in imperdiet quam, sit amet maximus ex. Nulla vehicula vel lorem eu auctor. In hac habitasse platea dictumst. Sed ipsum turpis, tempus in tellus non, blandit suscipit lectus. Aenean sed egestas nulla, non ornare ante.

-

What issues does your organization care about?

- - #} +
+
+
+

Public data that can power your work

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zCCEk}y;!fB_9jP8H^#e}lNHSgF7c{5@KhodG9zo3B^0tD4C(>Q@Pwu3%H5&7uYK~&+0;*-x3TSl&5 z2}MPNOD(UA%}gi?_{f@KKA27kV8Dz;IM$M4(z|-Ov_#{L?cUKBw&95I(K6=nJ#}qm zCTw`F_}NNaLf$~?HTBZw0eTZ_lp6-FG_9K< z$EmG9!}*$OWrASNUX=y#QG54VB4*>L9M+3jv6n{u^-*rx!VF4eympn|w6El473TRaP22Ti7N z_qIJ&-X)0)cS-iymcE^53X1PolaGJLY54_rV$=Blq@eLlen_x%<51aSem?FpKVyBm I*2MG1KN;Xg7ytkO literal 0 HcmV?d00001 diff --git a/static/custom_dc/custom/overrides.css b/static/custom_dc/custom/overrides.css index 4b8f503bd4..82b1eefb27 100644 --- a/static/custom_dc/custom/overrides.css +++ b/static/custom_dc/custom/overrides.css @@ -52,4 +52,21 @@ #main-header #main-header-logo img { height: 25px; margin-right: 30px; +} + +.homepage-header { + background-image: url("/custom_dc/custom/images/home_header.png"); + background-size: cover; + background-position: center; + height: 400px; + display: flex; + align-items: center; + justify-content: center; + text-align: center; +} + +.homepage-header h1 { + color: #222; + font-size: 3rem; + margin: 0; } \ No newline at end of file From b8f59521a908cfe90cebd3e0e2c6c89c3945c46e Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sun, 7 May 2023 00:41:11 -0700 Subject: [PATCH 04/84] Food sec landing page WIP --- deploy/git/website_hash.txt | 2 +- .../topic_page/foodsecurity/CA.textproto | 229 +++++++++++++----- .../templates/custom_dc/custom/homepage.html | 20 ++ .../custom/issue_landing/foodsecurity.html | 93 ++++--- .../commfoodservices_poverty_kansas.png | Bin 0 -> 377447 bytes .../custom/images/diabetes_poverty-maine.png | Bin 231551 -> 0 bytes .../images/diabetes_poverty-virginia.png | Bin 0 -> 369350 bytes .../custom_dc/custom/images/food-security.png | Bin 0 -> 24438 bytes .../images/lowgroceryaccess_nocar_nc.png | Bin 0 -> 302209 bytes static/custom_dc/custom/overrides.css | 26 +- 10 files changed, 284 insertions(+), 86 deletions(-) create mode 100644 static/custom_dc/custom/images/commfoodservices_poverty_kansas.png delete mode 100644 static/custom_dc/custom/images/diabetes_poverty-maine.png create mode 100644 static/custom_dc/custom/images/diabetes_poverty-virginia.png create mode 100644 static/custom_dc/custom/images/food-security.png create mode 100644 static/custom_dc/custom/images/lowgroceryaccess_nocar_nc.png diff --git a/deploy/git/website_hash.txt b/deploy/git/website_hash.txt index fa456e3793..def8fa39f3 100644 --- a/deploy/git/website_hash.txt +++ b/deploy/git/website_hash.txt @@ -1 +1 @@ -ebacf7e +c7ac2a1 diff --git a/server/config/topic_page/foodsecurity/CA.textproto b/server/config/topic_page/foodsecurity/CA.textproto index 676d1d5c4e..5b10f35971 100644 --- a/server/config/topic_page/foodsecurity/CA.textproto +++ b/server/config/topic_page/foodsecurity/CA.textproto @@ -61,10 +61,12 @@ categories { description: "(description here)" columns { tiles { - type: HIGHLIGHT - description: "low income people with poor access to grocery stores in ${placeName} (${date})" + type: MAP + title: " in ${placeName}" stat_var_key: "count_lowincome_lowgroceryaccess" } + } + columns { tiles { type: RANKING ranking_tile_spec { @@ -73,14 +75,6 @@ categories { } stat_var_key: "count_lowincome_lowgroceryaccess" } - - } - columns { - tiles { - type: MAP - title: " in ${placeName}" - stat_var_key: "count_lowincome_lowgroceryaccess" - } } } @@ -245,42 +239,7 @@ categories { } } } - blocks { - title: "TESTING" - description: "Testing" - columns { - tiles { - type: SCATTER - title: "TEST (${xDate}) vs. TEST (${yDate})" - stat_var_key: 'prevalence_diabetes' - stat_var_key: 'prevalence_chd' - } - } - columns { - tiles { - type: BIVARIATE - title: "Testing" - stat_var_key: 'prevalence_diabetes' - stat_var_key: 'prevalence_chd' - } - } - } - blocks { - title: "TESTING" - description: "Testing" - columns { - tiles { - type: BIVARIATE - title: "Testing" - stat_var_key: 'prevalence_diabetes' - stat_var_key: 'prevalence_chd' - } - } - } - - - stat_var_spec { key: "prevalence_diabetes" value { @@ -312,27 +271,183 @@ categories { } categories { - title: "Community food Assistance" - description: "(Description will go here)" - + title: "Surplus Food Potential" blocks { - title: "TESTING" - description: "Testing" + title: "Sources of Surplus Food" columns { tiles { - type: LINE - title: "TEST in ${placeName}" - stat_var_key: "count_communityfoodservices" + type: MAP + title: "Farms in ${placeName}" + stat_var_key: "count_farm" + } + + + tiles { + type: MAP + title: "Grocery Wholesalers in ${placeName}" + stat_var_key: "establishments_wholesalers" + } + tiles { + type: MAP + title: "Restaurants in ${placeName}" + stat_var_key: "establishments_restaurants" + } + tiles { + type: MAP + title: "Colleges and Universities in ${placeName}" + stat_var_key: "establishments_colleges" + } + } + columns { + tiles { + type: MAP + title: "Food Manufacturing in ${placeName}" + stat_var_key: "establishment_foodmanufacturing" + } + tiles { + type: MAP + title: "Grocery Stores in ${placeName}" + stat_var_key: "establishments_grocery" + } + tiles { + type: MAP + title: "Hotels in ${placeName}" + stat_var_key: "establishment_traveleraccommodations" + } + tiles { + type: MAP + title: "Primary and Secondary Schools in ${placeName}" + stat_var_key: "establishment_primarysecondaryschools" } } + } + stat_var_spec { - key: "count_communityfoodservices" + key: "establishments_restaurants" value { - stat_var: "dc/j1kr0ft77ptb6" - name: "# of Community Food Services" + stat_var: "dc/redh1q644pn3b" + name: "# of restaurants" + } + } + stat_var_spec { + key: "establishments_grocery" + value { + stat_var: "dc/bdb0eypp5ek6h" + name: "# of grocery stores" + } + } + stat_var_spec { + key: "establishments_wholesalers" + value { + stat_var: "dc/tsye5m13dgm81" + name: "# of grocery wholesalers" } } -} \ No newline at end of file + stat_var_spec { + key: "establishments_colleges" + value { + stat_var: "dc/ds35leh1tbb6d" + name: "# colleges and universities" + } + } + stat_var_spec { + key: "count_farm" + value { + stat_var: "Count_Farm" + name: "# farms" + } + } + stat_var_spec { + key: "establishment_foodmanufacturing" + value { + stat_var: "dc/ld7r82rlc7se6" + name: "# food manufacturing establishments" + } + } + stat_var_spec { + key: "establishment_traveleraccommodations" + value { + stat_var: "dc/mq2x2pzme3yfh" + name: "# hotels" + } + } + stat_var_spec { + key: "establishment_primarysecondaryschools" + value { + stat_var: "dc/1xbz8tzx9lhmg" + name: "# primary and secondary schools" + } + } + + +} + + +#categories { +# title: "TESTING" +# +# blocks { +# title: "TESTING" +# description: "Testing" +# columns { +# tiles { +# type: SCATTER +# title: "TEST (${xDate}) vs. TEST (${yDate})" +# stat_var_key: 'prevalence_diabetes' +# stat_var_key: 'prevalence_chd' +# } +# } +# columns { +# tiles { +# type: BIVARIATE +# title: "Testing" +# stat_var_key: 'prevalence_diabetes' +# stat_var_key: 'prevalence_chd' +# } +# } +# } +# blocks { +# title: "TESTING" +# description: "Testing" +# columns { +# tiles { +# type: BIVARIATE +# title: "Testing" +# stat_var_key: 'prevalence_diabetes' +# stat_var_key: 'prevalence_chd' +# } +# } +# } +# +# stat_var_spec { +# key: "prevalence_diabetes" +# value { +# stat_var: "Percent_Person_WithDiabetes" +# name: "% population with Diabetes" +# } +# } +# stat_var_spec { +# key: "prevalence_chd" +# value { +# stat_var: "Percent_Person_WithCoronaryHeartDisease" +# name: "% population with Coronary Heart Disease" +# } +# } +# stat_var_spec { +# key: "prevalence_highbloodpressure" +# value { +# stat_var: "Percent_Person_WithHighBloodPressure" +# name: "% population with High Blood Pressure" +# } +# } +# stat_var_spec { +# key: "prevalence_highcholesterol" +# value { +# stat_var: "Percent_Person_WithHighCholesterol" +# name: "% population with High Cholesterol" +# } +# } +#} \ No newline at end of file diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index d6312cb3ba..d60a3d8793 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -23,7 +23,27 @@

+

Public data that can power your work

+

+ Data Commons is a powerful tool that nonprofits and other organizations can use to find public data all in one place. [TO DO] Whether you’re trying to make a data-informed decision or understand your community better, you can find data that matters to you. +

+

Tailor made for nonprofit organizations

+

+ TechSoup and DataCommons.org are collaborating to understand which datasets are useful to nonprofits and how they might more easily access them. TechSoup.datacommons.org and DataCommons.org hold the same datasets, but TechSoup.datacommons.org will include resources tailored to nonprofits as well as additional data that organizations identify and request. If you have datasets in mind that aren’t part of Data Commons, or you have a need that you wish you could meet using Data Commons, please take a moment to share your ideas. TechSoup.datacommons.org is informed by what you need to know, and will change based on your input. +

+
+

+ If you work for an organization that needs data related to food insecurity, start here. Look for more tailored resources by organization type in the future. +

+
+

Flexibility and functionality for your organization

+

+ Using Data Commons, you have access to an enormous amount of data that you can finetune to fit what you need. What’s more, you can select data visualizations to tell your story in the way you need it told. Here are some helpful videos to get you started. +

+ + + {% endblock %} \ No newline at end of file diff --git a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html index e6ecff3241..e79cad9f9b 100644 --- a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html +++ b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html @@ -22,33 +22,72 @@ {% block content %}
-

Issue Area: Food Security

-

We're working with Food Security Organizations to highlight data in Data Commons that can help answer the questions that matter the most to them. Here are some examples of we have heard:

-

What health issues are the most prevalent among those under the poverty line in my state?

-

Why does this matter?

-

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit.

-

What data is available in Data Commons

- Data Commons has statistics from the CDC about the prevalence of various health conditions that may be of interest to food security organizations. Some examples are: - - These statistics are not broken down by poverty status, but they can be combined with other data about poverty in Data Commons, such as: - - For example, here is a map of Maine that uses different colors to show the relationship between the diabetes and poverty in each county. You can see that the darker blue colors indicate counties where there are higher levels of both diabetes and poverty. Click on the image to see the map in action, and put in the state and the medical condition that you're interested in. - - - - -

Related Topic Pages

- +
+
+
+

Data Commons for Food Security Organizations

+

We're working with Food Security Organizations to help them get the most out of Data Commons, and to highlight data in Data Commons that matters most to them.

+

Explore Food Security data in your state

+

Here are some examples of questions that Data Commons can help to answer for your organization:

+ +
+

How prevalent are specific health issues among those in need of food assistance?

+

+ + {% set chart_link='/tools/scatter#%26svx%3DCount_Person_BelowPovertyLevelInThePast12Months%26pcx%3D1%26dx%3DCount_Person%26svy%3DPercent_Person_WithDiabetes%26dy%3DCount_Person%26epd%3DgeoId%2F51%26ept%3DCounty%26ct%3D1' %} + + + + Diabetes vs. Poverty in Virginia + + Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. +

+

+ Data Commons has statistics from the CDC about the prevalence of various health conditions that may be of interest to food security organizations. Some examples are: +

+ These statistics are not broken down by poverty status, but they can be combined with other data about poverty in Data Commons, such as: + +

+
+ +
+

Are there areas with high rates of poverty where there are not enough food assistance organizations?

+

+ + {% set chart_link='/tools/scatter#%26svx%3DCount_Person_BelowPovertyLevelInThePast12Months%26pcx%3D1%26dx%3DCount_Person%26svy%3Ddc%2Fvekpd9nlmyf0b%26pcy%3D1%26dy%3DCount_Person%26epd%3DgeoId%2F20%26ept%3DCounty%26ct%3D1' %} + + + + Community food services vs. Poverty in Kansas + + Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. +

+

+ Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. +

+
+
+

Which areas have a large number of people that have poor access to grocery stores?

+

+ + {% set chart_link='/tools/map#%26sv%3DHouseholds_No_Car_Low_Access_To_Grocery_Store%26pc%3D1%26denom%3DCount_Person%26pd%3DgeoId%2F37%26ept%3DCounty' %} + + + + Households with no car and low access to grocery stores in N. Carolina + + Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. +

+
+
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    Date: Sun, 7 May 2023 23:41:15 -0700 Subject: [PATCH 05/84] initial site structure and landing page content --- server/app_env/custom.py | 2 +- .../topic_page/foodsecurity/CA.textproto | 8 -- server/templates/custom_dc/custom/base.html | 2 +- .../templates/custom_dc/custom/homepage.html | 39 +++++-- .../custom/issue_landing/foodsecurity.html | 102 +++++++++++------- static/custom_dc/custom/overrides.css | 78 ++++++++++++++ 6 files changed, 175 insertions(+), 56 deletions(-) diff --git a/server/app_env/custom.py b/server/app_env/custom.py index 3fff0ca711..66015b057a 100644 --- a/server/app_env/custom.py +++ b/server/app_env/custom.py @@ -18,7 +18,7 @@ class Config(_base.Config): CUSTOM = True - NAME = "Data Commons for Nonprofits" + NAME = "Data Commons for Civil Society" OVERRIDE_CSS_PATH = '/custom_dc/custom/overrides.css' LOGO_PATH = "/custom_dc/custom/techsoup-logo.svg" diff --git a/server/config/topic_page/foodsecurity/CA.textproto b/server/config/topic_page/foodsecurity/CA.textproto index 5b10f35971..5fc13016ce 100644 --- a/server/config/topic_page/foodsecurity/CA.textproto +++ b/server/config/topic_page/foodsecurity/CA.textproto @@ -26,11 +26,9 @@ metadata { categories { title: "The Need" - description: "(Description will go here)" blocks { title: "Population below the poverty level" - description: "(description here)" columns { tiles { type: HIGHLIGHT @@ -58,7 +56,6 @@ categories { blocks { title: "Low Access to Grocery Stores" - description: "(description here)" columns { tiles { type: MAP @@ -99,11 +96,9 @@ categories { categories { title: "Food Assistance" - description: "(Description will go here)" blocks { title: "Supplemental Nutrition Assistance Program (SNAP) recipients" - description: "(description here)" columns { tiles { type: HIGHLIGHT @@ -132,7 +127,6 @@ categories { blocks { title: "Community Food Services" - description: "(description here)" columns { tiles { @@ -183,7 +177,6 @@ categories { categories { title: "Health Conditions" - description: "(Description of health conditions will go here)" blocks { title: "Summary" @@ -213,7 +206,6 @@ categories { } blocks { title: "By County" - description: "(Prevalence of diabetes description will go here)" columns { tiles { type: MAP diff --git a/server/templates/custom_dc/custom/base.html b/server/templates/custom_dc/custom/base.html index befa8e3faf..49efb198d6 100644 --- a/server/templates/custom_dc/custom/base.html +++ b/server/templates/custom_dc/custom/base.html @@ -34,7 +34,7 @@ - {{ title }} - Data Commons for Nonprofits + Data Commons for Civil Society

    Public data that can power your work

    - Data Commons is a powerful tool that nonprofits and other organizations can use to find public data all in one place. [TO DO] Whether you’re trying to make a data-informed decision or understand your community better, you can find data that matters to you. + Data Commons for Civil Society is a powerful tool that makes it easy for nonprofits, NGOs, and other civil society organizations to find and use public data, and to explore connections between data sets. + + Whether you’re trying to make a data-informed decision or understand your community better, you can find data that matters to you.

    -

    Tailor made for nonprofit organizations

    + +

    Tailor made for civil society

    - TechSoup and DataCommons.org are collaborating to understand which datasets are useful to nonprofits and how they might more easily access them. TechSoup.datacommons.org and DataCommons.org hold the same datasets, but TechSoup.datacommons.org will include resources tailored to nonprofits as well as additional data that organizations identify and request. If you have datasets in mind that aren’t part of Data Commons, or you have a need that you wish you could meet using Data Commons, please take a moment to share your ideas. TechSoup.datacommons.org is informed by what you need to know, and will change based on your input. + Data Commons for Civil Society is powered by DataCommons.org, and includes + resources tailored for organizations like yours, as well as additional data sets that reflect the issues most important + to civil society. If you have datasets in mind that aren’t part of Data Commons, or you have a need that you wish you could + meet using Data Commons, please take a moment to share your ideas. Your input will help us make + Data Commons for Civil Society work better for you.

    -
    -

    - If you work for an organization that needs data related to food insecurity, start here. Look for more tailored resources by organization type in the future. -

    -
    +

    Flexibility and functionality for your organization

    - Using Data Commons, you have access to an enormous amount of data that you can finetune to fit what you need. What’s more, you can select data visualizations to tell your story in the way you need it told. Here are some helpful videos to get you started. + Using Data Commons, you have access to an enormous amount of data that you can finetune to fit what you need. What’s more, you can select data visualizations to tell your story in the way you need it told. + Stay tuned for helpful tutorials and resources to get you started.

    + +
    +
    +
    +

    Are you a food security organization?

    +

    + We are currently working with food security organizations to highlight data in Data Commons that is most relevant to their work. + Let us know if you'd like to be involved, or take a look at what we are working on. +

    +
    + Data Commons for Food Security Organizations +
    +
    +
    +
    + + diff --git a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html index e79cad9f9b..f527e0f776 100644 --- a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html +++ b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html @@ -26,40 +26,24 @@

    Data Commons for Food Security Organizations

    -

    We're working with Food Security Organizations to help them get the most out of Data Commons, and to highlight data in Data Commons that matters most to them.

    -

    Explore Food Security data in your state

    -

    Here are some examples of questions that Data Commons can help to answer for your organization:

    -
    -

    How prevalent are specific health issues among those in need of food assistance?

    -

    - - {% set chart_link='/tools/scatter#%26svx%3DCount_Person_BelowPovertyLevelInThePast12Months%26pcx%3D1%26dx%3DCount_Person%26svy%3DPercent_Person_WithDiabetes%26dy%3DCount_Person%26epd%3DgeoId%2F51%26ept%3DCounty%26ct%3D1' %} - - - - Diabetes vs. Poverty in Virginia - - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. -

    -

    - Data Commons has statistics from the CDC about the prevalence of various health conditions that may be of interest to food security organizations. Some examples are: -

    - These statistics are not broken down by poverty status, but they can be combined with other data about poverty in Data Commons, such as: - -

    -
    +

    Food security organizations are weighing in and sharing the data they need to bolster their reach and impact. + Read on to benefit from their input and don't forget to contribute by sharing the datasets that matter most to your organization.

    +
    +
    +
    Food security at a glance
    +

    Based on your feedback, we've collected a number of statistics in Data Commons that may be helpful for food security organizations.

    +
    + Explore data for your region +
    +
    +
    + +

    Food security organizations are asking these questions

    +
    -

    Are there areas with high rates of poverty where there are not enough food assistance organizations?

    +

    How many food assistance organizations are operating in areas with high rates of poverty?

    {% set chart_link='/tools/scatter#%26svx%3DCount_Person_BelowPovertyLevelInThePast12Months%26pcx%3D1%26dx%3DCount_Person%26svy%3Ddc%2Fvekpd9nlmyf0b%26pcy%3D1%26dy%3DCount_Person%26epd%3DgeoId%2F20%26ept%3DCounty%26ct%3D1' %} @@ -68,26 +52,70 @@

    Are there areas with high rates of poverty where there are not enough food a Community food services vs. Poverty in Kansas - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. + Data that shows where food assistance organizations are located can help us visualize the geographic areas of focus for these organizations. + However, overlaying this data with geographic data about poverty rates can also help us see where there might be areas that are underserved.

    - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. + The map shown here uses data in Data Commons to show the per capita number of Community Food Services establishments in + each county of Kansas, combined with the per capita number of people under the poverty line. + The counties that have a more green shading are areas where there is a higher rate of poverty but a lower density of food service agencies.

    +

    -
    -

    Which areas have a large number of people that have poor access to grocery stores?

    +
    +

    Where are there large numbers of people that don't live close to grocery stores?

    - + {% set chart_link='/tools/map#%26sv%3DHouseholds_No_Car_Low_Access_To_Grocery_Store%26pc%3D1%26denom%3DCount_Person%26pd%3DgeoId%2F37%26ept%3DCounty' %} Households with no car and low access to grocery stores in N. Carolina - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae placerat elit, ut porttitor magna. Nam tincidunt at augue vitae viverra. Curabitur sed elit id lacus facilisis commodo tincidunt sit amet tortor. Maecenas tempus quam lacus, quis fermentum lacus condimentum ut. Morbi leo diam, feugiat vitae porta et, scelerisque at nunc. Donec pharetra eu urna vitae ultricies. Mauris auctor justo vel orci ornare, a venenatis lectus porta. Morbi quis convallis sem. In luctus lobortis purus a tristique. Vestibulum ac volutpat ipsum. Morbi sit amet semper velit. + The distance that individuals live from supermarkets and large grocery stores affects their ability to access healthy foods. TechSoup is + adding data from the USDA's Food Environment Atlas to + Data Commons to make it easier for food security organizations to find statistics such as Access and Proximity to Grocery Stores. +

    +

    + In this example, you can see a map of North Carolina that uses different colors to represent the per capita number of households that have no cars and are more than a mile + away from a supermarket or large grocery store. The darker colors indicate areas where there are the greatest percentage of these households.

    + +
    +

    How common are specific health issues in areas with high rates of poverty?

    +

    + + {% set chart_link='/tools/scatter#%26svx%3DCount_Person_BelowPovertyLevelInThePast12Months%26pcx%3D1%26dx%3DCount_Person%26svy%3DPercent_Person_WithDiabetes%26dy%3DCount_Person%26epd%3DgeoId%2F51%26ept%3DCounty%26ct%3D1' %} + + + + Diabetes vs. Poverty in Virginia + + Food banks can best promote nutrition and health when they understand the needs of the communities to which they distribute food. Knowing about health conditions + that are common in a particular area can help them source and distribute appropriate foods for clients with these conditions. +

    +

    + Data Commons has statistics from the CDC about the + prevalence of various health conditions that may be of interest to food security organizations, such as Diabetes, + Coronary Heart Disease, High Cholesterol, + High Blood Pressure +

    +

    + This data can be combined with geographic data about levels of poverty to + show which health conditions are likely to impact those in need of food assistance. +

    +

    + In this example, we have a map of Virginia that shows the per capita number of people below the poverty level in a 12 month period, and we overlayed it with + data about the per capita number of people with Diabetes. Counties on the map that have a darker blue shading are areas where food pantries and other community + partners are likely to be serving clients with Diabetes. +

    +
    + + + +
    {% endblock %} \ No newline at end of file diff --git a/static/custom_dc/custom/overrides.css b/static/custom_dc/custom/overrides.css index 4697d7f5d5..bccbf7436a 100644 --- a/static/custom_dc/custom/overrides.css +++ b/static/custom_dc/custom/overrides.css @@ -93,4 +93,82 @@ justify-content: center; text-align: center; margin-bottom: 20px; +} + +.cta-button { + display: inline-block; + padding: 10px 20px; + font-size: 16px; + font-weight: bold; + text-align: center; + text-decoration: none; + background-color: #2F729B; + color: white; + border: none; + border-radius: 5px; + cursor: pointer; + margin-top: 1rem; + margin-bottom: 1rem; +} + +.cta-button:hover { + background-color:#004e6c; + color: white; + text-decoration: none; +} + +.cta { + text-align: center; +} + +#homepage .container { + margin-bottom: 3rem; +} + +#homepage h1 { + margin-bottom: 1rem; +} + +#homepage h3 { + margin-top: 1rem; +} + +#homepage #new-update .highlight { + margin-top: 2rem; + margin-bottom: 2rem; + margin-left: 2em; + margin-right: 2em; +} + +h1 { + margin-bottom: 1rem; +} + +h3 { + margin-bottom: 1rem; +} + +.container { + margin-bottom: 3rem; +} + +article { + margin-bottom: 3rem; +} + +.float-md-right { + margin-top: 1rem; + margin-bottom: 1rem; + margin-left: 2em; +} + +.float-md-left { + margin-top: 1rem; + margin-bottom: 1rem; + margin-right: 2em; +} + +.ataglance-section { + background: rgba(0, 0, 0, 0.05); + padding: 1em; } \ No newline at end of file From f5bad7660607bde25d4bef58db1fc429f65afebf Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sun, 7 May 2023 23:42:39 -0700 Subject: [PATCH 06/84] Update callout heading --- server/templates/custom_dc/custom/homepage.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index 8c72bf1959..01dd6edabf 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -50,7 +50,7 @@

    Flexibility and functionality for your organization

    -

    Are you a food security organization?

    +
    Are you a food security organization?

    We are currently working with food security organizations to highlight data in Data Commons that is most relevant to their work. Let us know if you'd like to be involved, or take a look at what we are working on. From 3d59df81a63a10ad729012a7dd7f0dc64e05f69c Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 31 May 2023 21:24:03 -0700 Subject: [PATCH 07/84] Update ts deployment config --- deploy/helm_charts/envs/techsoup.yaml | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index f24ea5e3f7..7080b1ffa8 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: f5bad76 + tag: bd4d138 flaskEnv: custom replicas: 1 @@ -57,8 +57,11 @@ kgStoreConfig: instance: dc-graph tables: - freemeals_2023_04_11_14_09_49 - - mealsites_2023_05_25_20_51_17 + - mealsites_2023_05_31_10_45_31 - usda_grocery_access_2023_05_22_11_28_04 + - schema_test_from_doc_2023_05_31_15_22_55 + - schema_test_from_not_2023_05_31_19_34_02 + - value_changed_test_2023_05_31_06_52_45 svg: blocklistFile: ["dc/g/Uncategorized", "dc/g/SDG", "sdg/g/SDG"] From 6745233e37afb1f6276a589365aae906b5ba22ed Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 6 Jun 2023 15:28:47 -0700 Subject: [PATCH 08/84] Update env --- deploy/helm_charts/envs/techsoup.yaml | 10 ++++------ mixer | 2 +- 2 files changed, 5 insertions(+), 7 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 7080b1ffa8..abfbb8dadc 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: bd4d138 + tag: 3d59df8 flaskEnv: custom replicas: 1 @@ -56,12 +56,10 @@ kgStoreConfig: project: techsoup-data-commons instance: dc-graph tables: - - freemeals_2023_04_11_14_09_49 - - mealsites_2023_05_31_10_45_31 + - mealsites_places_exp_2023_06_02_18_41_11 - usda_grocery_access_2023_05_22_11_28_04 - - schema_test_from_doc_2023_05_31_15_22_55 - - schema_test_from_not_2023_05_31_19_34_02 - - value_changed_test_2023_05_31_06_52_45 + - fea_grocery_access_2023_06_01_18_49_10 + - fea_store_availabili_2023_06_06_09_02_14 svg: blocklistFile: ["dc/g/Uncategorized", "dc/g/SDG", "sdg/g/SDG"] diff --git a/mixer b/mixer index 1c256c213d..64455c8d6c 160000 --- a/mixer +++ b/mixer @@ -1 +1 @@ -Subproject commit 1c256c213d7d3a534bbf747027ee18488942147f +Subproject commit 64455c8d6c30286842b4e74b8b463d1aa1280336 From 547203f5bf27071345572a0d7e0c88f15d09f012 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 7 Jun 2023 12:26:37 -0700 Subject: [PATCH 09/84] updated mixer --- deploy/helm_charts/envs/techsoup.yaml | 5 +++-- mixer | 2 +- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index abfbb8dadc..ef8ca92667 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 3d59df8 + tag: 6745233 flaskEnv: custom replicas: 1 @@ -59,7 +59,8 @@ kgStoreConfig: - mealsites_places_exp_2023_06_02_18_41_11 - usda_grocery_access_2023_05_22_11_28_04 - fea_grocery_access_2023_06_01_18_49_10 - - fea_store_availabili_2023_06_06_09_02_14 + - fea_store_availabili_2023_06_06_12_25_22 + - irs_registered_nonpr_2023_06_07_11_02_15 svg: blocklistFile: ["dc/g/Uncategorized", "dc/g/SDG", "sdg/g/SDG"] diff --git a/mixer b/mixer index 64455c8d6c..e4f5458730 160000 --- a/mixer +++ b/mixer @@ -1 +1 @@ -Subproject commit 64455c8d6c30286842b4e74b8b463d1aa1280336 +Subproject commit e4f54587308d79ee70035a69c67f4594edd728d9 From e6ef5f0383229a0b92dc0c92a34cb78ce88e5ddb Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 11 Jul 2023 16:14:52 -0700 Subject: [PATCH 10/84] add ts served np import --- deploy/helm_charts/envs/techsoup.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index ef8ca92667..f6c0c48475 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -61,6 +61,7 @@ kgStoreConfig: - fea_grocery_access_2023_06_01_18_49_10 - fea_store_availabili_2023_06_06_12_25_22 - irs_registered_nonpr_2023_06_07_11_02_15 + - techsoup_served_nonp_2023_06_07_13_27_15 svg: blocklistFile: ["dc/g/Uncategorized", "dc/g/SDG", "sdg/g/SDG"] From d9d381005f6dc6918826227c09fb86847186aa2d Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Thu, 13 Jul 2023 23:47:11 -0700 Subject: [PATCH 11/84] DC2.1 WIP --- server/config/topic_page/dc2_1/COL.textproto | 350 +++++++++++++++++++ server/lib/util.py | 3 +- 2 files changed, 352 insertions(+), 1 deletion(-) create mode 100644 server/config/topic_page/dc2_1/COL.textproto diff --git a/server/config/topic_page/dc2_1/COL.textproto b/server/config/topic_page/dc2_1/COL.textproto new file mode 100644 index 0000000000..2916cd74af --- /dev/null +++ b/server/config/topic_page/dc2_1/COL.textproto @@ -0,0 +1,350 @@ +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + +metadata { + topic_id: "dc2_1" + topic_name: "DC2.1 Dashboard" + place_dcid: "country/COL" + contained_place_types { + key: "State" + value: "County" + } +} + +categories { + title: "The Economy" + description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + + blocks { + title: "Gross National Income" + + columns { + tiles { + type: HIGHLIGHT + description: "Gross National Income for ${placeName} (${date})" + stat_var_key: "gni_ppp" + } + tiles { + type: DESCRIPTION + description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + } + } + + columns { + tiles { + type: LINE + title: "Gross National Income in ${placeName}" + stat_var_key: "gni_ppp" + } + } + } + + blocks { + title: "Nominal GDP" + columns { + tiles { + type: LINE + title: "Nominal GDP in ${placeName}" + stat_var_key: "nominal_gdp" + } + } + } + + blocks { + title: "Labor Force" + columns { + tiles { + type: LINE + title: "Percent of Working Age Population in the Labor Forcee in ${placeName}" + stat_var_key: "pct_pop_laborforce" + } + } + } + + blocks { + title: "Income Inequality" + columns { + tiles { + type: LINE + title: "Gini Index of Economic Activity in ${placeName}" + stat_var_key: "gini_index_economicactivity" + } + } + } + + stat_var_spec { + key: "gni_ppp" + value { + stat_var: "Amount_EconomicActivity_GrossNationalIncome_PurchasingPowerParity" + name: "Gross National Income Based on Purchasing Power Parity" + } + } + + stat_var_spec { + key: "nominal_gdp" + value { + stat_var: "Amount_EconomicActivity_GrossDomesticProduction_Nominal" + name: "Nominal GDP" + } + } + + stat_var_spec { + key: "pct_pop_laborforce" + value { + stat_var: "Count_Person_15To64Years_InLaborForce_AsFractionOf_Count_Person_15To64Years" + name: "Percent of Working Age Population in the Labor Force" + } + } + + stat_var_spec { + key: "gini_index_economicactivity" + value { + stat_var: "GiniIndex_EconomicActivity" + name: "Gini Index of Economic Activity of a Population" + } + } +} + +categories { + title: "Demographics" + description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + + blocks { + title: "Urban/Rural" + columns { + tiles { + type: LINE + title: "Population Living in Urban vs. Rural Areas in ${placeName}" + stat_var_key: "pop_urban" + stat_var_key: "pop_rural" + } + } + } + + stat_var_spec { + key: "pop_urban" + value { + stat_var: "Count_Person_Urban" + name: "Population Living in Urban Areas" + } + } + stat_var_spec { + key: "pop_rural" + value { + stat_var: "Count_Person_Rural" + name: "Population Living in Rural Areas" + } + } + + blocks { + title: "Poverty" + columns { + tiles { + type: LINE + title: "Employed population below international poverty line in ${placeName}" + stat_var_key: "poverty_rate_15_24" + stat_var_key: "poverty_rate_15_older" + stat_var_key: "poverty_rate_25_older" + } + } + } + + stat_var_spec { + key: "pop_urban" + value { + stat_var: "Count_Person_Urban" + name: "Population Living in Urban Areas" + } + } + stat_var_spec { + key: "pop_rural" + value { + stat_var: "Count_Person_Rural" + name: "Population Living in Rural Areas" + } + } + stat_var_spec { + key: "poverty_rate_15_24" + value { + stat_var: "sdg/SI_POV_EMP1_15-24" + name: "Employed population below international poverty line: 15 to 24 years old" + } + } + stat_var_spec { + key: "poverty_rate_15_older" + value { + stat_var: "sdg/SI_POV_EMP1_15GEQ" + name: "Employed population below international poverty line: 15 years old and over" + } + } + stat_var_spec { + key: "poverty_rate_25_older" + value { + stat_var: "sdg/SI_POV_EMP1_25GEQ" + name: "Employed population below international poverty line: 25 years old and over" + } + } +} + + +categories { + title: "Crime" + description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + + blocks { + title: "Murder and Non Negligent Manslaughter" + columns { + tiles { + type: LINE + title: "Murder and Non Negligent Manslaughter Cases Per Capita in ${placeName}" + stat_var_key: "murder_pc" + stat_var_key: "murder_pc_male" + stat_var_key: "murder_pc_female" + } + } + } + + stat_var_spec { + key: "murder_pc" + value { + stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_AsFractionOf_Count_Person" + name: "Murder and Non Negligent Manslaughter Cases Per Capita" + } + } + stat_var_spec { + key: "murder_pc_male" + value { + stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_Male_AsFractionOf_Count_Person_Male" + name: "Murder and Non Negligent Manslaughter Cases Per Capita for the Male Population" + } + } + stat_var_spec { + key: "murder_pc_female" + value { + stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_Female_AsFractionOf_Count_Person_Female" + name: "Murder and Non Negligent Manslaughter Cases Per Capita for the Female Population" + } + } +} + +categories { + title: "Health" + description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + + blocks { + title: "Infant Mortality" + columns { + tiles { + type: LINE + title: "Infant Mortality Rate in ${placeName}" + stat_var_key: "infant_mortality" + } + } + } + + stat_var_spec { + key: "infant_mortality" + value { + stat_var: "Count_Death_0Years_AsFractionOf_Count_BirthEvent_LiveBirth" + name: "Infant Mortality Rate" + } + } + +} + + +categories { + title: "Education" + description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + + blocks { + title: "Completion rate: Upper secondary" + columns { + tiles { + type: LINE + title: "Completion rate: Upper secondary in ${placeName}" + stat_var_key: "upper_secondary_pc" + } + } + } + + blocks { + title: "Bachelors Degree or Higher" + columns { + tiles { + type: LINE + title: "Bachelors Degree or Higher in ${placeName}" + stat_var_key: "bachelors_pc" + stat_var_key: "bachelors_pc_male" + stat_var_key: "bachelors_pc_female" + } + } + } + + stat_var_spec { + key: "bachelors_pc" + value { + stat_var: "Count_Person_25OrMoreYears_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears" + name: "Population: Bachelors Degree or Higher (As Fraction of Count Person 25 or More Years)" + } + } + stat_var_spec { + key: "bachelors_pc_male" + value { + stat_var: "Count_Person_25OrMoreYears_Female_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Female" + name: "Population: Bachelors Degree or Higher, Male (As Fraction of Count Person 25 or More Years Male)" + } + } + stat_var_spec { + key: "bachelors_pc_female" + value { + stat_var: "Count_Person_25OrMoreYears_Male_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Male" + name: "Population: Bachelors Degree or Higher, Female (As Fraction of Count Person 25 or More Years Female)" + } + } + stat_var_spec { + key: "upper_secondary_pc" + value { + stat_var: "sdg/SE_TOT_CPLR_UPPSEC" + name: "Completion rate: Upper secondary" + } + } +} + +categories { + title: "Access to Basic Services" + description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + + blocks { + title: "Proportion of population using basic drinking water services" + columns { + tiles { + type: LINE + title: "Proportion of population using basic drinking water services in ${placeName}" + stat_var_key: "basic_water_services_pc" + } + } + } + + stat_var_spec { + key: "basic_water_services_pc" + value { + stat_var: "sdg/SP_ACS_BSRVH2O" + name: "Proportion of population using basic drinking water services" + } + } + +} diff --git a/server/lib/util.py b/server/lib/util.py index 802b634ce6..9cdc168553 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -50,7 +50,8 @@ 'poverty': ['USA', 'India'], 'dev': ['CA'], 'sdg': ['sdg'], - 'foodsecurity' : ['USA', 'CA'] + 'foodsecurity' : ['USA', 'CA'], + 'dc2_1' : ['COL'] } # Levels range from 0 (fastest, least compression), to 9 (slowest, most From 5576e55d0e2a3adc13c98883e96e3c66cce206b1 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 17 Jul 2023 00:46:08 -0700 Subject: [PATCH 12/84] DC2.1 topic demo wip --- deploy/helm_charts/envs/techsoup.yaml | 2 +- server/config/topic_page/dc2_1/COL.textproto | 363 +++++++++---------- 2 files changed, 171 insertions(+), 194 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index f6c0c48475..cdfc9777db 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 6745233 + tag: d9d3810 flaskEnv: custom replicas: 1 diff --git a/server/config/topic_page/dc2_1/COL.textproto b/server/config/topic_page/dc2_1/COL.textproto index 2916cd74af..9f45adccc0 100644 --- a/server/config/topic_page/dc2_1/COL.textproto +++ b/server/config/topic_page/dc2_1/COL.textproto @@ -16,66 +16,109 @@ metadata { topic_id: "dc2_1" - topic_name: "DC2.1 Dashboard" + topic_name: "How economic development drives welfare, prosperity, and peace" place_dcid: "country/COL" contained_place_types { - key: "State" - value: "County" + key: "Country" + value: "AdministrativeArea1" } } categories { - title: "The Economy" - description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + title: "Introduction" + description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its peoples’ needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence – particularly homicides? And finally, how do civil society organizations compliment economic development and state action? For this, there is no better country to review than Colombia." + blocks { - title: "Gross National Income" - - columns { + columns { + tiles { type: HIGHLIGHT - description: "Gross National Income for ${placeName} (${date})" - stat_var_key: "gni_ppp" + description: "People live in ${placeName} (${date})" + stat_var_key: "count_person" } + } + columns { + tiles { - type: DESCRIPTION - description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + title: "Population of ${placeName} by Department (${date})" + type: MAP + stat_var_key: "count_person" } + + } + } + + stat_var_spec { + key: "count_person" + value { + stat_var: "Count_Person" + name: "Population" } + } +} + +categories { + title: "Economic development for better lives" + blocks { + title: "GDP Growth" + description: "Over the last 50 years, LATAM has steadily strengthened its GDP, with the exception of the period of the COVID 19 pandemic. What does the data show? There is a correlation in the economic performance of LATAM countries, all suffered significant declines during this period, however, their recovery was accelerated and consistent, and although the region had been experiencing economic growth similar to the rest of the world for the last 50 years, its post-pandemic rates began to resemble those of Europe or the United States." columns { tiles { type: LINE - title: "Gross National Income in ${placeName}" - stat_var_key: "gni_ppp" + title: "GDP Growth in ${placeName}" + stat_var_key: "gdp_growth" } } - } + columns { + tiles { + type: BAR + title: "GDP Growth (${date})" + stat_var_key: "gdp_growth" + comparison_places: "self" + comparison_places: "country/USA" + comparison_places: "country/GBR" + comparison_places: "country/FRA" + comparison_places: "country/DEU" + comparison_places: "country/ITA" + } + } + + } blocks { - title: "Nominal GDP" columns { tiles { - type: LINE - title: "Nominal GDP in ${placeName}" - stat_var_key: "nominal_gdp" + type: DESCRIPTION + description: "In the post-pandemic years, Colombia has undoubtedly contributed to the accelerated growth of the region's GDP, partly due to the different measures taken by the national government to overcome the humanitarian crisis, but how does the country's economic growth correlate with social variables?" } } } blocks { - title: "Labor Force" + title: "Leading social change through economic growth" + columns { + tiles { + type: HIGHLIGHT + description: "GDP for ${placeName} (${date})" + stat_var_key: "nominal_gdp" + } + tiles { + type: DESCRIPTION + description: "Since 2008 economic growth has led to a significant reduction of people under the poverty line, mainly because this growth generates more employment and business opportunities therefore a higher income. As the GDP increases the labor force increases, and the newly created jobs allow governments to collect more taxes to invest in social programs such as free secondary education for vulnerable populations, which in most cases enables people to access better salaries that improves their quality of life." + } + } columns { tiles { type: LINE - title: "Percent of Working Age Population in the Labor Forcee in ${placeName}" - stat_var_key: "pct_pop_laborforce" + title: "GDP in ${placeName}" + stat_var_key: "nominal_gdp" } } } blocks { - title: "Income Inequality" columns { tiles { type: LINE @@ -83,99 +126,77 @@ categories { stat_var_key: "gini_index_economicactivity" } } - } - - stat_var_spec { - key: "gni_ppp" - value { - stat_var: "Amount_EconomicActivity_GrossNationalIncome_PurchasingPowerParity" - name: "Gross National Income Based on Purchasing Power Parity" - } - } - - stat_var_spec { - key: "nominal_gdp" - value { - stat_var: "Amount_EconomicActivity_GrossDomesticProduction_Nominal" - name: "Nominal GDP" + columns { + tiles { + type: LINE + title: "Employed population below international poverty line in ${placeName}" + stat_var_key: "poverty_rate_15_24" + stat_var_key: "poverty_rate_15_older" + stat_var_key: "poverty_rate_25_older" + } } } - - stat_var_spec { - key: "pct_pop_laborforce" - value { - stat_var: "Count_Person_15To64Years_InLaborForce_AsFractionOf_Count_Person_15To64Years" - name: "Percent of Working Age Population in the Labor Force" + blocks { + columns { + tiles { + type: LINE + title: "Percent of Working Age Population in the Labor Force in ${placeName}" + stat_var_key: "pct_pop_laborforce" + } } - } - - stat_var_spec { - key: "gini_index_economicactivity" - value { - stat_var: "GiniIndex_EconomicActivity" - name: "Gini Index of Economic Activity of a Population" + columns { + tiles { + type: LINE + title: "Upper Secondary completion rate in ${placeName}" + stat_var_key: "upper_secondary_pc" + } } } -} - -categories { - title: "Demographics" - description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." - blocks { - title: "Urban/Rural" columns { tiles { type: LINE - title: "Population Living in Urban vs. Rural Areas in ${placeName}" - stat_var_key: "pop_urban" - stat_var_key: "pop_rural" + title: "Infant Mortality Rate in ${placeName}" + stat_var_key: "infant_mortality" } } - } - - stat_var_spec { - key: "pop_urban" - value { - stat_var: "Count_Person_Urban" - name: "Population Living in Urban Areas" + columns { + tiles { + type: LINE + title: "Proportion of population using basic drinking water services in ${placeName}" + stat_var_key: "basic_water_services_pc" + } } } - stat_var_spec { - key: "pop_rural" - value { - stat_var: "Count_Person_Rural" - name: "Population Living in Rural Areas" - } - } - blocks { - title: "Poverty" columns { tiles { - type: LINE - title: "Employed population below international poverty line in ${placeName}" - stat_var_key: "poverty_rate_15_24" - stat_var_key: "poverty_rate_15_older" - stat_var_key: "poverty_rate_25_older" + type: DESCRIPTION + description: "The data shows that the better the economy, the better the quality of life in the region and the country. Unfortunately, not all the correlations are on the good side, LATAM and specially Colombia, concentrates a large part of the world's drug production, which leads it to be a center of operations of transnational criminal organizations, resulting in constant attacks against the civil population." } } } - stat_var_spec { - key: "pop_urban" + key: "gdp_growth" + value { + stat_var: "GrowthRate_Amount_EconomicActivity_GrossDomesticProduction" + name: "Growth Rate of GDP" + } + } + stat_var_spec { + key: "nominal_gdp" value { - stat_var: "Count_Person_Urban" - name: "Population Living in Urban Areas" + stat_var: "Amount_EconomicActivity_GrossDomesticProduction_Nominal" + name: "Nominal GDP" } } stat_var_spec { - key: "pop_rural" + key: "gini_index_economicactivity" value { - stat_var: "Count_Person_Rural" - name: "Population Living in Rural Areas" + stat_var: "GiniIndex_EconomicActivity" + name: "Gini Index of Economic Activity of a Population" } - } + } stat_var_spec { key: "poverty_rate_15_24" value { @@ -197,154 +218,110 @@ categories { name: "Employed population below international poverty line: 25 years old and over" } } -} - - -categories { - title: "Crime" - description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." - - blocks { - title: "Murder and Non Negligent Manslaughter" - columns { - tiles { - type: LINE - title: "Murder and Non Negligent Manslaughter Cases Per Capita in ${placeName}" - stat_var_key: "murder_pc" - stat_var_key: "murder_pc_male" - stat_var_key: "murder_pc_female" - } + stat_var_spec { + key: "pct_pop_laborforce" + value { + stat_var: "Count_Person_15To64Years_InLaborForce_AsFractionOf_Count_Person_15To64Years" + name: "Percent of Working Age Population in the Labor Force" } } - stat_var_spec { - key: "murder_pc" + key: "upper_secondary_pc" value { - stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_AsFractionOf_Count_Person" - name: "Murder and Non Negligent Manslaughter Cases Per Capita" + stat_var: "sdg/SE_TOT_CPLR_UPPSEC" + name: "Completion rate: Upper secondary" } } stat_var_spec { - key: "murder_pc_male" + key: "infant_mortality" value { - stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_Male_AsFractionOf_Count_Person_Male" - name: "Murder and Non Negligent Manslaughter Cases Per Capita for the Male Population" + stat_var: "Count_Death_0Years_AsFractionOf_Count_BirthEvent_LiveBirth" + name: "Infant Mortality Rate" } } stat_var_spec { - key: "murder_pc_female" + key: "basic_water_services_pc" value { - stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_Female_AsFractionOf_Count_Person_Female" - name: "Murder and Non Negligent Manslaughter Cases Per Capita for the Female Population" + stat_var: "sdg/SP_ACS_BSRVH2O" + name: "Proportion of population using basic drinking water services" } } + } categories { - title: "Health" - description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." + title: "Growing economy for better security" blocks { - title: "Infant Mortality" + title: "Violence in LATAM" + description: "The reality that violence has created in LATAM is overwhelming. During 2022, countries such as Ecuador, Mexico and Colombia reached similar homicide rates, mainly due to the presence of armed groups seeking to expand their illegal businesses through violence, spreading fear among the population. " columns { tiles { - type: LINE - title: "Infant Mortality Rate in ${placeName}" - stat_var_key: "infant_mortality" + type: BAR + title: "Murder and Non Negligent Manslaughter Cases Per Capita (${date})" + stat_var_key: "murder_pc" + comparison_places: "self" + #comparison_places: "country/VEN" + #comparison_places: "country/HND" + comparison_places: "country/ECU" + comparison_places: "country/MEX" + #comparison_places: "country/BLZ" + #comparison_places: "country/BRA" + #comparison_places: "country/GTM" + #comparison_places: "country/GUY" + #comparison_places: "country/CRI" + #comparison_places: "country/PAN" + #comparison_places: "country/URY" + #comparison_places: "country/SLV" + #comparison_places: "country/SUR" + #comparison_places: "country/PRY" + #comparison_places: "country/NIC" + #comparison_places: "country/CHL" + #comparison_places: "country/PER" + #comparison_places: "country/ARG" + #comparison_places: "country/BOL" } + tiles { + type: DESCRIPTION + description: "However, when the economy grows, the lives of the inhabitants improves by increasing access to basic services such as health, education, work or security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert. " + } } } - stat_var_spec { - key: "infant_mortality" - value { - stat_var: "Count_Death_0Years_AsFractionOf_Count_BirthEvent_LiveBirth" - name: "Infant Mortality Rate" - } - } - -} - - -categories { - title: "Education" - description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." - blocks { - title: "Completion rate: Upper secondary" + title: "GDP Growth and Violence" + description: "Since the beginning of the Colombian century, the number of people with disadvantage has decreased. As mentioned by Carranza et al (2011), a possible explanation for this reduction is that economic activity influenced the variation in homicidal violence as a systematic causal effect" columns { tiles { type: LINE - title: "Completion rate: Upper secondary in ${placeName}" - stat_var_key: "upper_secondary_pc" + title: "GDP in ${placeName}" + stat_var_key: "nominal_gdp" } } - } - - blocks { - title: "Bachelors Degree or Higher" columns { tiles { type: LINE - title: "Bachelors Degree or Higher in ${placeName}" - stat_var_key: "bachelors_pc" - stat_var_key: "bachelors_pc_male" - stat_var_key: "bachelors_pc_female" + title: "Murder and Non Negligent Manslaughter Cases Per Capita in ${placeName}" + stat_var_key: "murder_pc" } } } + + stat_var_spec { - key: "bachelors_pc" - value { - stat_var: "Count_Person_25OrMoreYears_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears" - name: "Population: Bachelors Degree or Higher (As Fraction of Count Person 25 or More Years)" - } - } - stat_var_spec { - key: "bachelors_pc_male" - value { - stat_var: "Count_Person_25OrMoreYears_Female_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Female" - name: "Population: Bachelors Degree or Higher, Male (As Fraction of Count Person 25 or More Years Male)" - } - } - stat_var_spec { - key: "bachelors_pc_female" + key: "murder_pc" value { - stat_var: "Count_Person_25OrMoreYears_Male_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Male" - name: "Population: Bachelors Degree or Higher, Female (As Fraction of Count Person 25 or More Years Female)" + stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_AsFractionOf_Count_Person" + name: "Murder and Non Negligent Manslaughter Cases Per Capita" } } stat_var_spec { - key: "upper_secondary_pc" + key: "nominal_gdp" value { - stat_var: "sdg/SE_TOT_CPLR_UPPSEC" - name: "Completion rate: Upper secondary" + stat_var: "Amount_EconomicActivity_GrossDomesticProduction_Nominal" + name: "Nominal GDP" } } } -categories { - title: "Access to Basic Services" - description: "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce ultricies non sem interdum convallis. Ut sed maximus lacus, sit amet dapibus augue. Donec in elit in nunc vulputate volutpat. Donec vestibulum ullamcorper tristique. Cras quis laoreet ante. Duis sodales tellus ut leo facilisis sollicitudin. Cras viverra pulvinar lobortis." - - blocks { - title: "Proportion of population using basic drinking water services" - columns { - tiles { - type: LINE - title: "Proportion of population using basic drinking water services in ${placeName}" - stat_var_key: "basic_water_services_pc" - } - } - } - - stat_var_spec { - key: "basic_water_services_pc" - value { - stat_var: "sdg/SP_ACS_BSRVH2O" - name: "Proportion of population using basic drinking water services" - } - } - -} From d41f32d937e1215e65c7e0608bb4c98699023c0e Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 2 Aug 2023 12:50:50 -0700 Subject: [PATCH 13/84] Draft DC2 topic pages --- deploy/helm_charts/envs/techsoup.yaml | 2 +- server/config/topic_page/dc2_1/COL.textproto | 253 ++++++++++++------- server/config/topic_page/dc2_2/NGA.textproto | 228 +++++++++++++++++ server/lib/util.py | 3 +- 4 files changed, 386 insertions(+), 100 deletions(-) create mode 100644 server/config/topic_page/dc2_2/NGA.textproto diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index cdfc9777db..361846468e 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: d9d3810 + tag: 5576e55 flaskEnv: custom replicas: 1 diff --git a/server/config/topic_page/dc2_1/COL.textproto b/server/config/topic_page/dc2_1/COL.textproto index 9f45adccc0..a7f7b4bb28 100644 --- a/server/config/topic_page/dc2_1/COL.textproto +++ b/server/config/topic_page/dc2_1/COL.textproto @@ -16,7 +16,7 @@ metadata { topic_id: "dc2_1" - topic_name: "How economic development drives welfare, prosperity, and peace" + topic_name: "Economic & Social Growth" place_dcid: "country/COL" contained_place_types { key: "Country" @@ -25,95 +25,87 @@ metadata { } categories { - title: "Introduction" - description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its peoples’ needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence – particularly homicides? And finally, how do civil society organizations compliment economic development and state action? For this, there is no better country to review than Colombia." + title: "Economic Development For Better Lives" + blocks { + title: "Introduction" + description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its peoples’ needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence – particularly homicides? And finally, how do civil society organizations compliment economic development and state action? For this, there is no better country to review than Colombia." columns { - tiles { type: HIGHLIGHT description: "People live in ${placeName} (${date})" stat_var_key: "count_person" } } - columns { - + columns { tiles { title: "Population of ${placeName} by Department (${date})" type: MAP stat_var_key: "count_person" } - - } - } - - stat_var_spec { - key: "count_person" - value { - stat_var: "Count_Person" - name: "Population" } } -} - -categories { - title: "Economic development for better lives" blocks { - title: "GDP Growth" - description: "Over the last 50 years, LATAM has steadily strengthened its GDP, with the exception of the period of the COVID 19 pandemic. What does the data show? There is a correlation in the economic performance of LATAM countries, all suffered significant declines during this period, however, their recovery was accelerated and consistent, and although the region had been experiencing economic growth similar to the rest of the world for the last 50 years, its post-pandemic rates began to resemble those of Europe or the United States." + title: "From LATAM to Colombia: the correlations of economic development" + description: "Over the last 50 years, Latin American (LATAM) countries such as Colombia, Ecuador, Perú and Venezuela have steadily strengthened their GDP, except during the COVID 19 pandemic. There appears to be a regional correlation in economic performance of LATAM countries – when one country prospers, other LATAM countries prosper as a result. Similarly, these countries suffered significant declines during the pandemic. After the pandemic, recovery was accelerated dramatically." columns { tiles { type: LINE title: "GDP Growth in ${placeName}" stat_var_key: "gdp_growth" } + tiles { + type: LINE + title: "GDP Growth in ${placeName}" + stat_var_key: "gdp_growth" + place_dcid_override: "country/ECU" + } } - columns { tiles { - type: BAR - title: "GDP Growth (${date})" + type: LINE + title: "GDP Growth in ${placeName}" stat_var_key: "gdp_growth" - comparison_places: "self" - comparison_places: "country/USA" - comparison_places: "country/GBR" - comparison_places: "country/FRA" - comparison_places: "country/DEU" - comparison_places: "country/ITA" - } + place_dcid_override: "country/PER" + } + tiles { + type: LINE + title: "GDP Growth in ${placeName}" + stat_var_key: "gdp_growth" + place_dcid_override: "country/VEN" + } } - } + blocks { columns { tiles { type: DESCRIPTION - description: "In the post-pandemic years, Colombia has undoubtedly contributed to the accelerated growth of the region's GDP, partly due to the different measures taken by the national government to overcome the humanitarian crisis, but how does the country's economic growth correlate with social variables?" + description: "Colombia has undoubtedly contributed to the accelerated growth of the region's GDP in the post-pandemic years, partly due to the different measures taken by the national government to overcome the humanitarian crisis, but how does the country's economic growth correlate with social variables?" } } } blocks { title: "Leading social change through economic growth" + description: "Since 2008 economic growth has led to a significant reduction of people under the poverty line, mainly because this growth generates more employment and business opportunities therefore a higher income." columns { tiles { - type: HIGHLIGHT - description: "GDP for ${placeName} (${date})" - stat_var_key: "nominal_gdp" - } - tiles { - type: DESCRIPTION - description: "Since 2008 economic growth has led to a significant reduction of people under the poverty line, mainly because this growth generates more employment and business opportunities therefore a higher income. As the GDP increases the labor force increases, and the newly created jobs allow governments to collect more taxes to invest in social programs such as free secondary education for vulnerable populations, which in most cases enables people to access better salaries that improves their quality of life." + type: LINE + title: "GDP of ${placeName}" + stat_var_key: "gdp" } } columns { tiles { type: LINE - title: "GDP in ${placeName}" - stat_var_key: "nominal_gdp" + title: "Employed population below international poverty line in ${placeName}" + stat_var_key: "empl_poverty_rate_15_24" + stat_var_key: "empl_poverty_rate_15_older" + stat_var_key: "empl_poverty_rate_25_older" } } } @@ -121,21 +113,12 @@ categories { blocks { columns { tiles { - type: LINE - title: "Gini Index of Economic Activity in ${placeName}" - stat_var_key: "gini_index_economicactivity" - } - } - columns { - tiles { - type: LINE - title: "Employed population below international poverty line in ${placeName}" - stat_var_key: "poverty_rate_15_24" - stat_var_key: "poverty_rate_15_older" - stat_var_key: "poverty_rate_25_older" + type: DESCRIPTION + description: "As GDP increases, poverty decreases. Newly created jobs allow governments to collect more taxes to invest in social programs such as free secondary education for vulnerable populations, which in most cases enables people to access better salaries that improves their quality of life." } } } + blocks { columns { tiles { @@ -143,6 +126,10 @@ categories { title: "Percent of Working Age Population in the Labor Force in ${placeName}" stat_var_key: "pct_pop_laborforce" } + tiles { + type: DESCRIPTION + description: "According to macroeconomics theories, as more production is generated in a country, the labor force increases. This is a result of production driving more consumption, which in turn drives demand and employment." + } } columns { tiles { @@ -150,8 +137,22 @@ categories { title: "Upper Secondary completion rate in ${placeName}" stat_var_key: "upper_secondary_pc" } + tiles { + type: DESCRIPTION + description: "When GDP increases, we see an increase in the number of higher education students not dropping out of college and instead continuing to graduation." + } } } + + blocks { + columns { + tiles { + type: DESCRIPTION + description: "Economic growth has also contributed to a decrease in the infant mortality rate, the main indicator for measuring the quality of health systems; with higher incomes, families have access to more and better food, medicines and sanitary implements in their homes. It has also allowed the universalization of public services such as drinking water, which provides better guarantees for life, especially for the children." + } + } + } + blocks { columns { tiles { @@ -168,6 +169,7 @@ categories { } } } + blocks { columns { tiles { @@ -176,6 +178,15 @@ categories { } } } + + stat_var_spec { + key: "count_person" + value { + stat_var: "Count_Person" + name: "Population" + } + } + stat_var_spec { key: "gdp_growth" value { @@ -183,41 +194,37 @@ categories { name: "Growth Rate of GDP" } } + stat_var_spec { - key: "nominal_gdp" + key: "gdp" value { stat_var: "Amount_EconomicActivity_GrossDomesticProduction_Nominal" name: "Nominal GDP" } } + stat_var_spec { - key: "gini_index_economicactivity" - value { - stat_var: "GiniIndex_EconomicActivity" - name: "Gini Index of Economic Activity of a Population" - } - } - stat_var_spec { - key: "poverty_rate_15_24" + key: "empl_poverty_rate_15_24" value { stat_var: "sdg/SI_POV_EMP1_15-24" name: "Employed population below international poverty line: 15 to 24 years old" } } stat_var_spec { - key: "poverty_rate_15_older" + key: "empl_poverty_rate_15_older" value { stat_var: "sdg/SI_POV_EMP1_15GEQ" name: "Employed population below international poverty line: 15 years old and over" } } stat_var_spec { - key: "poverty_rate_25_older" + key: "empl_poverty_rate_25_older" value { stat_var: "sdg/SI_POV_EMP1_25GEQ" name: "Employed population below international poverty line: 25 years old and over" } } + stat_var_spec { key: "pct_pop_laborforce" value { @@ -249,75 +256,65 @@ categories { } + categories { - title: "Growing economy for better security" + title: "A Growing Economy For Better Security" blocks { - title: "Violence in LATAM" - description: "The reality that violence has created in LATAM is overwhelming. During 2022, countries such as Ecuador, Mexico and Colombia reached similar homicide rates, mainly due to the presence of armed groups seeking to expand their illegal businesses through violence, spreading fear among the population. " + title: "Introduction" + description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its peoples’ needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence – particularly homicides? And finally, how do civil society organizations compliment economic development and state action? For this, there is no better country to review than Colombia." columns { tiles { type: BAR - title: "Murder and Non Negligent Manslaughter Cases Per Capita (${date})" - stat_var_key: "murder_pc" + title: "Homicides in LATAM" + stat_var_key: "homicides_pc" comparison_places: "self" - #comparison_places: "country/VEN" - #comparison_places: "country/HND" + comparison_places: "country/VEN" comparison_places: "country/ECU" - comparison_places: "country/MEX" - #comparison_places: "country/BLZ" - #comparison_places: "country/BRA" - #comparison_places: "country/GTM" - #comparison_places: "country/GUY" - #comparison_places: "country/CRI" - #comparison_places: "country/PAN" - #comparison_places: "country/URY" - #comparison_places: "country/SLV" - #comparison_places: "country/SUR" - #comparison_places: "country/PRY" - #comparison_places: "country/NIC" - #comparison_places: "country/CHL" - #comparison_places: "country/PER" - #comparison_places: "country/ARG" - #comparison_places: "country/BOL" + comparison_places: "country/PER" } - tiles { - type: DESCRIPTION - description: "However, when the economy grows, the lives of the inhabitants improves by increasing access to basic services such as health, education, work or security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert. " - } } + } blocks { title: "GDP Growth and Violence" - description: "Since the beginning of the Colombian century, the number of people with disadvantage has decreased. As mentioned by Carranza et al (2011), a possible explanation for this reduction is that economic activity influenced the variation in homicidal violence as a systematic causal effect" + description: "When the economy grows, the lives of the inhabitants improves by increasing access to basic services such as health, education, work and security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert." + columns { tiles { type: LINE title: "GDP in ${placeName}" - stat_var_key: "nominal_gdp" + stat_var_key: "gdp" } } columns { tiles { type: LINE title: "Murder and Non Negligent Manslaughter Cases Per Capita in ${placeName}" - stat_var_key: "murder_pc" + stat_var_key: "homicides_pc" } } } - + blocks { + columns { + tiles { + type: DESCRIPTION + description: "That being said, reducing violence and improving Colombian’s daily lives is not just an economic development matter, governments need allies to establish a prosperous and peaceful nation. The active participation of civil society and social organizations are vital for building bridges between government efforts and the needs of the population. In Colombia’s case there are many organizations working to promote development in the country and therefore improving the quality of life for all the inhabitants." + } + } + } stat_var_spec { - key: "murder_pc" + key: "homicides_pc" value { stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_AsFractionOf_Count_Person" name: "Murder and Non Negligent Manslaughter Cases Per Capita" } } stat_var_spec { - key: "nominal_gdp" + key: "gdp" value { stat_var: "Amount_EconomicActivity_GrossDomesticProduction_Nominal" name: "Nominal GDP" @@ -325,3 +322,63 @@ categories { } } +categories { + title: "Promoting development through civil society" + + blocks { + description: "Many efforts are being made by civil society to continue actions that promote the growth of the economy in favor of improving the living conditions of its inhabitants." + columns { + tiles { + type: DESCRIPTION + description: "Several social organizations in Colombia are working for the economic and social development of the country." + } + tiles { + type: DESCRIPTION + description: "WWB Colombia Foundation (https://www.fundacionwwbcolombia.org): creates programs to strengthen the personal and business skills of vulnerable women, in order to reduce the unemployment rate of this population and boost the impact of social investment." + } + tiles { + type: DESCRIPTION + description: "Mano Cambiada (https://www.manocambiada.org): seeks to prevent the recruitment of young people in contexts of violence, transforming them into social change agents through the creation of community based tourism programs and environmental and cultural education." + } + tiles { + type: DESCRIPTION + description: "Recon (https://www.reconcolombia.org): seeks to strengthen social enterprises that impact the sustainable economic and social development of vulnerable communities" + } + tiles { + type: DESCRIPTION + description: "Fundación Capital (https://www.fundacioncapital.org): seeks to improve the financial and economic life of socially vulnerable populations." + } + } + columns { + tiles { + type: DESCRIPTION + description: "In the search of expanding impacts and creating social awareness, these other organizations have linked a third ally to their work: open data. " + } + tiles { + type: DESCRIPTION + description: "Propacifico (https://propacifico.org) seeks to make visible through the use of open data the level of compliance with the SDGs in the country's municipalities through a monitoring platform, in order to promote the strengthening of actions in the lowest indicators." + } + tiles { + type: DESCRIPTION + description: "Alexander Von Humboldt Institute (http://humboldt.org.co) seeks to promote through open data collaboration in scientific and academic creation." + } + tiles { + type: DESCRIPTION + description: "Karisma Foundation (https://web.karisma.org.co) promotes the use of open data to guarantee human rights on the Internet, social inclusion and the democratization of knowledge." + } + } + } + + blocks { + columns { + tiles { + type: DESCRIPTION + description: "Although the impact of the work of social organizations in the country is undeniable, it is important to establish open data as a constant tool in their work. Using open data is essential for promoting economic development in countries as it enhances transparency, enables evidence-based decision making, drives economic growth and innovation, empowers communities, and facilitates collaboration. It is a powerful tool that can contribute to a more inclusive and sustainable Colombia. " + } + } + } + + + +} + diff --git a/server/config/topic_page/dc2_2/NGA.textproto b/server/config/topic_page/dc2_2/NGA.textproto new file mode 100644 index 0000000000..35d35480f1 --- /dev/null +++ b/server/config/topic_page/dc2_2/NGA.textproto @@ -0,0 +1,228 @@ +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + +metadata { + topic_id: "dc2_2" + topic_name: "Health Factors" + place_dcid: "country/NGA" + contained_place_types { + key: "Country" + value: "AdministrativeArea1" + } +} + + +categories { + title: "Life Expectancy" + description: "The life expectancy in Nigeria is at an all time high of 52.9 years as at 2022 , the highest since 1960 when the country gained independence. At independence life expectancy was 37.4 years. Into the millennium (200) it was 47.2 years. What is driving this increment? Could it be as a result of a healthier lifestyle?" + + blocks { + columns { + tiles { + type: LINE + title: "Life Expectancy in ${placeName}" + stat_var_key: "lifeExpectancy" + } + } + columns { + tiles { + type: LINE + title: "Mortality Rates for Common Conditions in ${placeName}" + stat_var_key: "mortalityRates" + } + } + } + + stat_var_spec { + key: "lifeExpectancy" + value { + stat_var: "LifeExpectancy_Person" + name: "Life Expectancy" + } + } + + stat_var_spec { + key: "mortalityRates" + value { + stat_var: "sdg/SH_DTH_NCOM_30-70" + name: "Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease: 30 to 70 years old" + } + } +} + +categories { + title: "COVID Impact" + description: "Covid deaths recorded in Nigeria stood at 3,155 people from 267,000 confirmed cases in 2023. For countries with high populations such as Nigeria, confirmed cases remained high including deaths. For example the United States has 103 million confirmed cases and 1,135,343 deaths. Could the numbers be attributed to the growing population which is known to increase the risk of pandemics?" + + blocks { + columns { + tiles { + type: LINE + title: "Deaths in ${placeName} due to COVID-19" + stat_var_key: "covidDeaths" + } + } + } + + stat_var_spec { + key: "covidDeaths" + value { + stat_var: "CumulativeCount_MedicalConditionIncident_COVID_19_PatientDeceased" + name: "Cumulative Count of COVID-19 Deaths" + } + } +} + +categories { + title: "Fertility and Education" + description: "At independence (1960) fertility rate in NIgeria was 6.36, into the millennium there was a decrease, settling at 6.12 in 2000 and continued to witness a decline. A fertility rate of 5.32 in 2020 still puts Nigeria on the path of an increasing population growth (Globally the average fertility rate is 2.3.) Could the decline be as a result of education?" + + blocks { + columns { + tiles { + type: LINE + title: "Fertility Rate in ${placeName}" + stat_var_key: "fertilityRate" + } + } + + columns { + tiles { + type: LINE + title: "Lower Secondary Education in ${placeName}" + stat_var_key: "completionRate" + } + } + } + + stat_var_spec { + key: "fertilityRate" + value { + stat_var: "FertilityRate_Person_Female" + name: "Fertility Rate" + } + } + + stat_var_spec { + key: "completionRate" + value { + stat_var: "sdg/SE_TOT_CPLR_LOWSEC" + name: "Completion rate: Lower secondary" + } + } +} + +categories { + title: "Population Growth" + description: "National population growth rate peaked in 1980 at 3.06, but after a period of fast population growth during this time, rates have continued to decline up until 1985 when there was a steep rise (2.73) and has fallen further to 2.41 in 2021." + + blocks { + columns { + tiles { + type: LINE + title: "Population Growth in ${placeName}" + stat_var_key: "population" + } + } + + columns { + tiles { + type: LINE + title: "Population Growth Rate in ${placeName}" + stat_var_key: "populationGrowthRate" + } + } + } + + stat_var_spec { + key: "population" + value { + stat_var: "Count_Person" + name: "Total Population" + } + } + + stat_var_spec { + key: "populationGrowthRate" + value { + stat_var: "GrowthRate_Count_Person" + name: "Rate of Population Growth" + } + } +} + +categories { + title: "GDP and Consumption" + description: "At a Gross Domestic Product (GDP) growth rate of 3.65 in 2021 and a population growth of 2.41 the same year, More recent data indicates that population is now rising faster than GDP. The country is in an uncomfortable pattern of a population that may soon rise faster than its economy since population growth leads to increase in human activity, consumption and scramble for resources. How does this affect consumption?" + + blocks { + columns { + tiles { + type: LINE + title: "GDP Growth Rate in ${placeName}" + stat_var_key: "gdpGrowthRate" + } + } + + columns { + tiles { + type: LINE + title: "Domestic Material Consumption in ${placeName}" + stat_var_key: "domesticMaterialConsumption" + } + } + } + + stat_var_spec { + key: "gdpGrowthRate" + value { + stat_var: "GrowthRate_Amount_EconomicActivity_GrossDomesticProduction" + name: "Growth Rate of GDP" + } + } + + stat_var_spec { + key: "domesticMaterialConsumption" + value { + stat_var: "sdg/EN_MAT_DOMCMPT" + name: "Domestic material consumption" + } + } +} + + +#categories { +# title: "Category_Title_Goes_Here" +# description: "Category_Description_Goes_Here" +# +# blocks { +# columns { +# tiles { +# type: LINE +# title: "TILE_TITLE_GOES_HERE" +# stat_var_key: "STAT_VAR_KEY_GOES_HERE" +# } +# } +# } +# +# stat_var_spec { +# key: "STAT_VAR_KEY_GOES_HERE" +# value { +# stat_var: "STAT_VAR_GOES_HERE" +# name: "STAT_VAR_NAME_GOES_HERE" +# } +# } +#} \ No newline at end of file diff --git a/server/lib/util.py b/server/lib/util.py index 9cdc168553..81db2f385f 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -51,7 +51,8 @@ 'dev': ['CA'], 'sdg': ['sdg'], 'foodsecurity' : ['USA', 'CA'], - 'dc2_1' : ['COL'] + 'dc2_1' : ['COL'], + 'dc2_2' : ['NGA'] } # Levels range from 0 (fastest, least compression), to 9 (slowest, most From 6bca525b847a098849be5d41043a839053d5a9bc Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 2 Aug 2023 13:51:48 -0700 Subject: [PATCH 14/84] Updating git hash --- deploy/helm_charts/envs/techsoup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 361846468e..b1fd9bbac4 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 5576e55 + tag: 8bc51b1 flaskEnv: custom replicas: 1 From 0270bc00d7608c1670d97bf3c450c0e5b2e599eb Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sun, 6 Aug 2023 23:59:29 -0700 Subject: [PATCH 15/84] Support markdown on DESCRIPTION tiles --- static/js/components/subject_page/block.tsx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/static/js/components/subject_page/block.tsx b/static/js/components/subject_page/block.tsx index f16d321600..265c27632d 100644 --- a/static/js/components/subject_page/block.tsx +++ b/static/js/components/subject_page/block.tsx @@ -20,6 +20,7 @@ import axios from "axios"; import React, { useEffect, useState } from "react"; +import ReactMarkdown from "react-markdown"; import { COLUMN_ID_PREFIX, @@ -310,7 +311,7 @@ function renderTiles( case "DESCRIPTION": return (

    - {tile.description} + {tile.description}

    ); case "PLACE_OVERVIEW": From d32879a1fcbe04d25f7d2de82da286b44c4bddc9 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sun, 6 Aug 2023 23:59:55 -0700 Subject: [PATCH 16/84] DC2_4 initial scaffolding --- server/config/topic_page/dc2_4/USA.textproto | 75 ++++++++++++++++ .../topic_page/foodsecurity/CA.textproto | 13 ++- .../topic_page/playground/US_Places.textproto | 89 +++++++++++++++++++ 3 files changed, 176 insertions(+), 1 deletion(-) create mode 100644 server/config/topic_page/dc2_4/USA.textproto create mode 100644 server/config/topic_page/playground/US_Places.textproto diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto new file mode 100644 index 0000000000..5114fd3afb --- /dev/null +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -0,0 +1,75 @@ +# Copyright 2023 TechSoup Global +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + +metadata { + topic_id: "dc2_4" + topic_name: "Food Security" + place_dcid: "country/USA" + contained_place_types { + key: "Country" + value: "County" + } +} + +categories { + title: "Poverty in the United States" + + ### NEW BLOCK ### + blocks { + title: "Supplemental Nutrition Assistance Program (SNAP) per capita" + columns { + tiles { + type: MAP + title: "Households Receiving Food Stamps in the Past Year Per Capita ${date}" + stat_var_key: "Count_Household_WithFoodStampsInThePast12Months" + } + } + } + stat_var_spec { + key: "Count_Household_WithFoodStampsInThePast12Months" + value { + stat_var: "Count_Household_WithFoodStampsInThePast12Months" + name: "Count_Household_WithFoodStampsInThePast12Months" + } + } + + ### NEW BLOCK ### + blocks { + title: "Number of people living in poverty" + columns { + tiles { + type: HIGHLIGHT + description: "People below the poverty line in ${placeName} ${date}" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + } + } + columns { + tiles { + type: LINE + description: "Number of People Below the Poverty Line ${date}" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + } + } + } + stat_var_spec { + key: "Count_Person_BelowPovertyLevelInThePast12Months" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" + name: "Count_Person_BelowPovertyLevelInThePast12Months" + } + } + +} diff --git a/server/config/topic_page/foodsecurity/CA.textproto b/server/config/topic_page/foodsecurity/CA.textproto index 5fc13016ce..919a6a3574 100644 --- a/server/config/topic_page/foodsecurity/CA.textproto +++ b/server/config/topic_page/foodsecurity/CA.textproto @@ -17,11 +17,22 @@ metadata { topic_id: "foodsecurity" topic_name: "Food Security" - place_dcid: "geoId/06" + place_group { + parent_place: "country/USA" + place_type: "State" + } + place_group { + parent_place: "country/USA" + place_type: "County" + } contained_place_types { key: "State" value: "County" } + contained_place_types { + key: "County" + value: "CensusTract" + } } categories { diff --git a/server/config/topic_page/playground/US_Places.textproto b/server/config/topic_page/playground/US_Places.textproto new file mode 100644 index 0000000000..0f4d9ac7f2 --- /dev/null +++ b/server/config/topic_page/playground/US_Places.textproto @@ -0,0 +1,89 @@ +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + +metadata { + topic_id: "playground" + topic_name: "TechSoup Topic Page Playground" + place_group { + parent_place: "country/USA" + place_type: "State" + } + place_group { + parent_place: "country/USA" + place_type: "County" + } + contained_place_types { + key: "State" + value: "County" + } + contained_place_types { + key: "County" + value: "CensusTract" + } +} + +categories { + title: "Test" + blocks { + title: "Using markdown in descriptions" + columns { + tiles { + type: DESCRIPTION + description: "# This is a test of markdown.\nThis is a description. Does *Markdown* work?\n* Yes or\n* No\n\n What about a [link](https://www.techsoup.org)?" + } + } + + } + + + blocks { + title: "Excess food generation from restaurants" + + columns { + tiles { + type: HIGHLIGHT + description: "Excess food generation from restaurants in ${placeName}" + stat_var_key: "restaurant_excessfoodgeneration" + } + } + + columns { + tiles { + type: MAP + stat_var_key: "restaurant_excessfoodgeneration" + title: "Excess food generation from restaurants by county" + } + } + } + + stat_var_spec { + key: "household_median_income" + value { + stat_var: "Median_Income_Household" + name: "Household Median Income" + } + } + + stat_var_spec { + key: "restaurant_excessfoodgeneration" + value { + stat_var: "dc/963qtn2mpnbs" + name: "Excess food generated by full service restaurants" + scaling: 1.38 + unit: "Tons" + } + } +} From a246bf55f7b8381aa9c1b01fff99a30a7a81688e Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 7 Aug 2023 00:01:16 -0700 Subject: [PATCH 17/84] Read in DC2.4 config --- server/lib/util.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/server/lib/util.py b/server/lib/util.py index 8fb4deca16..a66ceb07f4 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -53,7 +53,9 @@ 'sdg': ['sdg'], 'foodsecurity' : ['USA', 'CA'], 'dc2_1' : ['COL'], - 'dc2_2' : ['NGA'] + 'dc2_2' : ['NGA'], + 'dc2_4' : ['USA'], + 'playground' : ['US_Places'] } # Levels range from 0 (fastest, least compression), to 9 (slowest, most From d981592c37094e0f151d40e849bbd84f6678020e Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 8 Aug 2023 00:11:57 -0700 Subject: [PATCH 18/84] Add state drill down --- server/config/topic_page/dc2_4/USA.textproto | 177 ++++++++++++++++++- 1 file changed, 175 insertions(+), 2 deletions(-) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto index 5114fd3afb..205a8aab27 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -17,11 +17,30 @@ metadata { topic_id: "dc2_4" topic_name: "Food Security" - place_dcid: "country/USA" + place_group { + parent_place: "Earth" + place_type: "Country" + } + place_group { + parent_place: "country/USA" + place_type: "State" + } + place_group { + parent_place: "country/USA" + place_type: "County" + } contained_place_types { key: "Country" + value: "State" + } + contained_place_types { + key: "State" value: "County" } + contained_place_types { + key: "County" + value: "CensusTract" + } } categories { @@ -55,6 +74,14 @@ categories { description: "People below the poverty line in ${placeName} ${date}" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: false + } + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + } } columns { tiles { @@ -68,8 +95,154 @@ categories { key: "Count_Person_BelowPovertyLevelInThePast12Months" value { stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" - name: "Count_Person_BelowPovertyLevelInThePast12Months" + name: "Population below poverty line" + } + } + + ### NEW BLOCK ### + blocks { + title: "Poverty per capita" + columns { + tiles { + title: "Population Living In Poverty Per Capita ${date}" + type: MAP + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pc" + } + } + } + stat_var_spec { + key: "Count_Person_BelowPovertyLevelInThePast12Months_pc" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" + denom: "Count_Person" + name: "Population below poverty line" + } + } + + ### NEW BLOCK ### + blocks { + title: "Median Income" + columns { + tiles { + title: "Median Income for All Households ${date}" + type: MAP + stat_var_key: "Median_Income_Household" + } + } + } + stat_var_spec { + key: "Median_Income_Household" + value { + stat_var: "Median_Income_Household" + name: "Median Income for All Households" + } + } + + ### NEW BLOCK ### + blocks { + title: "Unemployment Rate" + columns { + tiles { + title: "Unemployment Rate of a Population ${date}" + type: MAP + stat_var_key: "UnemploymentRate_Person" + } + } + } + stat_var_spec { + key: "UnemploymentRate_Person" + value { + stat_var: "UnemploymentRate_Person" + name: "Unemployment Rate" + } + } + + ### NEW BLOCK ### + blocks { + title: "Language Spoken At Home" + columns { + tiles { + title: "Working Age Adults Who Do Not Speak English At Home Per Capita ${date}" + type: MAP + stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pc" + } + } + } + stat_var_spec { + key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pc" + value { + stat_var: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" + name: "Population: 18-64 Years, Language Other Than English Per Capita" + denom: "Count_Person" } } + ### NEW BLOCK ### + blocks { + title: "Single Mother Households" + columns { + tiles { + type: HIGHLIGHT + description: "Households in ${placeName} are single mother households" + stat_var_key: "Count_Household_SingleMotherFamilyHousehold_pct" + } + } + columns { + tiles { + type: LINE + description: "Number of Single Mother Households ${date}" + stat_var_key: "Count_Household_SingleMotherFamilyHousehold" + stat_var_key: "Count_Household_FamilyHousehold" + } + } + } + stat_var_spec { + key: "Count_Household_SingleMotherFamilyHousehold_pct" + value { + stat_var: "Count_Household_SingleMotherFamilyHousehold" + name: "Single Family Household rate" + denom: "Count_Household_FamilyHousehold" + unit: "Percent" + scaling: 100 + } + } + + stat_var_spec { + key: "Count_Household_SingleMotherFamilyHousehold" + value { + stat_var: "Count_Household_SingleMotherFamilyHousehold" + name: "Single Mother Family Households" + } + } + + stat_var_spec { + key: "Count_Household_FamilyHousehold" + value { + stat_var: "Count_Household_FamilyHousehold" + name: "Family Households" + } + } + +} + +categories { + title: "Explore More" + + ### NEW BLOCK ### + blocks { + title: "See data for your state" + columns { + tiles { + type: DESCRIPTION + description: "* [Alabama](../geoId/01)\n* [Alaska](../geoId/02)\n* [Arizona](../geoId/04)\n* [Arkansas](../geoId/05)\n* [California](../geoId/06)\n* [Colorado](../geoId/08)\n* [Connecticut](../geoId/09)\n* [Delaware](../geoId/10)\n* [Florida](../geoId/12)\n* [Georgia](../geoId/13)\n* [Hawaii](../geoId/15)\n* [Idaho](../geoId/16)\n* [Illinois](../geoId/17)\n* [Indiana](../geoId/18)\n* [Iowa](../geoId/19)\n* [Kansas](../geoId/20)\n* [Kentucky](../geoId/21)\n* [Louisiana](../geoId/22)\n* [Maine](../geoId/23)\n* [Maryland](../geoId/24)\n* [Massachusetts](../geoId/25)\n* [Michigan](../geoId/26)\n* [Minnesota](../geoId/27)\n* [Mississippi](../geoId/28)\n* [Missouri](../geoId/29)" + } + } + columns { + tiles { + type: DESCRIPTION + description: "* [Montana](../geoId/30)\n* [Nebraska](../geoId/31)\n* [Nevada](../geoId/32)\n* [New Hampshire ](../geoId/33)\n* [New Jersey ](../geoId/34)\n* [New Mexico ](../geoId/35)\n* [New York ](../geoId/36)\n* [North Carolina ](../geoId/37)\n* [North Dakota ](../geoId/38)\n* [Ohio](../geoId/39)\n* [Oklahoma ](../geoId/40)\n* [Oregon](../geoId/41)\n* [Pennsylvania](../geoId/42)\n* [Rhode Island](../geoId/44)\n* [South Carolina](../geoId/45)\n* [South Dakota ](../geoId/46)\n* [Tennessee](../geoId/47)\n* [Texas](../geoId/48)\n* [Utah](../geoId/49)\n* [Vermont](../geoId/50)\n* [Virginia](../geoId/51)\n* [Washington](../geoId/53)\n* [West Virginia ](../geoId/54)\n* [Wisconsin](../geoId/55)\n* [Wyoming](../geoId/56)" + } + } + + } } From 7d6bd635215e8a6f5ee29adf330433731a9ddd6a Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 8 Aug 2023 23:33:41 -0700 Subject: [PATCH 19/84] Draft categories 2 and 3 --- server/config/topic_page/dc2_4/USA.textproto | 364 +++++++++++++++++++ 1 file changed, 364 insertions(+) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto index 205a8aab27..e6b20a5f71 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -225,6 +225,370 @@ categories { } +categories { + title: "Health and Nutrition" + + ### NEW BLOCK ### + blocks { + title: "Community Food Services" + columns { + tiles { + title: "Number of Community Food Services ${date}" + type: MAP + stat_var_key: "dc/7dcmzwydmtet5" + } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "dc/7dcmzwydmtet5" + } + } + } + stat_var_spec { + key: "dc/7dcmzwydmtet5" + value { + stat_var: "dc/7dcmzwydmtet5" + name: "Count of Establishment: Community Food Services (NAICS/62421)" + } + } + + ### NEW BLOCK ### + blocks { + title: "Grocery Store Owners" + columns { + tiles { + title: "Number of Grocery Store Owners ${date}" + type: MAP + stat_var_key: "dc/cc51jvbvp0jdf" + } + } + } + stat_var_spec { + key: "dc/cc51jvbvp0jdf" + value { + stat_var: "dc/cc51jvbvp0jdf" + name: "Population of Person: Privately Owned, Grocery Stores (NAICS/4451)" + } + } + + ### NEW BLOCK ### + blocks { + title: "Life Expectancy" + columns { + tiles { + title: "Life Expectancy ${date}" + type: MAP + stat_var_key: "LifeExpectancy_Person" + } + } + } + stat_var_spec { + key: "LifeExpectancy_Person" + value { + stat_var: "LifeExpectancy_Person" + name: "Life Expectancy" + } + } + + ### NEW BLOCK ### + blocks { + title: "Health Insurance" + columns { + tiles { + title: "Population Without Health Insurance Per Capita ${date}" + type: MAP + stat_var_key: "Count_Person_NoHealthInsurance_pc" + } + tiles { + title: "Median Income for Households Without Health Insurance versus Number of People Below the Poverty Line" + type: SCATTER + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Median_Income_Household_NoHealthInsurance" + } + } + } + stat_var_spec { + key: "Count_Person_NoHealthInsurance_pc" + value { + stat_var: "Count_Person_NoHealthInsurance" + name: "Population Without Health Insurance Per Capita" + denom: "Count_Person" + } + } + stat_var_spec { + key: "Median_Income_Household_NoHealthInsurance" + value { + stat_var: "Median_Income_Household_NoHealthInsurance" + name: "Median Income for Households Without Health Insurance" + } + } + stat_var_spec { + key: "Count_Person_BelowPovertyLevelInThePast12Months" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" + name: "Population Below Poverty Level Status in Past Year" + } + } + + ### NEW BLOCK ### + blocks { + title: "Health Conditions and Poverty" + columns { + tiles { + title: "Percent Population With Poor Physical Health and Below the Poverty Line" + type: SCATTER + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Percent_Person_WithPhysicalHealthNotGood" + } + tiles { + title: "Percent Population With High Blood Pressure and Below the Poverty Line" + type: SCATTER + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Percent_Person_WithHighBloodPressure" + } + tiles { + title: "Percent Population With Heart Disease and Below the Poverty Line" + type: SCATTER + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Percent_Person_WithCoronaryHeartDisease" + } + } + columns { + tiles { + title: "Percent Population With Diabetes and Below the Poverty Line" + type: SCATTER + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Percent_Person_WithDiabetes" + } + tiles { + title: "Percent Population With High Cholesterol and Below the Poverty Line" + type: SCATTER + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Percent_Person_WithHighCholesterol" + } + tiles { + title: "Percent Population With Cancer and Below the Poverty Line" + type: SCATTER + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Percent_Person_WithCancerExcludingSkinCancer" + } + } + } + stat_var_spec { + key: "Percent_Person_WithPhysicalHealthNotGood" + value { + stat_var: "Percent_Person_WithPhysicalHealthNotGood" + name: "Percentage of Population With Poor Physical Health" + } + } + stat_var_spec { + key: "Percent_Person_WithHighBloodPressure" + value { + stat_var: "Percent_Person_WithHighBloodPressure" + name: "Percentage of Population With Poor Physical Health" + } + } + stat_var_spec { + key: "Percent_Person_WithCoronaryHeartDisease" + value { + stat_var: "Percent_Person_WithCoronaryHeartDisease" + name: "Percentage of Population With Coronary Heart Disease" + } + } + stat_var_spec { + key: "Percent_Person_WithDiabetes" + value { + stat_var: "Percent_Person_WithDiabetes" + name: "Percentage of Population With Diabetes" + } + } + stat_var_spec { + key: "Percent_Person_WithHighCholesterol" + value { + stat_var: "Percent_Person_WithHighCholesterol" + name: "Percentage of Population With High Cholesterol" + } + } + stat_var_spec { + key: "Percent_Person_WithCancerExcludingSkinCancer" + value { + stat_var: "Percent_Person_WithCancerExcludingSkinCancer" + name: "Percentage of Population With Cancer" + } + } + stat_var_spec { + key: "Count_Person_BelowPovertyLevelInThePast12Months" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" + name: "Population Below Poverty Level Status in Past Year" + } + } + +} + +categories { + title: "Farming" + + ### NEW BLOCK ### + blocks { + title: "Farms" + columns { + tiles { + type: HIGHLIGHT + description: "Farms in ${placeName} ${date}" + stat_var_key: "Count_Farm" + } + tiles { + title: "Farms ${date}" + type: MAP + stat_var_key: "Count_Farm" + } + tiles { + title: "Population: Producer ${date}" + type: MAP + stat_var_key: "Count_Person_Producer" + } + } + } + stat_var_spec { + key: "Count_Farm" + value { + stat_var: "Count_Farm" + name: "Farms" + } + } + stat_var_spec { + key: "Count_Person_Producer" + value { + stat_var: "Count_Person_Producer" + name: "Count: Producer" + } + } + + ### NEW BLOCK ### + blocks { + title: "Farm Areas" + columns { + tiles { + title: "Percent of Crop Covered Area ${date}" + type: MAP + stat_var_key: "LandCoverFraction_Cropland" + } + tiles { + title: "Beef Cows on a Farm ${date}" + type: MAP + stat_var_key: "Count_FarmInventory_BeefCows" + } + tiles { + title: "Forage Produced ${date}" + type: MAP + stat_var_key: "Amount_FarmInventory_Forage" + } + tiles { + title: "Total Area of Farms for Silage ${date}" + type: MAP + stat_var_key: "Area_Farm_CornForSilageOrGreenchop" + } + } + } + stat_var_spec { + key: "LandCoverFraction_Cropland" + value { + stat_var: "LandCoverFraction_Cropland" + name: "Percent of Crop Covered Area" + } + } + stat_var_spec { + key: "Count_FarmInventory_BeefCows" + value { + stat_var: "Count_FarmInventory_BeefCows" + name: "Beef Cows on a Farm" + } + } + stat_var_spec { + key: "Amount_FarmInventory_Forage" + value { + stat_var: "Amount_FarmInventory_Forage" + name: "Forage Produced" + } + } + stat_var_spec { + key: "Area_Farm_CornForSilageOrGreenchop" + value { + stat_var: "Area_Farm_CornForSilageOrGreenchop" + name: "Total Area of Farms for Silage" + } + } + + ### NEW BLOCK ### + blocks { + title: "Farm Production" + columns { + tiles { + title: "Area of Irrigated Lands on Farms ${date}" + type: MAP + stat_var_key: "Area_Farm_IrrigatedLand" + } + tiles { + title: "Area of Farms Growing Vegetables for Sale ${date}" + type: MAP + stat_var_key: "Area_Farm_VegetablesHarvestedForSale" + } + tiles { + title: "Farms Receiving Government Payments ${date}" + type: MAP + stat_var_key: "Count_Farm_ReceivedGovernmentPayment" + } + + } + } + stat_var_spec { + key: "Area_Farm_IrrigatedLand" + value { + stat_var: "Area_Farm_IrrigatedLand" + name: "Area of Irrigated Lands on Farms" + } + } + stat_var_spec { + key: "Area_Farm_VegetablesHarvestedForSale" + value { + stat_var: "Area_Farm_VegetablesHarvestedForSale" + name: "Area of Farms Growing Vegetables for Sale" + } + } + stat_var_spec { + key: "Count_Farm_ReceivedGovernmentPayment" + value { + stat_var: "Count_Farm_ReceivedGovernmentPayment" + name: "Farms Receiving Government Payments" + } + } + + ### NEW BLOCK ### + blocks { + title: "Farm Equipment" + columns { + tiles { + title: "Mean Market Value of Farm Machinery and Equipment ${date}" + type: MAP + stat_var_key: "Mean_MarketValue_Farm_MachineryAndEquipment" + } + + } + } + stat_var_spec { + key: "Mean_MarketValue_Farm_MachineryAndEquipment" + value { + stat_var: "Mean_MarketValue_Farm_MachineryAndEquipment" + name: "Mean Market Value of Farm Machinery and Equipment" + } + } + +} + categories { title: "Explore More" From d6337e4eb6a37d311f2104145f3becd99e975ffe Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 8 Aug 2023 23:47:14 -0700 Subject: [PATCH 20/84] Draft category 3 --- server/config/topic_page/dc2_4/USA.textproto | 83 ++++++++++++++++++++ 1 file changed, 83 insertions(+) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto index e6b20a5f71..91dd66893c 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -589,6 +589,88 @@ categories { } +categories { + title: "Climate and Agriculture" + + ### NEW BLOCK ### + blocks { + title: "Temperature" + columns { + tiles { + title: "Population-weighted Number of Heat Waves ${date}" + type: MAP + stat_var_key: "PopulationWeighted_Count_HeatWaveEvent" + } + + } + } + stat_var_spec { + key: "PopulationWeighted_Count_HeatWaveEvent" + value { + stat_var: "PopulationWeighted_Count_HeatWaveEvent" + name: "Population-weighted Number of Heat Waves" + } + } + + ### NEW BLOCK ### + blocks { + title: "Droughts" + columns { + tiles { + title: "Droughts ${date}" + type: MAP + stat_var_key: "Count_DroughtEvent" + } + + } + } + stat_var_spec { + key: "Count_DroughtEvent" + value { + stat_var: "Count_DroughtEvent" + name: "Droughts" + } + } + + ### NEW BLOCK ### + blocks { + title: "Water for Farms" + columns { + tiles { + title: "Area of Irrigated Lands on Farms ${date}" + type: MAP + stat_var_key: "Area_Farm_IrrigatedLand" + } + tiles: { + type: LINE + title: "Withdrawal Rate of Water for Livestock in ${placeName}" + stat_var_key: "WithdrawalRate_Water_Livestock" + } + tiles { + title: "Withdrawal Rate of Water for Livestock ${date}" + type: MAP + stat_var_key: "WithdrawalRate_Water_Livestock" + } + } + } + stat_var_spec { + key: "Area_Farm_IrrigatedLand" + value { + stat_var: "Area_Farm_IrrigatedLand" + name: "Area of Irrigated Lands on Farms" + } + } + stat_var_spec { + key: "WithdrawalRate_Water_Livestock" + value { + stat_var: "WithdrawalRate_Water_Livestock" + name: "Withdrawal Rate of Water for Livestock" + } + } + +} + + categories { title: "Explore More" @@ -610,3 +692,4 @@ categories { } } + From ed58ccb9a249d2c76cd5ac8ee2e1c434a457a946 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 8 Aug 2023 23:47:26 -0700 Subject: [PATCH 21/84] Update git hash --- deploy/helm_charts/envs/techsoup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 48e54b267e..82f0fe9cad 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 8bc51b1 + tag: d981592 flaskEnv: custom replicas: 1 From 512fa30cf2fb75b607ec23676f0810b7e29dda85 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 9 Aug 2023 16:04:20 -0700 Subject: [PATCH 22/84] Add devcontainer for codespaces --- .devcontainer/devcontainer.json | 29 +++++++++++++++++++++++++++ deploy/helm_charts/envs/techsoup.yaml | 2 +- 2 files changed, 30 insertions(+), 1 deletion(-) create mode 100644 .devcontainer/devcontainer.json diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000000..8dd45124ba --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,29 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/python +{ + "name": "Python 3", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye", + "features": { + "ghcr.io/devcontainers/features/node:1": { "version": "18.4.0" }, + "ghcr.io/devcontainers-contrib/features/protoc:1": {}, + "ghcr.io/dhoeric/features/google-cloud-cli:1": {} + + } + + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, + + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + + // Use 'postCreateCommand' to run commands after the container is created. + // "postCreateCommand": "pip3 install --user -r requirements.txt", + + // Configure tool-specific properties. + // "customizations": {}, + + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" +} + diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 82f0fe9cad..17b19620ee 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: d981592 + tag: ed58ccb flaskEnv: custom replicas: 1 From e07818a79795041a335781eb1005002ec4841d0b Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 16 Aug 2023 12:10:23 -0700 Subject: [PATCH 23/84] Fix issue with COL map not showing on topic page --- server/lib/subject_page_config.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/server/lib/subject_page_config.py b/server/lib/subject_page_config.py index fbbb13b590..20d958f853 100644 --- a/server/lib/subject_page_config.py +++ b/server/lib/subject_page_config.py @@ -159,8 +159,12 @@ def _places_with_geojson(places): result = [] resp = fetch.properties(places) for place, place_props in resp.items(): - if 'geoJsonCoordinates' in place_props: - result.append(place) + # TECHSOUP UPDATE: Look for a property that starts with geoJsonCoordinates rather than an exact match + #if 'geoJsonCoordinates' in place_props: + # result.append(place) + for prop in place_props: + if prop.startswith("geoJsonCoordinates"): + result.append(place) return result From d718ffd586f14f87be4dde11cf7b477c316a5606 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sat, 19 Aug 2023 14:53:09 -0700 Subject: [PATCH 24/84] Updated DC2.1 topic page --- .../COL.textproto | 123 +++++++++++------- server/lib/util.py | 2 +- .../logo-makaia-web.png | Bin 0 -> 22624 bytes 3 files changed, 74 insertions(+), 51 deletions(-) rename server/config/topic_page/{dc2_1 => economic-and-social-growth}/COL.textproto (56%) create mode 100644 static/custom_dc/custom/images/topics/economic-and-social-growth/logo-makaia-web.png diff --git a/server/config/topic_page/dc2_1/COL.textproto b/server/config/topic_page/economic-and-social-growth/COL.textproto similarity index 56% rename from server/config/topic_page/dc2_1/COL.textproto rename to server/config/topic_page/economic-and-social-growth/COL.textproto index a7f7b4bb28..dca004bdc8 100644 --- a/server/config/topic_page/dc2_1/COL.textproto +++ b/server/config/topic_page/economic-and-social-growth/COL.textproto @@ -15,7 +15,7 @@ ## This file specifies the topic page config for poverty in USA metadata { - topic_id: "dc2_1" + topic_id: "economic-and-social-growth" topic_name: "Economic & Social Growth" place_dcid: "country/COL" contained_place_types { @@ -28,10 +28,8 @@ categories { title: "Economic Development For Better Lives" - blocks { - title: "Introduction" - description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its peoples’ needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence – particularly homicides? And finally, how do civil society organizations compliment economic development and state action? For this, there is no better country to review than Colombia." + description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its people's needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence — particularly homicides? And finally, how do civil society organizations complement economic development and state action? For this, there is no better country to review than Colombia." columns { tiles { type: HIGHLIGHT @@ -49,31 +47,38 @@ categories { } blocks { - title: "From LATAM to Colombia: the correlations of economic development" - description: "Over the last 50 years, Latin American (LATAM) countries such as Colombia, Ecuador, Perú and Venezuela have steadily strengthened their GDP, except during the COVID 19 pandemic. There appears to be a regional correlation in economic performance of LATAM countries – when one country prospers, other LATAM countries prosper as a result. Similarly, these countries suffered significant declines during the pandemic. After the pandemic, recovery was accelerated dramatically." + title: "From LATAM to Colombia: The Correlations of Economic Development" + description: "Over the last 50 years, Latin American (LATAM) countries such as Colombia, Ecuador, Perú, and Venezuela have steadily strengthened their GDP, except during the COVID-19 pandemic. There appears to be a regional correlation in economic performance of these countries: When one country prospers, other LATAM countries prosper as a result. Similarly, these countries suffered significant declines during the pandemic. After the pandemic, recovery was accelerated dramatically." columns { tiles { type: LINE - title: "GDP Growth in ${placeName}" + title: "Growth Rate of GDP (${placeName})" stat_var_key: "gdp_growth" } + } + columns { tiles { type: LINE - title: "GDP Growth in ${placeName}" + title: "Growth Rate of GDP (${placeName})" stat_var_key: "gdp_growth" place_dcid_override: "country/ECU" } } + } + + blocks { columns { tiles { type: LINE - title: "GDP Growth in ${placeName}" + title: "Growth Rate of GDP (${placeName})" stat_var_key: "gdp_growth" place_dcid_override: "country/PER" } + } + columns { tiles { type: LINE - title: "GDP Growth in ${placeName}" + title: "Growth Rate of GDP (${placeName})" stat_var_key: "gdp_growth" place_dcid_override: "country/VEN" } @@ -84,14 +89,14 @@ categories { columns { tiles { type: DESCRIPTION - description: "Colombia has undoubtedly contributed to the accelerated growth of the region's GDP in the post-pandemic years, partly due to the different measures taken by the national government to overcome the humanitarian crisis, but how does the country's economic growth correlate with social variables?" + description: "Colombia has undoubtedly contributed to the accelerated growth of the region's GDP in the post-pandemic years — partly due to the different measures taken by the national government to overcome the humanitarian crisis — but how does the country's economic growth correlate with social variables?" } } } blocks { - title: "Leading social change through economic growth" - description: "Since 2008 economic growth has led to a significant reduction of people under the poverty line, mainly because this growth generates more employment and business opportunities therefore a higher income." + title: "Leading Social Change Through Economic Growth" + description: "Since 2008, economic growth has led to a significant reduction of people under the poverty line, mainly because this growth generates more employment and business opportunities and therefore a higher income." columns { tiles { type: LINE @@ -102,7 +107,7 @@ categories { columns { tiles { type: LINE - title: "Employed population below international poverty line in ${placeName}" + title: "${placeName}'s employed population below the poverty line" stat_var_key: "empl_poverty_rate_15_24" stat_var_key: "empl_poverty_rate_15_older" stat_var_key: "empl_poverty_rate_25_older" @@ -114,33 +119,33 @@ categories { columns { tiles { type: DESCRIPTION - description: "As GDP increases, poverty decreases. Newly created jobs allow governments to collect more taxes to invest in social programs such as free secondary education for vulnerable populations, which in most cases enables people to access better salaries that improves their quality of life." + description: "As GDP increases, poverty decreases. Newly created jobs allow governments to collect more taxes to invest in social programs such as free secondary education for vulnerable populations, which in most cases enables people to access better salaries, which **improves their quality of life**." } } } blocks { columns { - tiles { - type: LINE - title: "Percent of Working Age Population in the Labor Force in ${placeName}" - stat_var_key: "pct_pop_laborforce" - } tiles { type: DESCRIPTION description: "According to macroeconomics theories, as more production is generated in a country, the labor force increases. This is a result of production driving more consumption, which in turn drives demand and employment." } - } - columns { tiles { type: LINE - title: "Upper Secondary completion rate in ${placeName}" - stat_var_key: "upper_secondary_pc" + title: "Percent of Working-Age Population in the Labor Force" + stat_var_key: "pct_pop_laborforce" } + } + columns { tiles { type: DESCRIPTION description: "When GDP increases, we see an increase in the number of higher education students not dropping out of college and instead continuing to graduation." } + tiles { + type: LINE + title: "Percent of Secondary Education Students Graduating" + stat_var_key: "upper_secondary_pc" + } } } @@ -148,7 +153,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "Economic growth has also contributed to a decrease in the infant mortality rate, the main indicator for measuring the quality of health systems; with higher incomes, families have access to more and better food, medicines and sanitary implements in their homes. It has also allowed the universalization of public services such as drinking water, which provides better guarantees for life, especially for the children." + description: "Economic growth has also contributed to a decrease in the infant mortality rate, the main indicator for measuring the quality of health systems. With higher incomes, families have access to more and better food, medicines, and sanitary implements in their homes. It has also allowed the universalization of public services such as drinking water, which provides better guarantees for life, especially for the children." } } } @@ -157,14 +162,14 @@ categories { columns { tiles { type: LINE - title: "Infant Mortality Rate in ${placeName}" + title: "Infant Mortality Rate" stat_var_key: "infant_mortality" } } columns { tiles { type: LINE - title: "Proportion of population using basic drinking water services in ${placeName}" + title: "Access to Basic Drinking Water Services" stat_var_key: "basic_water_services_pc" } } @@ -174,7 +179,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "The data shows that the better the economy, the better the quality of life in the region and the country. Unfortunately, not all the correlations are on the good side, LATAM and specially Colombia, concentrates a large part of the world's drug production, which leads it to be a center of operations of transnational criminal organizations, resulting in constant attacks against the civil population." + description: "The data shows that the better the economy, the better the quality of life in the region and the country. Unfortunately, not all the correlations are on the good side. LATAM, and specially Colombia, concentrates a large part of the world's drug production, which leads it to be a center of operations of transnational criminal organizations, resulting in constant attacks against the civil population." } } } @@ -206,22 +211,25 @@ categories { stat_var_spec { key: "empl_poverty_rate_15_24" value { - stat_var: "sdg/SI_POV_EMP1_15-24" + stat_var: "sdg/SI_POV_EMP1.AGE--Y15T24" name: "Employed population below international poverty line: 15 to 24 years old" + unit: "%" } } stat_var_spec { key: "empl_poverty_rate_15_older" value { - stat_var: "sdg/SI_POV_EMP1_15GEQ" + stat_var: "sdg/SI_POV_EMP1.AGE--Y_GE15" name: "Employed population below international poverty line: 15 years old and over" + unit: "%" } } stat_var_spec { key: "empl_poverty_rate_25_older" value { - stat_var: "sdg/SI_POV_EMP1_25GEQ" + stat_var: "sdg/SI_POV_EMP1.AGE--Y_GE25" name: "Employed population below international poverty line: 25 years old and over" + unit: "%" } } @@ -230,13 +238,16 @@ categories { value { stat_var: "Count_Person_15To64Years_InLaborForce_AsFractionOf_Count_Person_15To64Years" name: "Percent of Working Age Population in the Labor Force" + scaling: 100 + unit: "%" } } stat_var_spec { key: "upper_secondary_pc" value { - stat_var: "sdg/SE_TOT_CPLR_UPPSEC" + stat_var: "sdg/SE_TOT_CPLR.EDUCATION_LEV--ISCED11_3" name: "Completion rate: Upper secondary" + unit: "%" } } stat_var_spec { @@ -251,6 +262,7 @@ categories { value { stat_var: "sdg/SP_ACS_BSRVH2O" name: "Proportion of population using basic drinking water services" + unit: "%" } } @@ -258,11 +270,10 @@ categories { categories { - title: "A Growing Economy For Better Security" + title: "A Growing Economy for Better Security" blocks { - title: "Introduction" - description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its peoples’ needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence – particularly homicides? And finally, how do civil society organizations compliment economic development and state action? For this, there is no better country to review than Colombia." + description: "The reality that violence has created in LATAM is overwhelming. During 2022, countries such as Bolivia, Colombia, Ecuador, Perú y Venezuela reached similar homicide rates, mainly due to the presence of armed groups seeking to expand their illegal businesses through violence, spreading fear among the population." columns { tiles { type: BAR @@ -279,19 +290,19 @@ categories { blocks { title: "GDP Growth and Violence" - description: "When the economy grows, the lives of the inhabitants improves by increasing access to basic services such as health, education, work and security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert." + description: "When the economy grows, the lives of the inhabitants improve by increasing access to basic services such as health, education, work, and security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert." columns { tiles { type: LINE - title: "GDP in ${placeName}" + title: "GDP of ${placeName}" stat_var_key: "gdp" } } columns { tiles { type: LINE - title: "Murder and Non Negligent Manslaughter Cases Per Capita in ${placeName}" + title: "Violence in ${placeName}" stat_var_key: "homicides_pc" } } @@ -301,7 +312,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "That being said, reducing violence and improving Colombian’s daily lives is not just an economic development matter, governments need allies to establish a prosperous and peaceful nation. The active participation of civil society and social organizations are vital for building bridges between government efforts and the needs of the population. In Colombia’s case there are many organizations working to promote development in the country and therefore improving the quality of life for all the inhabitants." + description: "That being said, reducing violence and improving Colombian's daily lives is not just an economic development matter. Governments need allies to establish a prosperous and peaceful nation. The active participation of civil society and social organizations is vital for building bridges between government efforts and the needs of the population. In Colombia’s case there are many organizations working to promote development in the country and therefore improving the quality of life for all the inhabitants." } } } @@ -323,7 +334,7 @@ categories { } categories { - title: "Promoting development through civil society" + title: "Promoting Development Through Civil Society" blocks { description: "Many efforts are being made by civil society to continue actions that promote the growth of the economy in favor of improving the living conditions of its inhabitants." @@ -334,37 +345,37 @@ categories { } tiles { type: DESCRIPTION - description: "WWB Colombia Foundation (https://www.fundacionwwbcolombia.org): creates programs to strengthen the personal and business skills of vulnerable women, in order to reduce the unemployment rate of this population and boost the impact of social investment." + description: "- [*WWB Colombia Foundation*](https://www.fundacionwwbcolombia.org): Creates programs to strengthen the personal and business skills of vulnerable women in order to reduce the unemployment rate of this population and boost the impact of social investment." } tiles { type: DESCRIPTION - description: "Mano Cambiada (https://www.manocambiada.org): seeks to prevent the recruitment of young people in contexts of violence, transforming them into social change agents through the creation of community based tourism programs and environmental and cultural education." + description: "- [*Mano Cambiada*](https://www.manocambiada.org): Seeks to prevent the recruitment of young people in contexts of violence, transforming them into social change agents through the creation of community-based tourism programs and environmental and cultural education." } tiles { type: DESCRIPTION - description: "Recon (https://www.reconcolombia.org): seeks to strengthen social enterprises that impact the sustainable economic and social development of vulnerable communities" + description: "- [*Recon*](https://www.reconcolombia.org): Seeks to strengthen social enterprises that impact the sustainable economic and social development of vulnerable communities." } tiles { type: DESCRIPTION - description: "Fundación Capital (https://www.fundacioncapital.org): seeks to improve the financial and economic life of socially vulnerable populations." + description: "- [*Fundación Capital*](https://www.fundacioncapital.org): Seeks to improve the financial and economic life of socially vulnerable populations." } } columns { tiles { type: DESCRIPTION - description: "In the search of expanding impacts and creating social awareness, these other organizations have linked a third ally to their work: open data. " + description: "In the search of expanding impacts and creating social awareness, these other organizations have linked a third ally to their work: open data." } tiles { type: DESCRIPTION - description: "Propacifico (https://propacifico.org) seeks to make visible through the use of open data the level of compliance with the SDGs in the country's municipalities through a monitoring platform, in order to promote the strengthening of actions in the lowest indicators." + description: "- [*Propacifico*](https://propacifico.org) seeks to make visible through the use of open data the level of compliance with the SDGs in the country's municipalities through a monitoring platform, in order to promote the strengthening of actions in the lowest indicators." } tiles { type: DESCRIPTION - description: "Alexander Von Humboldt Institute (http://humboldt.org.co) seeks to promote through open data collaboration in scientific and academic creation." + description: "- [*Alexander Von Humboldt Institute*](http://humboldt.org.co) seeks to promote through open data collaboration in scientific and academic creation." } tiles { type: DESCRIPTION - description: "Karisma Foundation (https://web.karisma.org.co) promotes the use of open data to guarantee human rights on the Internet, social inclusion and the democratization of knowledge." + description: "- [*Karisma Foundation*](https://web.karisma.org.co) promotes the use of open data to guarantee human rights on the Internet, social inclusion and the democratization of knowledge." } } } @@ -373,12 +384,24 @@ categories { columns { tiles { type: DESCRIPTION - description: "Although the impact of the work of social organizations in the country is undeniable, it is important to establish open data as a constant tool in their work. Using open data is essential for promoting economic development in countries as it enhances transparency, enables evidence-based decision making, drives economic growth and innovation, empowers communities, and facilitates collaboration. It is a powerful tool that can contribute to a more inclusive and sustainable Colombia. " + description: "Although the impact of the work of social organizations in the country is undeniable, it is important to establish open data as a constant tool in their work. Using open data is essential for promoting economic development in countries because it enhances transparency, enables evidence-based decision-making, drives economic growth and innovation, empowers communities, and facilitates collaboration. It is a powerful tool that can contribute to a more inclusive and sustainable Colombia." } } } - + blocks { + title: "Acknowledgements" + columns { + tiles { + type: DESCRIPTION + description: "Designed by: [Corporación Makaia Asesoría Internacional](https://makaia.org)" + } + tiles { + type: DESCRIPTION + description: "[![Makaia](/custom_dc/custom/images/topics/economic-and-social-growth/logo-makaia-web.png)](https://makaia.org)" + } + } + } } diff --git a/server/lib/util.py b/server/lib/util.py index a66ceb07f4..ce63c25242 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -52,7 +52,7 @@ 'dev': ['CA'], 'sdg': ['sdg'], 'foodsecurity' : ['USA', 'CA'], - 'dc2_1' : ['COL'], + 'economic-and-social-growth' : ['COL'], 'dc2_2' : ['NGA'], 'dc2_4' : ['USA'], 'playground' : ['US_Places'] diff --git a/static/custom_dc/custom/images/topics/economic-and-social-growth/logo-makaia-web.png b/static/custom_dc/custom/images/topics/economic-and-social-growth/logo-makaia-web.png new file mode 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zPL}N=erz|us|TEvt`dSzuw6c&jr?z4~Kn0YQR{b{6v-GV*ft{EF|NelrF>!I#l5%8T zcu48S&v56i`wl0exH8pNWqm1>C{UunzYzugKZxe99$ZWR4gdfE07*qoM6N<$f Date: Tue, 22 Aug 2023 23:10:55 -0700 Subject: [PATCH 25/84] Update git hash --- deploy/helm_charts/envs/techsoup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 17b19620ee..1e5fd3e715 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: ed58ccb + tag: d718ffd flaskEnv: custom replicas: 1 From 27732f604e6d3eea00642105e53c2947aa6c1557 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 22 Aug 2023 23:11:51 -0700 Subject: [PATCH 26/84] Add search bar and child places to topic page --- server/app_env/custom.py | 2 +- server/routes/topic_page/html.py | 26 ++++++++++++- server/templates/topic_page.html | 3 ++ static/css/topic_page.scss | 8 +++- .../topics/development-landscape/EDD1.jpeg | Bin 0 -> 9347 bytes .../development-landscape/nnngo-30th-logo.png | Bin 0 -> 24749 bytes static/js/apps/topic_page/app.tsx | 36 ++++++++++++++++++ static/js/apps/topic_page/main.ts | 16 +++++++- 8 files changed, 87 insertions(+), 4 deletions(-) create mode 100644 static/custom_dc/custom/images/topics/development-landscape/EDD1.jpeg create mode 100644 static/custom_dc/custom/images/topics/development-landscape/nnngo-30th-logo.png diff --git a/server/app_env/custom.py b/server/app_env/custom.py index 66e49d64d1..4a0f1c40a9 100644 --- a/server/app_env/custom.py +++ b/server/app_env/custom.py @@ -25,7 +25,7 @@ class Config(_base.Config): class LocalConfig(Config, local.Config): - LITE = True + #LITE = True API_ROOT = 'https://api.datacommons.org' # NEED TO DO THE FOLLOWING CHANGES: # 1. Send an email to to get an API key diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index 50634d2473..25b970c800 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -25,6 +25,11 @@ import server.lib.util as libutil import server.routes.shared_api.place as place_api import server.services.datacommons as dc +import logging + +# TechSoup - add search bar and child places +_TOPICS_TO_DISPLAY_SEARCH_BAR = ["dc2_4"] +_TOPICS_TO_SHOW_CHILD_PLACES = ["dc2_4"] _NL_DISASTER_TOPIC = 'nl_disasters' _SDG_TOPIC = 'sdg' @@ -140,6 +145,21 @@ def topic_page(topic_id=None, place_dcid=None): place_name = place_names[place_dcid] else: place_name = place_dcid + + # [TECHSOUP] call place_metadata function to get child places. TO DO: refactor to avoid redundant info returned by place_metadata + if topic_id in _TOPICS_TO_SHOW_CHILD_PLACES: + show_child_places = True + place_metadata = lib_subject_page_config.place_metadata(place_dcid) + place_children = place_metadata.child_places + else: + show_child_places = False + place_children = [] + + if topic_id in _TOPICS_TO_DISPLAY_SEARCH_BAR: + display_searchbar = True + else: + display_searchbar = False + return flask.render_template( 'topic_page.html', place_type=place_type, @@ -149,4 +169,8 @@ def topic_page(topic_id=None, place_dcid=None): topic_id=topic_id, topic_name=topic_place_config.metadata.topic_name or "", page_config=MessageToJson(topic_place_config), - topics_summary=topics_summary) + topics_summary=topics_summary, + show_child_places=json.dumps(show_child_places), + place_children=json.dumps(place_children), + display_searchbar=json.dumps(display_searchbar), + maps_api_key=current_app.config['MAPS_API_KEY']) diff --git a/server/templates/topic_page.html b/server/templates/topic_page.html index 5826fadde8..b89eb54efa 100644 --- a/server/templates/topic_page.html +++ b/server/templates/topic_page.html @@ -37,6 +37,8 @@
    +
    +
    {% endblock %} @@ -44,4 +46,5 @@ + {% endblock %} \ No newline at end of file diff --git a/static/css/topic_page.scss b/static/css/topic_page.scss index 60d4ef9d91..03839f4956 100644 --- a/static/css/topic_page.scss +++ b/static/css/topic_page.scss @@ -14,7 +14,12 @@ * limitations under the License. */ +/* TECHSOUP: Add searchbox and child places to topic page */ +@use "./base_subject_page"; +@use "./place/place_search"; + @use "./shared/subject_page"; + @import "./base"; @import "./draw"; @import "./draw_choropleth"; @@ -50,4 +55,5 @@ .page-selector-container h1 { margin-bottom: 0; padding-right: 0.5rem; -} \ No newline at end of file +} + diff --git a/static/custom_dc/custom/images/topics/development-landscape/EDD1.jpeg b/static/custom_dc/custom/images/topics/development-landscape/EDD1.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..2a5c439c8a48bf8b1ca383a63d5110eb0458b979 GIT binary patch literal 9347 zcmZWtc{o&W`#*Ndnl0-YqE=(2t`pCyNt4vkdb}gmy+xvl5K>vAcT~i z!8r3fdcW`Y{o{9^bDi^C=X%b4p3mpG*F&5p&H;=DI{G>Q2?+q`K?gvb2cBpLB5whJ zkr5yP001>WL2?ctgGMCK0g!M46o1D6U_iq4@7Rn)?4LQL01%4=$p4vR2i;Ev(tP^% zKX$*FpnIacKJ#Vfi?8+{`nR+kZM5{h>OTmOuY0hwPiit}oT~^l9H?X#`we#>qq8re{9SEiNtpTv=V)+1=Yez#kr+qJ-G} z4@l_x7w0Jma*F?6Ky-8=D3(^I zVBFkqo#MIYA8`K^Q&?nF^nY-rrltP}T0!AI;OZM1|H0SY^IwD$|An~l;~$XQ|Dv1) zGyysqnloq4(4Rd^&q8;Wj)k3xo}P)Fi}h5vxLDaCVddiF<>Tk$KNW?4 zg$OAjp{Ju`Vq#*4PIhJ%W_BJ9PEHOU5gs019v%_65FaE$a4|^{5fMo-X=ylITKeDD z|1%(d258Ct(#HfDS3yEqmAScH6Do6Ubh5&#v2}3UsH{oW z(lLH(&u&>#3OZ9e&ip2A)Ff+#dEBC1VHD0{d^JEW3uE@0G7U-eh@mHjB)iTBk*u z4yyoeEmnOd*}Ii-jC!S|rBM*o#_t{%jhEk67r~Wt+tPdsi4!aM7$|Hz=RC@BQ)Z=- zO-t5m!Y;p29+ibtJIZei@N|(kQWF}fG5KiVm8eO9zt>%ta;8$Yb9kd^t*d za~vs`WhBz%BEZ=kBEea>lS@HPag*xd!1)iCVnov3Z(~L=&^}jL3*I!PF2q@UD&v=% zRA$M3|MQ;M0EG={vkB>9pTsDeSLL9#HtI37$E^3|v$7^xGPNa&>*&m1o^4k7B_>84 zIkviMC&?LOSs*D>XKI(v32k62XL&lbJ<)Uq3K3)q*E5x5}PN9u#CHDS6p{$aB_!oS()YO2K*Pb z1yY&1NG7O@D1~Um7hC{KCO3~Rp+F(dCasVcU{9t zh6R-=0NE*Ol5w)aa_yJANEQZ{iNa`~Q@U+ekG&jG#3#w`#yDQ(QEY)hg&S#mLWXZ) zdGxEy@@a*IrdF~z`SbF(8Z!+k)Rrc;6y)K9be~>{L|f!dlo@HsqbAEI156<=;QqK0 zGaAm89b2eL5uk3VwsrS>viOY`moT_U(lYh(bK3H(`&+0}&14lY*FH+d^iGsZGK%jlXs9}8}DE!l>8Lyt$#b>f|& z)v(YtH%+9Ry3oWmijSnYo51I;aEw@WOlet>8A{T^Y*j!?qPVs$KQE3_D<)a%9BrLM zvZephgDdV7mZm1cS>l$gta2D3D&}~rDpR}j+@u|K7OO{i4vi3EXym8@AmHdq_jXbrl-D(1QNi6x+BDnf=)QaOZ zWcoyGAoCu>SQ??a)zeLBo~WC4<3!G!D_4&Y3AeUxm#$s zmTOm-OzWkai7C8fW=ZxGQGRM56Q*rsbj=0wQD?phI)f(`nA;}P&PHM;$h?$HXB5k= zcx^!%D3Vs_Xp2ln$x3jh(OTd>y{t`E&uHY7gaRTply*ocNH=u`mJct*IWyN1I z_@2n$5Ndj73g#8`jZHN1O0(6^ z8gJalehR62-&99M$vQ4K1hu;^tDc_2JKSj|WL9cO6Z&)-%kxs&DV%Jar8oU;aH|KU zE31TQk9xDwsHkU5x7GMW%a|%8^ixgqtYOQSeW;*CZ2eu$vJEZ&+@vn^`y7@-WMCL> zvgdG6Sy@@dL7GkX=6QxlyWPq=GGz93syEbcJ-u!|K^P9*3tdR9sE`Pt9V=26Ok2Y| z5*4v;AKCfYbkp`vYvWqC<|)(m9mD zVj$XJkM=*)*b5nm_<>NIOws*&{FvB3(^s3Ll3E?jXzXXOrFwjb4}LF$_ukcR$D zI*v|QN?cCsf!{aNh+UbsQ{zcQ^Nrl?zjvVf&6+$TbY=Y!+q32VFL2rZ*T+kV?T<1t zR9D<%Lgzu(4T2jUPFBQV3_2U}K|Hb5W{&X7q?$SuJu*$ zKl;{e)AncK&64WJ7tY%@2MO}R?jB$3xX^Vh{aPcIM#`$Cs-+U`O5+4?*!~vX{Kob8 zydjx-^4r^OA<9ROZa$7|l;flyUBCZ=YTZL`VGkay@JCEJWA{?aEGxP$+{^XADup!V zvs~dsw;bX(+BGpluqSzEE%QylTZP=7V{V2o98ocE#H)u+QrWRPaw8v`RpoN zgc?+uzlArC1|aHnBRE!tZtLs*=BngRrM}VAgT#TubmECL$U<-;euyusrKoTX?Ot-; z{pI-V?~dsT8(!N7Vc6;4&9hD+W{<=R>4bl@g6YjEvkyND?}~)h9l032iF|b>(pi?! zUWaHIio(ur_!0p%twZR-fVY7CWeh6i|1#z~?Xy1=d_aXf$$8I%dyM2ihGPUi6{s@| zSCR1_OYw{B7OImO+_t4hyNfiEkdU=I)|2Pm4%yy1mVc8f>gUz`StJfx!M?c^vU*

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z#{TFBgqUdfqxCyjIG7Y=M%X!Dp4^Ch$!}eRKhAvlTm-nP@-9w%XwABFjHCnJhYbAV z6kMFmPnFW3|2mTJo+F@>-3h&(M3m`twE-%%)fuZh;iSa{(SJVlElr>Fb~)pB^n&^7 zW>1xc5G;J5g0ngoD;f;c__JKw_Gj@VRBvE&fRA9+a%7jt_p6cg#m?7(_qXtp9OtCe zpLCDhcfJ)!hm9pwj2kW14`PGE-Q?NYgq$Ydv>j;mFP|x>2j);gwDj<1BIwvWi1bco z9oI+_t_=SxBFKKEjx5?y_Y zB#ot_rD9q$twt<5o{b``Ojl9{U3T z9#`LwqdLx#o5J^Xz7~hd>*4#h0SBiyH7XSXfnX03Thrkfn$XK$P+~hkKZz?Vt(1^X zUJ-MYumiedl2g>r?=(N6Qr{AB+r zaWr$T381%Tzb8wf&g*^pUY1KPMk^Cst`b!JfKM=oXC_DMY4p7sljGKgV8W50z8;;d zpt>YJ3ARLYBK~-}cQm$dw6882{~IRHDk987^pM+8x{RvG|9f^h )} + {props.topic !== "sdg" && props.showChildPlaces && ( + + )}

    + {props.showChildPlaces && ( +
    +
    +
    +
    + +
    +
    +
    + )} + { loadLocaleData("en", [import("../../i18n/compiled-lang/en/units.json")]).then( @@ -52,7 +55,12 @@ function renderPage(): void { const topicsSummary: TopicsSummary = JSON.parse( document.getElementById("topic-config").dataset.topicsSummary ); - + const showChildPlaces = JSON.parse(document.getElementById("topic-page-options").dataset.showChildPlaces); + const childPlaces: ChildPlacesByType = JSON.parse( + document.getElementById("place-children").dataset.pc + ); + const displaySearchbar = JSON.parse(document.getElementById("topic-page-options").dataset.displaySearchbar); + // TODO(beets): use locale from URL const locale = "en"; loadLocaleData(locale, [ @@ -74,7 +82,13 @@ function renderPage(): void { topic, pageConfig, topicsSummary, + showChildPlaces, + childPlaces, + displaySearchbar }), document.getElementById("body") ); + + // Load this after the place-autocomplete input is rendered. + initSearchAutocomplete(`/topic/${topic}`); } From 50654acc19ab69eaca6b0662be7a6a731f9cc280 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 22 Aug 2023 23:12:08 -0700 Subject: [PATCH 27/84] Update DC2_2 topic page --- server/config/topic_page/dc2_2/NGA.textproto | 215 +++++++++++++------ 1 file changed, 155 insertions(+), 60 deletions(-) diff --git a/server/config/topic_page/dc2_2/NGA.textproto b/server/config/topic_page/dc2_2/NGA.textproto index 35d35480f1..147dc2b733 100644 --- a/server/config/topic_page/dc2_2/NGA.textproto +++ b/server/config/topic_page/dc2_2/NGA.textproto @@ -16,7 +16,7 @@ metadata { topic_id: "dc2_2" - topic_name: "Health Factors" + topic_name: "Development Landscape" place_dcid: "country/NGA" contained_place_types { key: "Country" @@ -27,7 +27,7 @@ metadata { categories { title: "Life Expectancy" - description: "The life expectancy in Nigeria is at an all time high of 52.9 years as at 2022 , the highest since 1960 when the country gained independence. At independence life expectancy was 37.4 years. Into the millennium (200) it was 47.2 years. What is driving this increment? Could it be as a result of a healthier lifestyle?" + description: "The life expectancy in Nigeria is at an all time high of 52.9 years as at 2022 , the highest since 1960 when the country gained independence. At independence life expectancy was 37.4years. Into the millennium (200) it was 47.2 years. What is driving this improvement? We see that infant mortality is steadily declining" blocks { columns { @@ -40,8 +40,8 @@ categories { columns { tiles { type: LINE - title: "Mortality Rates for Common Conditions in ${placeName}" - stat_var_key: "mortalityRates" + title: "Infant mortality under 1 year old in ${placeName}" + stat_var_key: "infantMortalityRate" } } } @@ -55,28 +55,92 @@ categories { } stat_var_spec { - key: "mortalityRates" + key: "infantMortalityRate" value { - stat_var: "sdg/SH_DTH_NCOM_30-70" - name: "Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease: 30 to 70 years old" + stat_var: "sdg/SH_DYN_IMRT.AGE--Y0" + name: "Infant motality rate (Age = under 1 year old)" } } + + blocks { + columns { + tiles { + type: LINE + title: "Deaths from common diseases in ${placeName}" + stat_var_key: "sdg/SH_DTH_NCOM.AGE--Y30T70" + } + } + columns { + tiles { + type: LINE + title: "Access to clean water in ${placeName}" + stat_var_key: "sdg/SH_H2O_SAFE" + } + } + } + + stat_var_spec { + key: "sdg/SH_DTH_NCOM.AGE--Y30T70" + value { + stat_var: "sdg/SH_DTH_NCOM.AGE--Y30T70" + name: "Mortality Rate Attributed To Cardiovascular Disease, Cancer, Diabetes or Chronic Respiratory Disease With Age = 30 to 70 Years Old" + unit: "%" + } + } + + stat_var_spec { + key: "sdg/SH_H2O_SAFE" + value { + stat_var: "sdg/SH_H2O_SAFE" + name: "Proportion of population using safely managed drinking water services" + unit: "%" + } + } } categories { title: "COVID Impact" - description: "Covid deaths recorded in Nigeria stood at 3,155 people from 267,000 confirmed cases in 2023. For countries with high populations such as Nigeria, confirmed cases remained high including deaths. For example the United States has 103 million confirmed cases and 1,135,343 deaths. Could the numbers be attributed to the growing population which is known to increase the risk of pandemics?" - + description: "Covid deaths recorded in Nigeria stood at 3,155 people from 267,000 confirmed cases in 2023. For countries with high populations such as Nigeria, confirmed cases remained high including deaths. For example the United States has 103 million confirmed cases and 1,135,343 deaths. As of the end of 2022, the vaccination rate in Nigeria was under 7%. Given its poor health infrastructure, what could have kept the numbers low for Nigeria and many other countries in Africa?" + blocks { columns { tiles { - type: LINE - title: "Deaths in ${placeName} due to COVID-19" + type: DESCRIPTION + description: "A [research project](https://healthpolicy.fsi.stanford.edu/news/how-has-africa-largely-evaded-covid-19-pandemic-0) from a group led by a Nigerian doctor at Stanford University identified five possible factors:\n* Limited seeding (less air travel)\n* Power of the young age group\n* Exposure to previous infectious diseases\n* Population density\n* Prevalence of associated comorbid conditions" + } + } + } + + blocks { + columns { + tiles { + type: HIGHLIGHT + description: "Cumulative COVID-19 Deaths in ${placeName}" stat_var_key: "covidDeaths" } } } + blocks { + columns { + tiles { + type: HIGHLIGHT + description: "Total Population in ${placeName}" + stat_var_key: "Count_Person" + } + } + } + + blocks { + columns { + tiles { + type: HIGHLIGHT + description: "COVID-19 Deaths per 100,000 people in ${placeName}" + stat_var_key: "covidDeaths_pc" + } + } + } + stat_var_spec { key: "covidDeaths" value { @@ -84,89 +148,112 @@ categories { name: "Cumulative Count of COVID-19 Deaths" } } + + stat_var_spec { + key: "covidDeaths_pc" + value { + stat_var: "CumulativeCount_MedicalConditionIncident_COVID_19_PatientDeceased" + name: "Cumulative Count of COVID-19 Deaths" + denom: "Count_Person" + scaling: 100000 + } + } + + stat_var_spec { + key: "Count_Person" + value { + stat_var: "Count_Person" + name: "Total Population" + } + } } categories { - title: "Fertility and Education" - description: "At independence (1960) fertility rate in NIgeria was 6.36, into the millennium there was a decrease, settling at 6.12 in 2000 and continued to witness a decline. A fertility rate of 5.32 in 2020 still puts Nigeria on the path of an increasing population growth (Globally the average fertility rate is 2.3.) Could the decline be as a result of education?" + title: "Population Growth" + description: "Nigeria’s population has grown rapidly since independence, but the growth rate has varied considerably. The growth rate peaked in 1980 at 3.06%, which was followed by a sharp decline around 1985. It remained steady until around 2010, but has been steadily declining since then. The growth rate is expected to continue to decline, but despite this Nigeria is projected to have a population of over 375 million people by 2050" blocks { columns { tiles { type: LINE - title: "Fertility Rate in ${placeName}" - stat_var_key: "fertilityRate" + title: "Population Growth Rate in ${placeName}" + stat_var_key: "populationGrowthRate" } } columns { tiles { type: LINE - title: "Lower Secondary Education in ${placeName}" - stat_var_key: "completionRate" + title: "Population Growth in ${placeName}" + stat_var_key: "population" } } + + } stat_var_spec { - key: "fertilityRate" + key: "population" value { - stat_var: "FertilityRate_Person_Female" - name: "Fertility Rate" + stat_var: "Count_Person" + name: "Total Population" } } stat_var_spec { - key: "completionRate" + key: "populationGrowthRate" value { - stat_var: "sdg/SE_TOT_CPLR_LOWSEC" - name: "Completion rate: Lower secondary" + stat_var: "GrowthRate_Count_Person" + name: "Rate of Population Growth" } } } + categories { - title: "Population Growth" - description: "National population growth rate peaked in 1980 at 3.06, but after a period of fast population growth during this time, rates have continued to decline up until 1985 when there was a steep rise (2.73) and has fallen further to 2.41 in 2021." + title: "Fertility and Education" + description: "At independence (1960) fertility rate in Nigeria was 6.36, into the millennium there was a decrease, settling at 6.12 in 2000 and continued to witness a decline. A fertility rate of 5.32 in 2020 still puts Nigeria on the path of an increasing population growth (Globally the average fertility rate is 2.3.) At the same time, Nigeria has been making progress towards broader access to education. What is the relationship between birth rates and education, especially for women?" blocks { columns { tiles { type: LINE - title: "Population Growth in ${placeName}" - stat_var_key: "population" + title: "Fertility Rate in ${placeName}" + stat_var_key: "fertilityRate" } } columns { tiles { type: LINE - title: "Population Growth Rate in ${placeName}" - stat_var_key: "populationGrowthRate" + title: "Lower Secondary Education in ${placeName}" + stat_var_key: "completionRate" } } } stat_var_spec { - key: "population" + key: "fertilityRate" value { - stat_var: "Count_Person" - name: "Total Population" + stat_var: "FertilityRate_Person_Female" + name: "Fertility Rate" } } stat_var_spec { - key: "populationGrowthRate" + key: "completionRate" value { - stat_var: "GrowthRate_Count_Person" - name: "Rate of Population Growth" + stat_var: "sdg/SE_TOT_CPLR.EDUCATION_LEV--ISCED11_2" + name: "Completion rate: Lower secondary" + unit: "%" } } } + categories { title: "GDP and Consumption" - description: "At a Gross Domestic Product (GDP) growth rate of 3.65 in 2021 and a population growth of 2.41 the same year, More recent data indicates that population is now rising faster than GDP. The country is in an uncomfortable pattern of a population that may soon rise faster than its economy since population growth leads to increase in human activity, consumption and scramble for resources. How does this affect consumption?" + description: "In 2021 the Gross Domestic Product (GDP) of Nigera grew faster than the population (3.65% vs 2.41%). However, according to the World Bank “The economy is projected to grow by an average of 2.9% per year between 2023 and 2025, only slightly above the estimated population growth rate of 2.4%” The country is in an uncomfortable position where the population may soon rise faster than its economy. In this case the translation of economic growth into an enhancement of the average standard of living appears to be less probable. What happens then?" blocks { columns { @@ -180,8 +267,8 @@ categories { columns { tiles { type: LINE - title: "Domestic Material Consumption in ${placeName}" - stat_var_key: "domesticMaterialConsumption" + title: "Population Growth Rate in ${placeName}" + stat_var_key: "populationGrowthRate" } } } @@ -201,28 +288,36 @@ categories { name: "Domestic material consumption" } } + + stat_var_spec { + key: "populationGrowthRate" + value { + stat_var: "GrowthRate_Count_Person" + name: "Rate of Population Growth" + } + } } +categories { + blocks { + columns { + tiles { + type: DESCRIPTION + description: "## ACKNOWLEDGEMENTS" + } + tiles { + type: DESCRIPTION + description: "Designed by:\n\nOyebisi Babatunde Oluseyi\n\nExecutive Director\n\n[Nigeria Network of NGOs](https://nnngo.org/)" + } + tiles { + type: DESCRIPTION + description: "[![NNNGO](/custom_dc/custom/images/topics/development-landscape/nnngo-30th-logo.png)](https://nnngo.org)" + } -#categories { -# title: "Category_Title_Goes_Here" -# description: "Category_Description_Goes_Here" -# -# blocks { -# columns { -# tiles { -# type: LINE -# title: "TILE_TITLE_GOES_HERE" -# stat_var_key: "STAT_VAR_KEY_GOES_HERE" -# } -# } -# } -# -# stat_var_spec { -# key: "STAT_VAR_KEY_GOES_HERE" -# value { -# stat_var: "STAT_VAR_GOES_HERE" -# name: "STAT_VAR_NAME_GOES_HERE" -# } -# } -#} \ No newline at end of file + tiles { + type: DESCRIPTION + description: "![Oyebisi Babatunde Oluseyi](/custom_dc/custom/images/topics/development-landscape/EDD1.jpeg)" + } + } + } +} \ No newline at end of file From 53c9f985980a58b31d88ee8d7892623ea4cb1c4a Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 22 Aug 2023 23:12:22 -0700 Subject: [PATCH 28/84] Update DC2.4 topic page --- server/config/topic_page/dc2_4/USA.textproto | 375 ++++++++++++------- 1 file changed, 232 insertions(+), 143 deletions(-) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto index 91dd66893c..eb66472668 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -17,10 +17,12 @@ metadata { topic_id: "dc2_4" topic_name: "Food Security" - place_group { - parent_place: "Earth" - place_type: "Country" - } +# place_group { +# parent_place: "Earth" +# place_type: "Country" +# } + + place_dcid: "country/USA" place_group { parent_place: "country/USA" place_type: "State" @@ -44,49 +46,52 @@ metadata { } categories { - title: "Poverty in the United States" + title: "Poverty" + +#------- FOOD ASSISTANCE -------# ### NEW BLOCK ### blocks { - title: "Supplemental Nutrition Assistance Program (SNAP) per capita" + description: "Food assistance programs address food insecurity in a variety of ways by providing critical resources, such as bulk food, prepared meals, community gardens, subsidized or free groceries, and other local community efforts. These safety net programs during times of financial hardship or emergencies help families stabilize by providing financial assistance and access to balanced, nutritional meals. " columns { tiles { - type: MAP - title: "Households Receiving Food Stamps in the Past Year Per Capita ${date}" - stat_var_key: "Count_Household_WithFoodStampsInThePast12Months" + type: HIGHLIGHT + description: "Households in the United States live in poverty but do not receive food assistance (SNAP)" + stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + } + } + columns { + tiles { + type: LINE + title: "Number of Households in Poverty and Not Receiving SNAP" + stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" } } } stat_var_spec { - key: "Count_Household_WithFoodStampsInThePast12Months" + key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" value { - stat_var: "Count_Household_WithFoodStampsInThePast12Months" - name: "Count_Household_WithFoodStampsInThePast12Months" + stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + name: "Households Not Receiving Food Stamps in Last Year, Income Below Poverty Level" } } ### NEW BLOCK ### blocks { - title: "Number of people living in poverty" columns { - tiles { - type: HIGHLIGHT - description: "People below the poverty line in ${placeName} ${date}" - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" - } tiles { type: RANKING ranking_tile_spec { show_highest: true - show_lowest: false + show_lowest: true } stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } } columns { tiles { - type: LINE - description: "Number of People Below the Poverty Line ${date}" + type: MAP + title: "Population Below Poverty Level Status in Past Year ${date}" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } } @@ -95,33 +100,47 @@ categories { key: "Count_Person_BelowPovertyLevelInThePast12Months" value { stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" - name: "Population below poverty line" + name: "Population Below Poverty Level" } } ### NEW BLOCK ### blocks { - title: "Poverty per capita" columns { tiles { - title: "Population Living In Poverty Per Capita ${date}" + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" + } + } + columns { + tiles { type: MAP - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pc" + title: "% of Population Below Poverty Level ${date}" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" } } } stat_var_spec { - key: "Count_Person_BelowPovertyLevelInThePast12Months_pc" + key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" value { stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" denom: "Count_Person" - name: "Population below poverty line" + name: "% of Population Below Poverty Level" + scaling: 100 + unit: "%" } } + #------- MEDIAN INCOME -------# + ### NEW BLOCK ### blocks { title: "Median Income" + description: "Income and the cost of living can help us understand where and how food insecurity impacts communities at the local level. Often, though, communities with higher costs of living result in some populations living below the poverty line and having low access to balanced, nutritional meals." columns { tiles { title: "Median Income for All Households ${date}" @@ -129,6 +148,13 @@ categories { stat_var_key: "Median_Income_Household" } } + columns { + tiles { + title: "Median Gross Rent of Housing Unit: With Cash Rent ${date}" + type: MAP + stat_var_key: "Median_GrossRent_HousingUnit_WithCashRent_OccupiedHousingUnit_RenterOccupied" + } + } } stat_var_spec { key: "Median_Income_Household" @@ -137,10 +163,27 @@ categories { name: "Median Income for All Households" } } + stat_var_spec { + key: "Median_GrossRent_HousingUnit_WithCashRent_OccupiedHousingUnit_RenterOccupied" + value { + stat_var: "Median_GrossRent_HousingUnit_WithCashRent_OccupiedHousingUnit_RenterOccupied" + name: "Median Gross Rent of Housing Unit: With Cash Rent" + } + } + +#------- POVERTY AND UNEMPLOYMENT -------# ### NEW BLOCK ### blocks { - title: "Unemployment Rate" + title: "Poverty and Unemployment" + description: "Unemployment can impact families in a variety of difficult ways, including needing to prioritize bills over groceries. Policies and programs that support individuals in finding stable employment can play a significant role in alleviating food insecurity. However, fluctuations in income — even among those who are employed — can lead to food insecurity. Unemployment and poverty both speak to how difficult it is for households to consistently meet their household's nutritional needs." + columns { + tiles { + type: MAP + title: "% of Population Below Poverty Level ${date}" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" + } + } columns { tiles { title: "Unemployment Rate of a Population ${date}" @@ -157,42 +200,79 @@ categories { } } +#------- LANGUAGE -------# + ### NEW BLOCK ### blocks { - title: "Language Spoken At Home" + title: "Language" + columns { + tiles { + type: HIGHLIGHT + description: "Working Age Adults Who Do Not Speak English At Home" + stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" + } + } + columns { + tiles { + title: "Working Age Adults Who Do Not Speak English At Home" + type: LINE + stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" + } + } + } + blocks { + columns { + tiles { + type: DESCRIPTION + description: "Language proficiency can play a role in food security. Finding and accessing assistance programs can be challenging when a person does not read or write in English. Understanding the language spoken at home can also help food security organizations — like pantries — tailor their offerings and materials to fit the language and culture of a community. " + } + } columns { tiles { - title: "Working Age Adults Who Do Not Speak English At Home Per Capita ${date}" + title: "Percentage of Working Age Adults Who Do Not Speak English At Home ${date}" type: MAP - stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pc" + stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pct" } } } stat_var_spec { - key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pc" + key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" + value { + stat_var: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" + name: "Population: 18-64 Years, Language Other Than English Per Capita" + } + } + stat_var_spec { + key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pct" value { stat_var: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" name: "Population: 18-64 Years, Language Other Than English Per Capita" denom: "Count_Person" + scaling: 100 + unit: "%" } } +#------- SINGLE MOTHER HOUSEHOLDS -------# + ### NEW BLOCK ### blocks { title: "Single Mother Households" + description: "Single mother households often face exacerbated economic difficulties. Often their households operate with less income and must balance professional work with caregiving responsibilities. When single caregivers rely on day care services, they are left with less income to provide sufficient and nutritious food for their household." columns { tiles { type: HIGHLIGHT - description: "Households in ${placeName} are single mother households" + description: "Of households are single mother households" stat_var_key: "Count_Household_SingleMotherFamilyHousehold_pct" } } columns { tiles { - type: LINE + type: BAR description: "Number of Single Mother Households ${date}" stat_var_key: "Count_Household_SingleMotherFamilyHousehold" stat_var_key: "Count_Household_FamilyHousehold" + comparison_places: "self" } } } @@ -228,44 +308,48 @@ categories { categories { title: "Health and Nutrition" +#------- COMMUNITY FOOD SERVICES AND GROCERY STORES -------# + ### NEW BLOCK ### blocks { title: "Community Food Services" columns { tiles { - title: "Number of Community Food Services ${date}" + title: "Count of Establishment: Community Food Services (NAICS/62421) ${date}" type: MAP stat_var_key: "dc/7dcmzwydmtet5" } + } + columns { tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - show_lowest: true - } - stat_var_key: "dc/7dcmzwydmtet5" + type: DESCRIPTION + description: "Community food services (food banks, pantries, meal programs, gardens, and other social services programs related to food) provide crucial and immediate access to food for households facing food insecurity. These programs play a critical role in providing immediate relief, promoting nutrition, and building community resilience to address food insecurity at the local level. Highly populated areas may have easier access to these services than more rural areas, which might make it difficult for food services to reach residents in need. Even when there are community food services available, there may be a cultural stigma discouraging individuals from receiving these services." } } } - stat_var_spec { - key: "dc/7dcmzwydmtet5" - value { - stat_var: "dc/7dcmzwydmtet5" - name: "Count of Establishment: Community Food Services (NAICS/62421)" - } - } - - ### NEW BLOCK ### blocks { - title: "Grocery Store Owners" columns { tiles { - title: "Number of Grocery Store Owners ${date}" + type: DESCRIPTION + description: "Having more grocery store owners means greater availability of fresh produce and food options, reduces food deserts, and increases competition that drives lower prices. With more stores available, it is more likely that a grocer is nearby, which is important for those who lack access to a vehicle or public transportation.\n\nWhat other factors could provide us with an understanding of food availability in a region?" + } + } + columns { + tiles { + title: "Population of Person: Privately Owned, Grocery Stores (NAICS/4451) ${date}" type: MAP stat_var_key: "dc/cc51jvbvp0jdf" } } } + stat_var_spec { + key: "dc/7dcmzwydmtet5" + value { + stat_var: "dc/7dcmzwydmtet5" + name: "Count of Establishment: Community Food Services (NAICS/62421)" + } + } + stat_var_spec { key: "dc/cc51jvbvp0jdf" value { @@ -274,9 +358,11 @@ categories { } } + #------- LIFE EXPECTANCY AND HEALTH INSURANCE -------# + ### NEW BLOCK ### blocks { - title: "Life Expectancy" + title: "Life Expectancy and Health Insurance" columns { tiles { title: "Life Expectancy ${date}" @@ -284,6 +370,12 @@ categories { stat_var_key: "LifeExpectancy_Person" } } + columns { + tiles { + type: DESCRIPTION + description: "Access to an adequate and nutritious diet is crucial for maintaining good health and well-being. Food insecurity leads to a poor diet and contributes to a range of physical and mental health issues, and these health challenges impact life expectancy. Food insecurity is often rooted in poverty and socioeconomic disparities. Low-income households may face barriers to accessing healthcare and health insurance, education, safe housing, and other resources that influence overall health and life expectancy." + } + } } stat_var_spec { key: "LifeExpectancy_Person" @@ -295,36 +387,32 @@ categories { ### NEW BLOCK ### blocks { - title: "Health Insurance" columns { tiles { - title: "Population Without Health Insurance Per Capita ${date}" - type: MAP - stat_var_key: "Count_Person_NoHealthInsurance_pc" + type: DESCRIPTION + description: "Lack of access to health insurance and healthcare can contribute to a cycle of poor health and poverty. Having a health emergency without health insurance is costly, can put you into a debt cycle, and can create challenges to getting nutritious food. Additionally, preventative care – which is generally inexpensive with health insurance – helps avoid costly health procedures in the future. Being in a situation that foregoes preventative care costs families more in the long run." } + } + columns { tiles { - title: "Median Income for Households Without Health Insurance versus Number of People Below the Poverty Line" - type: SCATTER - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" - stat_var_key: "Median_Income_Household_NoHealthInsurance" + title: "% Population Without Health Insurance ${date}" + type: MAP + stat_var_key: "Count_Person_NoHealthInsurance_pct" } } } + stat_var_spec { - key: "Count_Person_NoHealthInsurance_pc" + key: "Count_Person_NoHealthInsurance_pct" value { stat_var: "Count_Person_NoHealthInsurance" name: "Population Without Health Insurance Per Capita" denom: "Count_Person" + scaling: 100 + unit: "%" } } - stat_var_spec { - key: "Median_Income_Household_NoHealthInsurance" - value { - stat_var: "Median_Income_Household_NoHealthInsurance" - name: "Median Income for Households Without Health Insurance" - } - } + stat_var_spec { key: "Count_Person_BelowPovertyLevelInThePast12Months" value { @@ -335,67 +423,73 @@ categories { ### NEW BLOCK ### blocks { - title: "Health Conditions and Poverty" columns { tiles { - title: "Percent Population With Poor Physical Health and Below the Poverty Line" - type: SCATTER - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" - stat_var_key: "Percent_Person_WithPhysicalHealthNotGood" + title: "Percentage of Population That Has Received an Annual Checkup ${date}" + type: MAP + stat_var_key: "Percent_Person_ReceivedAnnualCheckup" } + } + columns { tiles { - title: "Percent Population With High Blood Pressure and Below the Poverty Line" - type: SCATTER - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" - stat_var_key: "Percent_Person_WithHighBloodPressure" + type: DESCRIPTION + description: "Health insurance provides individuals with access to preventative health services, including annual checkups. These checkups are essential for detecting and addressing health issues early, which can lead to better health outcomes and reduced healthcare costs in the long run. Health insurance coverage can make annual health checkups more affordable, encouraging individuals to seek regular medical care." } + } + } + + stat_var_spec { + key: "Percent_Person_ReceivedAnnualCheckup" + value { + stat_var: "Percent_Person_ReceivedAnnualCheckup" + name: "Percentage of Population That Has Received an Annual Checkup" + } + } + + #------- HEALTH CONDITIONS -------# + + ### NEW BLOCK ### + blocks { + title: "Health Conditions" + description: "Food insecurity often leads to limited access to nutritious foods, which can result in a diet that is high in unhealthy, processed foods and low in heart-healthy foods such as fruits, vegetables, whole grains, and lean proteins. This type of diet increases the risk of developing type 2 diabetes and developing factors for coronary heart disease, such as high blood pressure, high cholesterol, and obesity. Furthermore, developing these conditions can lead to increased healthcare costs, perpetuating and exacerbating the cycle of food insecurity.." + columns { tiles { - title: "Percent Population With Heart Disease and Below the Poverty Line" - type: SCATTER - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" - stat_var_key: "Percent_Person_WithCoronaryHeartDisease" + title: "Percent Population With Diabetes" + type: MAP + stat_var_key: "Percent_Person_WithDiabetes" } } columns { tiles { - title: "Percent Population With Diabetes and Below the Poverty Line" - type: SCATTER - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + type: HIGHLIGHT + description: "Of the population has diabetes" stat_var_key: "Percent_Person_WithDiabetes" } + } + } + blocks { + columns { tiles { - title: "Percent Population With High Cholesterol and Below the Poverty Line" - type: SCATTER - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" - stat_var_key: "Percent_Person_WithHighCholesterol" + title: "Percent Population With Coronary Heart Disease" + type: MAP + stat_var_key: "Percent_Person_WithCoronaryHeartDisease" } + } + columns { tiles { - title: "Percent Population With Cancer and Below the Poverty Line" - type: SCATTER - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" - stat_var_key: "Percent_Person_WithCancerExcludingSkinCancer" + type: HIGHLIGHT + description: "Of the population has coronary heart disease" + stat_var_key: "Percent_Person_WithCoronaryHeartDisease" } } } - stat_var_spec { - key: "Percent_Person_WithPhysicalHealthNotGood" - value { - stat_var: "Percent_Person_WithPhysicalHealthNotGood" - name: "Percentage of Population With Poor Physical Health" - } - } - stat_var_spec { - key: "Percent_Person_WithHighBloodPressure" - value { - stat_var: "Percent_Person_WithHighBloodPressure" - name: "Percentage of Population With Poor Physical Health" - } - } + stat_var_spec { key: "Percent_Person_WithCoronaryHeartDisease" value { stat_var: "Percent_Person_WithCoronaryHeartDisease" name: "Percentage of Population With Coronary Heart Disease" + unit: "%" } } stat_var_spec { @@ -403,38 +497,18 @@ categories { value { stat_var: "Percent_Person_WithDiabetes" name: "Percentage of Population With Diabetes" + unit: "%" } } - stat_var_spec { - key: "Percent_Person_WithHighCholesterol" - value { - stat_var: "Percent_Person_WithHighCholesterol" - name: "Percentage of Population With High Cholesterol" - } - } - stat_var_spec { - key: "Percent_Person_WithCancerExcludingSkinCancer" - value { - stat_var: "Percent_Person_WithCancerExcludingSkinCancer" - name: "Percentage of Population With Cancer" - } - } - stat_var_spec { - key: "Count_Person_BelowPovertyLevelInThePast12Months" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" - name: "Population Below Poverty Level Status in Past Year" - } - } - } categories { - title: "Farming" + title: "Farming and Climate" ### NEW BLOCK ### blocks { title: "Farms" + description: "The number of farms and crop coverage are factors that influence food security by proxy. While they are not direct indicators of food insecurity, they are part of the broader agricultural landscape that contributes to food availability, affordability, and access. In some cases, farms may prioritize exporting crops over the cultivation of diverse and nutritious foods for local consumption. Prioritizing crop exports — and instead focusing on importing foods — can make local food systems vulnerable to global market fluctuations and global supply chain disruptions. Additionally, if the prices of imported foods increase, it can impact local economies and potentially hinder food affordability and access." columns { tiles { type: HIGHLIGHT @@ -471,6 +545,7 @@ categories { ### NEW BLOCK ### blocks { title: "Farm Areas" + description: "Silage and forage are crops that are grown specifically to feed livestock, including cows, and are an essential component of cattle farming. Having sufficient land dedicated to silage and forage production can support a healthy, productive, and sustainable cattle population, which in turn contributes to food security by ensuring a consistent supply of meat and dairy products to these communities. Especially during periods of drought, crop failure, or other disasters, having dedicated land for cattle and feed ensures consistent supply of animal-based foods to communities in the face of potential agricultural disasters." columns { tiles { title: "Percent of Crop Covered Area ${date}" @@ -526,6 +601,7 @@ categories { ### NEW BLOCK ### blocks { title: "Farm Production" + description: "Irrigation and depleting water sources play an increasingly critical role on farms. Crops vary in their dependence on irrigation, with many vegetables and more sensitive grains being completely reliant on supplementary water to survive harsh summers. Other crops require supplemental water from irrigation to be economically viable, but are unlikely to die or completely fail without it. With climate change impacting access to reliable irrigation, how will farmers need to adapt to this depleting resource?" columns { tiles { title: "Area of Irrigated Lands on Farms ${date}" @@ -569,7 +645,8 @@ categories { ### NEW BLOCK ### blocks { - title: "Farm Equipment" + title: "Farm Equipment and Subsidies" + description: "The U.S. government has subsidized farmers through direct cash payments and other measures since 1933. How do higher equipment costs impact new farmers?" columns { tiles { title: "Mean Market Value of Farm Machinery and Equipment ${date}" @@ -591,6 +668,7 @@ categories { categories { title: "Climate and Agriculture" + description: "Climate change is an increasingly significant development for farmers. Heat waves are just one factor that can lead to crop loss. Below you see a map exploring the rate of heat waves experienced by a population in a given region. What decisions will farmers have to make to address more frequent heat events?" ### NEW BLOCK ### blocks { @@ -670,26 +748,37 @@ categories { } - categories { - title: "Explore More" - ### NEW BLOCK ### blocks { - title: "See data for your state" columns { tiles { type: DESCRIPTION - description: "* [Alabama](../geoId/01)\n* [Alaska](../geoId/02)\n* [Arizona](../geoId/04)\n* [Arkansas](../geoId/05)\n* [California](../geoId/06)\n* [Colorado](../geoId/08)\n* [Connecticut](../geoId/09)\n* [Delaware](../geoId/10)\n* [Florida](../geoId/12)\n* [Georgia](../geoId/13)\n* [Hawaii](../geoId/15)\n* [Idaho](../geoId/16)\n* [Illinois](../geoId/17)\n* [Indiana](../geoId/18)\n* [Iowa](../geoId/19)\n* [Kansas](../geoId/20)\n* [Kentucky](../geoId/21)\n* [Louisiana](../geoId/22)\n* [Maine](../geoId/23)\n* [Maryland](../geoId/24)\n* [Massachusetts](../geoId/25)\n* [Michigan](../geoId/26)\n* [Minnesota](../geoId/27)\n* [Mississippi](../geoId/28)\n* [Missouri](../geoId/29)" + description: "It is important to note that the dryer, warmer future is only one component of how climate change is expected to affect our food systems. The increasing severity of storms, massive flooding events, and other changing climate factors affect our ability to produce food. These events not only impact food production where they occur, they also drive up the demand for food and other resources as people are displaced and try to recover.\nIn summary, improving food security depends on careful planning and policy considerations. Food security is a multifaceted issue influenced by a wide range of factors, including income levels, access to markets, food distribution systems, government policies, social safety nets, education, health, sustainable agricultural practices, climate resilience, and more. " } } - columns { - tiles { - type: DESCRIPTION - description: "* [Montana](../geoId/30)\n* [Nebraska](../geoId/31)\n* [Nevada](../geoId/32)\n* [New Hampshire ](../geoId/33)\n* [New Jersey ](../geoId/34)\n* [New Mexico ](../geoId/35)\n* [New York ](../geoId/36)\n* [North Carolina ](../geoId/37)\n* [North Dakota ](../geoId/38)\n* [Ohio](../geoId/39)\n* [Oklahoma ](../geoId/40)\n* [Oregon](../geoId/41)\n* [Pennsylvania](../geoId/42)\n* [Rhode Island](../geoId/44)\n* [South Carolina](../geoId/45)\n* [South Dakota ](../geoId/46)\n* [Tennessee](../geoId/47)\n* [Texas](../geoId/48)\n* [Utah](../geoId/49)\n* [Vermont](../geoId/50)\n* [Virginia](../geoId/51)\n* [Washington](../geoId/53)\n* [West Virginia ](../geoId/54)\n* [Wisconsin](../geoId/55)\n* [Wyoming](../geoId/56)" - } - } - } } +#categories { +# title: "Explore More" +# +# ### NEW BLOCK ### +# blocks { +# title: "See data for your state" +# columns { +# tiles { +# type: DESCRIPTION +# description: "* [Alabama](../geoId/01)\n* [Alaska](../geoId/02)\n* [Arizona](../geoId/04)\n* [Arkansas](../geoId/05)\n* [California](../geoId/06)\n* [Colorado](../geoId/08)\n* [Connecticut](../geoId/09)\n* [Delaware](../geoId/10)\n* [Florida](../geoId/12)\n* [Georgia](../geoId/13)\n* [Hawaii](../geoId/15)\n* [Idaho](../geoId/16)\n* [Illinois](../geoId/17)\n* [Indiana](../geoId/18)\n* [Iowa](../geoId/19)\n* [Kansas](../geoId/20)\n* [Kentucky](../geoId/21)\n* [Louisiana](../geoId/22)\n* [Maine](../geoId/23)\n* [Maryland](../geoId/24)\n* [Massachusetts](../geoId/25)\n* [Michigan](../geoId/26)\n* [Minnesota](../geoId/27)\n* [Mississippi](../geoId/28)\n* [Missouri](../geoId/29)" +# } +# } +# columns { +# tiles { +# type: DESCRIPTION +# description: "* [Montana](../geoId/30)\n* [Nebraska](../geoId/31)\n* [Nevada](../geoId/32)\n* [New Hampshire ](../geoId/33)\n* [New Jersey ](../geoId/34)\n* [New Mexico ](../geoId/35)\n* [New York ](../geoId/36)\n* [North Carolina ](../geoId/37)\n* [North Dakota ](../geoId/38)\n* [Ohio](../geoId/39)\n* [Oklahoma ](../geoId/40)\n* [Oregon](../geoId/41)\n* [Pennsylvania](../geoId/42)\n* [Rhode Island](../geoId/44)\n* [South Carolina](../geoId/45)\n* [South Dakota ](../geoId/46)\n* [Tennessee](../geoId/47)\n* [Texas](../geoId/48)\n* [Utah](../geoId/49)\n* [Vermont](../geoId/50)\n* [Virginia](../geoId/51)\n* [Washington](../geoId/53)\n* [West Virginia ](../geoId/54)\n* [Wisconsin](../geoId/55)\n* [Wyoming](../geoId/56)" +# } +# } +# +# } +#} + From a0b63449e6248913401b91b8f7a06c305dfdd4c6 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 23 Aug 2023 21:33:15 -0700 Subject: [PATCH 29/84] Remove date from highlight tile --- static/js/components/tiles/highlight_tile.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/static/js/components/tiles/highlight_tile.tsx b/static/js/components/tiles/highlight_tile.tsx index 9f85e15157..9c44b19b8f 100644 --- a/static/js/components/tiles/highlight_tile.tsx +++ b/static/js/components/tiles/highlight_tile.tsx @@ -70,7 +70,7 @@ export function HighlightTile(props: HighlightTilePropType): JSX.Element { false, NUM_FRACTION_DIGITS )} - {` (${highlightData.date})`} + {/*` (${highlightData.date})`*/} )} {description} From a07c52ac4616db2f0dcb756187b5185c884d21ba Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 23 Aug 2023 21:33:36 -0700 Subject: [PATCH 30/84] DC2_1 updates --- server/config/topic_page/dc2_4/USA.textproto | 189 ++++++++++++------- 1 file changed, 124 insertions(+), 65 deletions(-) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto index eb66472668..597ba8d1d2 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -59,12 +59,20 @@ categories { description: "Households in the United States live in poverty but do not receive food assistance (SNAP)" stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" } + tiles { + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" + } } columns { tiles { - type: LINE - title: "Number of Households in Poverty and Not Receiving SNAP" - stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + type: MAP + title: "% of Households in Poverty and Not Receiving SNAP" + stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" } } } @@ -76,6 +84,17 @@ categories { } } + stat_var_spec { + key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" + value { + stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + name: "Households Not Receiving Food Stamps in Last Year, Income Below Poverty Level" + denom: "Count_Household" + scaling: 100 + unit: "%" + } + } + ### NEW BLOCK ### blocks { columns { @@ -505,6 +524,8 @@ categories { categories { title: "Farming and Climate" + #------- FARMS -------# + ### NEW BLOCK ### blocks { title: "Farms" @@ -515,53 +536,72 @@ categories { description: "Farms in ${placeName} ${date}" stat_var_key: "Count_Farm" } + } + } + stat_var_spec { + key: "Count_Farm" + value { + stat_var: "Count_Farm" + name: "Farms" + } + } + + blocks { + columns { tiles { title: "Farms ${date}" type: MAP stat_var_key: "Count_Farm" } + } + columns { tiles { - title: "Population: Producer ${date}" + title: "Percent of Crop Covered Area ${date}" type: MAP - stat_var_key: "Count_Person_Producer" + stat_var_key: "LandCoverFraction_Cropland" } } } + stat_var_spec { - key: "Count_Farm" - value { - stat_var: "Count_Farm" - name: "Farms" - } - } - stat_var_spec { - key: "Count_Person_Producer" + key: "LandCoverFraction_Cropland" value { - stat_var: "Count_Person_Producer" - name: "Count: Producer" + stat_var: "LandCoverFraction_Cropland" + name: "Percent of Crop Covered Area" } } + #------- FARMS -------# + ### NEW BLOCK ### blocks { title: "Farm Areas" description: "Silage and forage are crops that are grown specifically to feed livestock, including cows, and are an essential component of cattle farming. Having sufficient land dedicated to silage and forage production can support a healthy, productive, and sustainable cattle population, which in turn contributes to food security by ensuring a consistent supply of meat and dairy products to these communities. Especially during periods of drought, crop failure, or other disasters, having dedicated land for cattle and feed ensures consistent supply of animal-based foods to communities in the face of potential agricultural disasters." columns { - tiles { - title: "Percent of Crop Covered Area ${date}" - type: MAP - stat_var_key: "LandCoverFraction_Cropland" - } tiles { title: "Beef Cows on a Farm ${date}" type: MAP stat_var_key: "Count_FarmInventory_BeefCows" } + } + } + stat_var_spec { + key: "Count_FarmInventory_BeefCows" + value { + stat_var: "Count_FarmInventory_BeefCows" + name: "Beef Cows on a Farm" + } + } + + blocks { + columns { tiles { title: "Forage Produced ${date}" type: MAP stat_var_key: "Amount_FarmInventory_Forage" } + } + columns { tiles { title: "Total Area of Farms for Silage ${date}" type: MAP @@ -569,20 +609,6 @@ categories { } } } - stat_var_spec { - key: "LandCoverFraction_Cropland" - value { - stat_var: "LandCoverFraction_Cropland" - name: "Percent of Crop Covered Area" - } - } - stat_var_spec { - key: "Count_FarmInventory_BeefCows" - value { - stat_var: "Count_FarmInventory_BeefCows" - name: "Beef Cows on a Farm" - } - } stat_var_spec { key: "Amount_FarmInventory_Forage" value { @@ -598,26 +624,26 @@ categories { } } + #------- FARM PRODUCTION -------# + ### NEW BLOCK ### blocks { title: "Farm Production" - description: "Irrigation and depleting water sources play an increasingly critical role on farms. Crops vary in their dependence on irrigation, with many vegetables and more sensitive grains being completely reliant on supplementary water to survive harsh summers. Other crops require supplemental water from irrigation to be economically viable, but are unlikely to die or completely fail without it. With climate change impacting access to reliable irrigation, how will farmers need to adapt to this depleting resource?" + description: "Irrigation and depleting water sources play an increasingly critical role on farms. Crops vary in their dependence on irrigation, with many vegetables and more sensitive grains being completely reliant on supplementary water to survive harsh summers. Other crops require supplemental water from irrigation to be economically viable, but are unlikely to die or completely fail without it. With climate change impacting access to reliable irrigation, how will farmers need to adapt to this depleting resource? " columns { tiles { title: "Area of Irrigated Lands on Farms ${date}" type: MAP stat_var_key: "Area_Farm_IrrigatedLand" } + } + columns { tiles { title: "Area of Farms Growing Vegetables for Sale ${date}" type: MAP stat_var_key: "Area_Farm_VegetablesHarvestedForSale" } - tiles { - title: "Farms Receiving Government Payments ${date}" - type: MAP - stat_var_key: "Count_Farm_ReceivedGovernmentPayment" - } + } } @@ -635,25 +661,34 @@ categories { name: "Area of Farms Growing Vegetables for Sale" } } - stat_var_spec { - key: "Count_Farm_ReceivedGovernmentPayment" - value { - stat_var: "Count_Farm_ReceivedGovernmentPayment" - name: "Farms Receiving Government Payments" - } - } + + + #------- FARM EQUIPMENT AND SUBSIDIES -------# ### NEW BLOCK ### blocks { title: "Farm Equipment and Subsidies" description: "The U.S. government has subsidized farmers through direct cash payments and other measures since 1933. How do higher equipment costs impact new farmers?" + columns { + tiles { + title: "Farms Receiving Government Payments ${date}" + type: MAP + stat_var_key: "Count_Farm_ReceivedGovernmentPayment" + } + } columns { tiles { title: "Mean Market Value of Farm Machinery and Equipment ${date}" type: MAP stat_var_key: "Mean_MarketValue_Farm_MachineryAndEquipment" } - + } + } + stat_var_spec { + key: "Count_Farm_ReceivedGovernmentPayment" + value { + stat_var: "Count_Farm_ReceivedGovernmentPayment" + name: "Farms Receiving Government Payments" } } stat_var_spec { @@ -664,15 +699,12 @@ categories { } } -} - -categories { - title: "Climate and Agriculture" - description: "Climate change is an increasingly significant development for farmers. Heat waves are just one factor that can lead to crop loss. Below you see a map exploring the rate of heat waves experienced by a population in a given region. What decisions will farmers have to make to address more frequent heat events?" + #------- CLIMATE AND AGRICULTURE -------# ### NEW BLOCK ### blocks { - title: "Temperature" + title: "Climate and Agriculture" + description: "Climate change is an increasingly significant development for farmers. Heat waves are just one factor that can lead to crop loss. Below you see a map exploring the rate of heat waves experienced by a population in a given region." columns { tiles { title: "Population-weighted Number of Heat Waves ${date}" @@ -692,14 +724,18 @@ categories { ### NEW BLOCK ### blocks { - title: "Droughts" columns { tiles { title: "Droughts ${date}" type: MAP stat_var_key: "Count_DroughtEvent" + } + } + columns { + tiles { + type: DESCRIPTION + description: "Farmers rely on a steady and reliable source of water for their crops to be successful, either in the form of irrigation or in the form of consistent rainfall. Coupled with intensifying water use, the number of droughts paint a picture of a dwindling key resource and the stress on farmers to obtain consistent access to this resource." } - } } stat_var_spec { @@ -712,18 +748,47 @@ categories { ### NEW BLOCK ### blocks { - title: "Water for Farms" + columns { + tiles { + type: DESCRIPTION + description: "In response to a changing climate, farmers may need to find other resources for their crops or livestock." + } + } columns { tiles { title: "Area of Irrigated Lands on Farms ${date}" type: MAP stat_var_key: "Area_Farm_IrrigatedLand" + } + } + } + stat_var_spec { + key: "Area_Farm_IrrigatedLand" + value { + stat_var: "Area_Farm_IrrigatedLand" + name: "Area of Irrigated Lands on Farms" + } + } + + ### NEW BLOCK ### + blocks { + title: "Water for Farms" + columns { + tiles : { + type: DESCRIPTION + description: "Animal products are an essential component of the U.S. food system. However, it is important to note that beef demands a lot of water. This demand stems from both the animals themselves and the feed that they rely on.\n\nHow could the U.S. preference for beef be impacting other agricultural sectors negatively?" } tiles: { type: LINE title: "Withdrawal Rate of Water for Livestock in ${placeName}" stat_var_key: "WithdrawalRate_Water_Livestock" } + } + columns { + tiles : { + type: DESCRIPTION + description: "Animal agriculture is often the most viable agricultural option in many areas. Factors limiting crop production include climate pressures, access to irrigation, and socioeconomic pressures.\n\nSince water resources are often limited, how might competition for this resource affect farmers?" + } tiles { title: "Withdrawal Rate of Water for Livestock ${date}" type: MAP @@ -731,13 +796,7 @@ categories { } } } - stat_var_spec { - key: "Area_Farm_IrrigatedLand" - value { - stat_var: "Area_Farm_IrrigatedLand" - name: "Area of Irrigated Lands on Farms" - } - } + stat_var_spec { key: "WithdrawalRate_Water_Livestock" value { @@ -754,7 +813,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "It is important to note that the dryer, warmer future is only one component of how climate change is expected to affect our food systems. The increasing severity of storms, massive flooding events, and other changing climate factors affect our ability to produce food. These events not only impact food production where they occur, they also drive up the demand for food and other resources as people are displaced and try to recover.\nIn summary, improving food security depends on careful planning and policy considerations. Food security is a multifaceted issue influenced by a wide range of factors, including income levels, access to markets, food distribution systems, government policies, social safety nets, education, health, sustainable agricultural practices, climate resilience, and more. " + description: "It is important to note that the dryer, warmer future is only one component of how climate change is expected to affect our food systems. The increasing severity of storms, massive flooding events, and other changing climate factors affect our ability to produce food. These events not only impact food production where they occur, they also drive up the demand for food and other resources as people are displaced and try to recover.\n\nIn summary, improving food security depends on careful planning and policy considerations. Food security is a multifaceted issue influenced by a wide range of factors, including income levels, access to markets, food distribution systems, government policies, social safety nets, education, health, sustainable agricultural practices, climate resilience, and more." } } } From 167990778cfca127e6876c5b687b827dcb091bcc Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 23 Aug 2023 21:33:52 -0700 Subject: [PATCH 31/84] DC2_1 changes --- .../economic-and-social-growth/COL.textproto | 26 ++++++++++++------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/server/config/topic_page/economic-and-social-growth/COL.textproto b/server/config/topic_page/economic-and-social-growth/COL.textproto index dca004bdc8..d8b2afc497 100644 --- a/server/config/topic_page/economic-and-social-growth/COL.textproto +++ b/server/config/topic_page/economic-and-social-growth/COL.textproto @@ -130,6 +130,17 @@ categories { type: DESCRIPTION description: "According to macroeconomics theories, as more production is generated in a country, the labor force increases. This is a result of production driving more consumption, which in turn drives demand and employment." } + } + columns { + tiles { + type: DESCRIPTION + description: "When GDP increases, we see an increase in the number of higher education students not dropping out of college and instead continuing to graduation." + } + } + } + + blocks { + columns { tiles { type: LINE title: "Percent of Working-Age Population in the Labor Force" @@ -137,10 +148,6 @@ categories { } } columns { - tiles { - type: DESCRIPTION - description: "When GDP increases, we see an increase in the number of higher education students not dropping out of college and instead continuing to graduation." - } tiles { type: LINE title: "Percent of Secondary Education Students Graduating" @@ -197,6 +204,7 @@ categories { value { stat_var: "GrowthRate_Amount_EconomicActivity_GrossDomesticProduction" name: "Growth Rate of GDP" + unit: "%" } } @@ -345,19 +353,19 @@ categories { } tiles { type: DESCRIPTION - description: "- [*WWB Colombia Foundation*](https://www.fundacionwwbcolombia.org): Creates programs to strengthen the personal and business skills of vulnerable women in order to reduce the unemployment rate of this population and boost the impact of social investment." + description: "- [*WWB Colombia Foundation*](https://www.fundacionwwbcolombia.org) creates programs to strengthen the personal and business skills of vulnerable women in order to reduce the unemployment rate of this population and boost the impact of social investment." } tiles { type: DESCRIPTION - description: "- [*Mano Cambiada*](https://www.manocambiada.org): Seeks to prevent the recruitment of young people in contexts of violence, transforming them into social change agents through the creation of community-based tourism programs and environmental and cultural education." + description: "- [*Mano Cambiada*](https://www.manocambiada.org) seeks to prevent the recruitment of young people in contexts of violence, transforming them into social change agents through the creation of community-based tourism programs and environmental and cultural education." } tiles { type: DESCRIPTION - description: "- [*Recon*](https://www.reconcolombia.org): Seeks to strengthen social enterprises that impact the sustainable economic and social development of vulnerable communities." + description: "- [*Recon*](https://www.reconcolombia.org) seeks to strengthen social enterprises that impact the sustainable economic and social development of vulnerable communities." } tiles { type: DESCRIPTION - description: "- [*Fundación Capital*](https://www.fundacioncapital.org): Seeks to improve the financial and economic life of socially vulnerable populations." + description: "- [*Fundación Capital*](https://www.fundacioncapital.org) seeks to improve the financial and economic life of socially vulnerable populations." } } columns { @@ -371,7 +379,7 @@ categories { } tiles { type: DESCRIPTION - description: "- [*Alexander Von Humboldt Institute*](http://humboldt.org.co) seeks to promote through open data collaboration in scientific and academic creation." + description: "- [*Alexander Von Humboldt Institute*](http://humboldt.org.co) seeks to promote collaboration in scientific and academic creation through open data." } tiles { type: DESCRIPTION From f71ae83696a1833fec82316fcc9bc75398ce442c Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 23 Aug 2023 21:34:03 -0700 Subject: [PATCH 32/84] git hash update --- deploy/helm_charts/envs/techsoup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 1e5fd3e715..f61bc4aad6 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: d718ffd + tag: 53c9f98 flaskEnv: custom replicas: 1 From b934003e42427e3f88574bf8e33d0e22fbd0a7ec Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 23 Aug 2023 21:57:17 -0700 Subject: [PATCH 33/84] Remove block title from water withdrawal block --- server/config/topic_page/dc2_4/USA.textproto | 1 - 1 file changed, 1 deletion(-) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto index 597ba8d1d2..7b094e5407 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -772,7 +772,6 @@ categories { ### NEW BLOCK ### blocks { - title: "Water for Farms" columns { tiles : { type: DESCRIPTION From 4cbff41158732d8dcdb9c16d600a5a902467df88 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Thu, 24 Aug 2023 17:06:03 -0700 Subject: [PATCH 34/84] inital dc2_5 all vars page --- .../topic_page/climate_allvars/USA.textproto | 684 +++++++++ .../topic_page/foodsecurity/USA.textproto | 1290 ----------------- server/lib/util.py | 3 +- server/routes/topic_page/html.py | 4 +- 4 files changed, 688 insertions(+), 1293 deletions(-) create mode 100644 server/config/topic_page/climate_allvars/USA.textproto delete mode 100644 server/config/topic_page/foodsecurity/USA.textproto diff --git a/server/config/topic_page/climate_allvars/USA.textproto b/server/config/topic_page/climate_allvars/USA.textproto new file mode 100644 index 0000000000..c6284ff8b3 --- /dev/null +++ b/server/config/topic_page/climate_allvars/USA.textproto @@ -0,0 +1,684 @@ +# Copyright 2023 TechSoup Global +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + + +## NOTES +## * Population Change var isn't in US + +metadata { + topic_id: "climate_allvars" + topic_name: "All Climate Variables" + + place_dcid: "country/USA" + place_group { + parent_place: "country/USA" + place_type: "State" + } + place_group { + parent_place: "country/USA" + place_type: "County" + } + contained_place_types { + key: "Country" + value: "State" + } + contained_place_types { + key: "State" + value: "County" + } + contained_place_types { + key: "County" + value: "CensusTract" + } +} + + + +############ CATEGORY: Emissions ############ + +categories { + title: "Emissions" + + #---------- Annual Emissions of Non Biogenic Carbon Dioxide ----------# + blocks {title: "Annual Emissions of Non Biogenic Carbon Dioxide" columns {tiles {type: DESCRIPTION description: "Stat Var = Annual_Emissions_CarbonDioxide_NonBiogenic"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Annual Emissions of Non Biogenic Carbon Dioxide (${date})" stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic"}} + columns {tiles {type: LINE stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic"}} + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Annual_Emissions_CarbonDioxide_NonBiogenic" value {stat_var: "Annual_Emissions_CarbonDioxide_NonBiogenic"}} + + #---------- Annual Emissions of Non Biogenic Greenhouse Gases ----------# + blocks {title: "Annual Emissions of Non Biogenic Greenhouse Gases" columns {tiles {type: DESCRIPTION description: "Stat Var = Annual_Emissions_GreenhouseGas_NonBiogenic"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Annual Emissions of Non Biogenic Greenhouse Gases (${date})" stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}} + columns {tiles {type: LINE stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}} + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Annual_Emissions_GreenhouseGas_NonBiogenic" value {stat_var: "Annual_Emissions_GreenhouseGas_NonBiogenic"}} + + #---------- Annual Emissions of Non Biogenic Methane ----------# + blocks {title: "Annual Emissions of Non Biogenic Methane" columns {tiles {type: DESCRIPTION description: "Stat Var = Annual_Emissions_Methane_NonBiogenic"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Annual Emissions of Non Biogenic Methane (${date})" stat_var_key: "Annual_Emissions_Methane_NonBiogenic"}} + columns {tiles {type: LINE stat_var_key: "Annual_Emissions_Methane_NonBiogenic"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Annual_Emissions_Methane_NonBiogenic"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Annual_Emissions_Methane_NonBiogenic"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Annual_Emissions_Methane_NonBiogenic"}} + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_Methane_NonBiogenic" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_Methane_NonBiogenic" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Annual_Emissions_Methane_NonBiogenic" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Annual_Emissions_Methane_NonBiogenic" value {stat_var: "Annual_Emissions_Methane_NonBiogenic"}} + + # Demographic vars + stat_var_spec {key: "Count_Person" value {stat_var: "Count_Person"}} + stat_var_spec {key: "Count_Person_PerArea" value {stat_var: "Count_Person_PerArea"}} + stat_var_spec {key: "LifeExpectancy_Person" value {stat_var: "LifeExpectancy_Person"}} +} + +############ CATEGORY: Remote Sensing ############ + +categories { + title: "Remote Sensing" + + #---------- Mean maximum temperature in forested areas ----------# + blocks {title: "Mean maximum temperature in forested areas" columns {tiles {type: DESCRIPTION description: "Stat Var = Mean_MaxTemperature_Forest"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Mean maximum temperature in forested areas (${date})" stat_var_key: "Mean_MaxTemperature_Forest"}} + columns {tiles {type: LINE stat_var_key: "Mean_MaxTemperature_Forest"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Mean_MaxTemperature_Forest"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Mean_MaxTemperature_Forest"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Mean_MaxTemperature_Forest"}} + columns {tiles {type: SCATTER stat_var_key: "Mean_MaxTemperature_Forest" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Mean_MaxTemperature_Forest" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Mean_MaxTemperature_Forest" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Mean_MaxTemperature_Forest" value {stat_var: "Mean_MaxTemperature_Forest"}} + + #---------- Percent of Forest Covered Area ----------# + blocks {title: "Percent of Forest Covered Area" columns {tiles {type: DESCRIPTION description: "Stat Var = LandCoverFraction_Forest"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Percent of Forest Covered Area (${date})" stat_var_key: "LandCoverFraction_Forest"}} + columns {tiles {type: LINE stat_var_key: "LandCoverFraction_Forest"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "LandCoverFraction_Forest"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LandCoverFraction_Forest"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "LandCoverFraction_Forest"}} + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_Forest" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_Forest" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_Forest" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "LandCoverFraction_Forest" value {stat_var: "LandCoverFraction_Forest"}} + + #---------- Percent of Permanent Water Covered Area ----------# + blocks {title: "Percent of Permanent Water Covered Area" columns {tiles {type: DESCRIPTION description: "Stat Var = LandCoverFraction_PermanentWater"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Percent of Permanent Water Covered Area (${date})" stat_var_key: "LandCoverFraction_PermanentWater"}} + columns {tiles {type: LINE stat_var_key: "LandCoverFraction_PermanentWater"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "LandCoverFraction_PermanentWater"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LandCoverFraction_PermanentWater"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "LandCoverFraction_PermanentWater"}} + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_PermanentWater" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_PermanentWater" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_PermanentWater" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "LandCoverFraction_PermanentWater" value {stat_var: "LandCoverFraction_PermanentWater"}} + + #---------- Percent of Seasonal Water Covered Area ----------# + blocks {title: "Percent of Seasonal Water Covered Area" columns {tiles {type: DESCRIPTION description: "Stat Var = LandCoverFraction_SeasonalWater"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Percent of Seasonal Water Covered Area (${date})" stat_var_key: "LandCoverFraction_SeasonalWater"}} + columns {tiles {type: LINE stat_var_key: "LandCoverFraction_SeasonalWater"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "LandCoverFraction_SeasonalWater"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LandCoverFraction_SeasonalWater"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "LandCoverFraction_SeasonalWater"}} + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_SeasonalWater" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_SeasonalWater" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "LandCoverFraction_SeasonalWater" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "LandCoverFraction_SeasonalWater" value {stat_var: "LandCoverFraction_SeasonalWater"}} + + #---------- Rate of Water Withdrawal ----------# + blocks {title: "Rate of Water Withdrawal" columns {tiles {type: DESCRIPTION description: "Stat Var = WithdrawalRate_Water"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Rate of Water Withdrawal (${date})" stat_var_key: "WithdrawalRate_Water"}} + columns {tiles {type: LINE stat_var_key: "WithdrawalRate_Water"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "WithdrawalRate_Water"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "WithdrawalRate_Water"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "WithdrawalRate_Water"}} + columns {tiles {type: SCATTER stat_var_key: "WithdrawalRate_Water" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "WithdrawalRate_Water" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "WithdrawalRate_Water" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "WithdrawalRate_Water" value {stat_var: "WithdrawalRate_Water"}} + + #---------- Mean Temperature ----------# + blocks {title: "Mean Temperature" columns {tiles {type: DESCRIPTION description: "Stat Var = Mean_Temperature"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Mean Temperature (${date})" stat_var_key: "Mean_Temperature"}} + columns {tiles {type: LINE stat_var_key: "Mean_Temperature"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Mean_Temperature"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Mean_Temperature"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Mean_Temperature"}} + columns {tiles {type: SCATTER stat_var_key: "Mean_Temperature" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Mean_Temperature" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Mean_Temperature" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Mean_Temperature" value {stat_var: "Mean_Temperature"}} + + #---------- Mean maximum temperature ----------# + blocks {title: "Mean maximum temperature" columns {tiles {type: DESCRIPTION description: "Stat Var = Mean_MaxTemperature"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Mean maximum temperature (${date})" stat_var_key: "Mean_MaxTemperature"}} + columns {tiles {type: LINE stat_var_key: "Mean_MaxTemperature"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Mean_MaxTemperature"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Mean_MaxTemperature"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Mean_MaxTemperature"}} + columns {tiles {type: SCATTER stat_var_key: "Mean_MaxTemperature" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Mean_MaxTemperature" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Mean_MaxTemperature" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Mean_MaxTemperature" value {stat_var: "Mean_MaxTemperature"}} + + # Demographic vars + stat_var_spec {key: "Count_Person" value {stat_var: "Count_Person"}} + stat_var_spec {key: "Count_Person_PerArea" value {stat_var: "Count_Person_PerArea"}} + stat_var_spec {key: "LifeExpectancy_Person" value {stat_var: "LifeExpectancy_Person"}} +} + + +############ CATEGORY: Hazards ############ + +categories { + title: "Hazards" + + #---------- Wildfires ----------# + blocks {title: "Wildfires" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_WildfireEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Wildfires (${date})" stat_var_key: "Count_WildfireEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_WildfireEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_WildfireEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_WildfireEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_WildfireEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_WildfireEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_WildfireEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_WildfireEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_WildfireEvent" value {stat_var: "Count_WildfireEvent"}} + + #---------- Cyclones ----------# + blocks {title: "Cyclones" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_CycloneEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Cyclones (${date})" stat_var_key: "Count_CycloneEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_CycloneEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_CycloneEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_CycloneEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_CycloneEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_CycloneEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_CycloneEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_CycloneEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_CycloneEvent" value {stat_var: "Count_CycloneEvent"}} + + #---------- Cloud of Dense Smoke Event ----------# + blocks {title: "Cloud of Dense Smoke Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_DenseSmokeEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Cloud of Dense Smoke Event (${date})" stat_var_key: "Count_DenseSmokeEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_DenseSmokeEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_DenseSmokeEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_DenseSmokeEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_DenseSmokeEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_DenseSmokeEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_DenseSmokeEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_DenseSmokeEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_DenseSmokeEvent" value {stat_var: "Count_DenseSmokeEvent"}} + + #---------- Count of Fire Incident Complex Event ----------# + blocks {title: "Count of Fire Incident Complex Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_FireIncidentComplex"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Fire Incident Complex Event (${date})" stat_var_key: "Count_FireIncidentComplex"}} + columns {tiles {type: LINE stat_var_key: "Count_FireIncidentComplex"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_FireIncidentComplex"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FireIncidentComplex"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_FireIncidentComplex"}} + columns {tiles {type: SCATTER stat_var_key: "Count_FireIncidentComplex" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_FireIncidentComplex" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_FireIncidentComplex" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_FireIncidentComplex" value {stat_var: "Count_FireIncidentComplex"}} + + #---------- Count of Excessive Heat Event ----------# + blocks {title: "Count of Excessive Heat Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_ExcessiveHeatEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Excessive Heat Event (${date})" stat_var_key: "Count_ExcessiveHeatEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_ExcessiveHeatEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_ExcessiveHeatEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExcessiveHeatEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_ExcessiveHeatEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_ExcessiveHeatEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_ExcessiveHeatEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_ExcessiveHeatEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_ExcessiveHeatEvent" value {stat_var: "Count_ExcessiveHeatEvent"}} + + #---------- Count of Extreme Cold Wind Chill Event ----------# + blocks {title: "Count of Extreme Cold Wind Chill Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_ExtremeColdWindChillEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Extreme Cold Wind Chill Event (${date})" stat_var_key: "Count_ExtremeColdWindChillEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_ExtremeColdWindChillEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_ExtremeColdWindChillEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExtremeColdWindChillEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_ExtremeColdWindChillEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_ExtremeColdWindChillEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_ExtremeColdWindChillEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_ExtremeColdWindChillEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_ExtremeColdWindChillEvent" value {stat_var: "Count_ExtremeColdWindChillEvent"}} + + #---------- Fire Event With Area = Forest ----------# + blocks {title: "Fire Event With Area = Forest" columns {tiles {type: DESCRIPTION description: "Stat Var = BurnedArea_FireEvent_Forest"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Fire Event With Area = Forest (${date})" stat_var_key: "BurnedArea_FireEvent_Forest"}} + columns {tiles {type: LINE stat_var_key: "BurnedArea_FireEvent_Forest"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "BurnedArea_FireEvent_Forest"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "BurnedArea_FireEvent_Forest"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "BurnedArea_FireEvent_Forest"}} + columns {tiles {type: SCATTER stat_var_key: "BurnedArea_FireEvent_Forest" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "BurnedArea_FireEvent_Forest" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "BurnedArea_FireEvent_Forest" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "BurnedArea_FireEvent_Forest" value {stat_var: "BurnedArea_FireEvent_Forest"}} + + #---------- Count of Flash Flood Event ----------# + blocks {title: "Count of Flash Flood Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_FlashFloodEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Flash Flood Event (${date})" stat_var_key: "Count_FlashFloodEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_FlashFloodEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_FlashFloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FlashFloodEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_FlashFloodEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_FlashFloodEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_FlashFloodEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_FlashFloodEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_FlashFloodEvent" value {stat_var: "Count_FlashFloodEvent"}} + + #---------- Heat Waves ----------# + blocks {title: "Heat Waves" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_HeatEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Heat Waves (${date})" stat_var_key: "Count_HeatEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HeatEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_HeatEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_HeatEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeatEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_HeatEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeatEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_HeatEvent" value {stat_var: "Count_HeatEvent"}} + + #---------- Heavy Rains ----------# + blocks {title: "Heavy Rains" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_HeavyRainEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Heavy Rains (${date})" stat_var_key: "Count_HeavyRainEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HeavyRainEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_HeavyRainEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeavyRainEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_HeavyRainEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeavyRainEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_HeavyRainEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeavyRainEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_HeavyRainEvent" value {stat_var: "Count_HeavyRainEvent"}} + + #---------- Heavy Snows ----------# + blocks {title: "Heavy Snows" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_HeavySnowEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Heavy Snows (${date})" stat_var_key: "Count_HeavySnowEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HeavySnowEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_HeavySnowEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeavySnowEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_HeavySnowEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeavySnowEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_HeavySnowEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeavySnowEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_HeavySnowEvent" value {stat_var: "Count_HeavySnowEvent"}} + + #---------- Percent of forest area that experienced high-severity fire (1995 to 2017) ----------# + blocks {title: "Percent of forest area that experienced high-severity fire (1995 to 2017)" columns {tiles {type: DESCRIPTION description: "Stat Var = Percent_BurnedArea_FireEvent_Forest_HighSeverity"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Percent of forest area that experienced high-severity fire (1995 to 2017) (${date})" stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"}} + columns {tiles {type: LINE stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"}} + columns {tiles {type: SCATTER stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity" value {stat_var: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"}} + + #---------- Floods ----------# + blocks {title: "Floods" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_FloodEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Floods (${date})" stat_var_key: "Count_FloodEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_FloodEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_FloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FloodEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_FloodEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_FloodEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_FloodEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_FloodEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_FloodEvent" value {stat_var: "Count_FloodEvent"}} + + #---------- Count of Hurricane Event ----------# + blocks {title: "Count of Hurricane Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_HurricaneEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Hurricane Event (${date})" stat_var_key: "Count_HurricaneEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HurricaneEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_HurricaneEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HurricaneEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_HurricaneEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HurricaneEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_HurricaneEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HurricaneEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_HurricaneEvent" value {stat_var: "Count_HurricaneEvent"}} + + #---------- Count of Hurricane Typhoon Event ----------# + blocks {title: "Count of Hurricane Typhoon Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_HurricaneTyphoonEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Hurricane Typhoon Event (${date})" stat_var_key: "Count_HurricaneTyphoonEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HurricaneTyphoonEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_HurricaneTyphoonEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HurricaneTyphoonEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_HurricaneTyphoonEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HurricaneTyphoonEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_HurricaneTyphoonEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HurricaneTyphoonEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_HurricaneTyphoonEvent" value {stat_var: "Count_HurricaneTyphoonEvent"}} + + #---------- Count of Tropical Depression Event ----------# + blocks {title: "Count of Tropical Depression Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_TropicalDepressionEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Tropical Depression Event (${date})" stat_var_key: "Count_TropicalDepressionEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_TropicalDepressionEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_TropicalDepressionEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_TropicalDepressionEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_TropicalDepressionEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_TropicalDepressionEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_TropicalDepressionEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_TropicalDepressionEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_TropicalDepressionEvent" value {stat_var: "Count_TropicalDepressionEvent"}} + + #---------- Count of Tropical Storm Event ----------# + blocks {title: "Count of Tropical Storm Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_TropicalStormEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Tropical Storm Event (${date})" stat_var_key: "Count_TropicalStormEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_TropicalStormEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_TropicalStormEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_TropicalStormEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_TropicalStormEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_TropicalStormEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_TropicalStormEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_TropicalStormEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_TropicalStormEvent" value {stat_var: "Count_TropicalStormEvent"}} + + #---------- Droughts ----------# + blocks {title: "Droughts" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_DroughtEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Droughts (${date})" stat_var_key: "Count_DroughtEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_DroughtEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_DroughtEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_DroughtEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_DroughtEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_DroughtEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_DroughtEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_DroughtEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_DroughtEvent" value {stat_var: "Count_DroughtEvent"}} + + #---------- Earthquakes ----------# + blocks {title: "Earthquakes" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_EarthquakeEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Earthquakes (${date})" stat_var_key: "Count_EarthquakeEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_EarthquakeEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_EarthquakeEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_EarthquakeEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_EarthquakeEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_EarthquakeEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_EarthquakeEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_EarthquakeEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_EarthquakeEvent" value {stat_var: "Count_EarthquakeEvent"}} + + #---------- Count of Heat Temperature Event ----------# + blocks {title: "Count of Heat Temperature Event" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_HeatTemperatureEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Count of Heat Temperature Event (${date})" stat_var_key: "Count_HeatTemperatureEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HeatTemperatureEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_HeatTemperatureEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatTemperatureEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_HeatTemperatureEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeatTemperatureEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_HeatTemperatureEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_HeatTemperatureEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_HeatTemperatureEvent" value {stat_var: "Count_HeatTemperatureEvent"}} + + #---------- Coastal Floods ----------# + blocks {title: "Coastal Floods" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_CoastalFloodEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Coastal Floods (${date})" stat_var_key: "Count_CoastalFloodEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_CoastalFloodEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_CoastalFloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_CoastalFloodEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_CoastalFloodEvent"}} + columns {tiles {type: SCATTER stat_var_key: "Count_CoastalFloodEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "Count_CoastalFloodEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "Count_CoastalFloodEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "Count_CoastalFloodEvent" value {stat_var: "Count_CoastalFloodEvent"}} + + #---------- Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA) ----------# + blocks {title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA)" columns {tiles {type: DESCRIPTION description: "Stat Var = SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} + columns {tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} + columns {tiles {type: SCATTER stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} + + #---------- Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA) ----------# + blocks {title: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA)" columns {tiles {type: DESCRIPTION description: "Stat Var = SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + columns {tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + columns {tiles {type: SCATTER stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: SCATTER stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: SCATTER stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" stat_var_key: "LifeExpectancy_Person"}}} + stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + + # Demographic vars + stat_var_spec {key: "Count_Person" value {stat_var: "Count_Person"}} + stat_var_spec {key: "Count_Person_PerArea" value {stat_var: "Count_Person_PerArea"}} + stat_var_spec {key: "LifeExpectancy_Person" value {stat_var: "LifeExpectancy_Person"}} + +} + + +############ CATEGORY: Demographics ############ + +categories { + title: "Demographics" + + #---------- Total Population ----------# + blocks {title: "Total Population" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_Person"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Total Population (${date})" stat_var_key: "Count_Person"}} + columns {tiles {type: LINE stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_Person"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_Person"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_Person"}} + columns {tiles {type: DESCRIPTION description: ""}}} + stat_var_spec {key: "Count_Person" value {stat_var: "Count_Person"}} + + #---------- Population Density ----------# + blocks {title: "Population Density" columns {tiles {type: DESCRIPTION description: "Stat Var = Count_Person_PerArea"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Population Density (${date})" stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: LINE stat_var_key: "Count_Person_PerArea"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_Person_PerArea"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "Count_Person_PerArea"}} + columns {tiles {type: DESCRIPTION description: ""}}} + stat_var_spec {key: "Count_Person_PerArea" value {stat_var: "Count_Person_PerArea"}} + + #---------- Life expectancy ----------# + blocks {title: "Life expectancy" columns {tiles {type: DESCRIPTION description: "Stat Var = LifeExpectancy_Person"}}} + blocks { + columns {tiles {type: HIGHLIGHT description: "Life expectancy (${date})" stat_var_key: "LifeExpectancy_Person"}} + columns {tiles {type: LINE stat_var_key: "LifeExpectancy_Person"}}} + blocks { + columns {tiles {type: MAP stat_var_key: "LifeExpectancy_Person"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LifeExpectancy_Person"}}} + blocks { + columns {tiles {type: BAR stat_var_key: "LifeExpectancy_Person"}} + columns {tiles {type: DESCRIPTION description: ""}}} + stat_var_spec {key: "__STATLifeExpectancy_PersonVAR" value {stat_var: "LifeExpectancy_Person"}} + + # Demographic vars + stat_var_spec {key: "Count_Person" value {stat_var: "Count_Person"}} + stat_var_spec {key: "Count_Person_PerArea" value {stat_var: "Count_Person_PerArea"}} + stat_var_spec {key: "LifeExpectancy_Person" value {stat_var: "LifeExpectancy_Person"}} + + + ##################### TEMPLATE START ############################ + + #---------- __STATVAR_DESCRIPTION ----------# + #blocks {title: "__STATVAR_DESCRIPTION" columns {tiles {type: DESCRIPTION description: "Stat Var = __STATVAR"}}} + #blocks { + # columns {tiles {type: HIGHLIGHT description: "__STATVAR_DESCRIPTION (${date})" stat_var_key: "__STATVAR"}} + # columns {tiles {type: LINE stat_var_key: "__STATVAR"}}} + #blocks { + # columns {tiles {type: MAP stat_var_key: "__STATVAR"}} + # columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "__STATVAR"}}} + #blocks { + # columns {tiles {type: BAR stat_var_key: "__STATVAR"}} + # columns {tiles {type: SCATTER stat_var_key: "__STATVAR" stat_var_key: "Count_Person"}}} + #blocks { + # columns {tiles {type: SCATTER stat_var_key: "__STATVAR" stat_var_key: "Count_Person_PerArea"}} + # columns {tiles {type: SCATTER stat_var_key: "__STATVAR" stat_var_key: "LifeExpectancy_Person"}}} + #stat_var_spec {key: "__STATVAR" value {stat_var: "__STATVAR"}} + + ##################### TEMPLATE END ############################ + +} \ No newline at end of file diff --git a/server/config/topic_page/foodsecurity/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto deleted file mode 100644 index fa82e505a5..0000000000 --- a/server/config/topic_page/foodsecurity/USA.textproto +++ /dev/null @@ -1,1290 +0,0 @@ -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -## This file specifies the topic page config for poverty in USA - -metadata { - topic_id: "foodsecurity" - topic_name: "Food Security" - place_dcid: "country/USA" - contained_place_types { - key: "Country" - value: "State" - } -} - -categories { - title: "Overview" - - blocks { - title: "Gini index of economic activity" - columns { - tiles { - type: HIGHLIGHT - description: "Gini index of economic activity for ${placeName} (${date})" - stat_var_key: "gini" - } - tiles { - type: DESCRIPTION - description: "In economics, the Gini index is a measure of income inequality within a nation or social group. It measures the inequality among values of a frequency distribution (e.g. a Gini index of 0 represents perfect equality, while 100 represents perfect inequality)." - } - } - columns { - tiles: { - type: LINE - title: "Gini index of economic activity for ${placeName}" - stat_var_key: "gini" - } - # TODO: Add rankings of other /Countries/ - } - } - - stat_var_spec { - key: "gini" - value { - stat_var: "GiniIndex_EconomicActivity" - name: "Gini index of economic activity" - } - } -} - -categories { - title: "Equity between sexes" - description: "Gender is often confused with the concept of sex. Gender is a social construct, whereas sex is based on the biological attributes of men and women. The US Census intends to capture a person's biological sex and not gender. For more information, see https://www.census.gov/topics/population/age-and-sex/about.html" - blocks { - title: "Income inequality between sexes" - description: "Income inequality is computed as the ratio of the difference between median income for each sex, with the combined median incomes. A value of 0 means complete equality of median income." - columns { - tiles { - type: MAP - title: "Income inequality between sexes (${date})" - stat_var_key: "income_inequality" - } - } - columns { - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - show_lowest: true - } - stat_var_key: "income_inequality" - } - } - } - - blocks { - title: "Income and employment, by sex" - description: "Median incomes of individuals, broken down by sex" - columns { - tiles { - title: "Median income by sex" - type: LINE - stat_var_key: "median_income_female" - stat_var_key: "median_income_male" - } - } - columns { - tiles { - title: "Unemployment rate by sex" - type: LINE - stat_var_key: "unemployment_female" - stat_var_key: "unemployment_male" - } - # There is only state-level data for Median Income, not unemployment rate. - } - } - - blocks { - title: "Poverty rate, by sex" - description: "Percentage of the population of each sex living below the poverty level." - columns { - tiles { - type: MAP - title: "Percentage of the female population in poverty (${date})" - stat_var_key: "poverty_rate_female" - } - tiles { - type: LINE - title: "Poverty rate, by sex" - stat_var_key: "poverty_rate_female" - stat_var_key: "poverty_rate_male" - } - } - columns { - tiles { - type: MAP - title: "Percentage of the male population in poverty (${date})" - stat_var_key: "poverty_rate_male" - } - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - } - stat_var_key: "poverty_rate_female" - stat_var_key: "poverty_rate_male" - } - } - } - - blocks { - title: "Uninsured, by sex" - description: "Of those without insurance, how many are male or female?" - # TODO(beets): This isn't available at the country level - # stat_var_spec { - # stat_var: "Count_Person_Female_WithHealthInsurance" - # denom: "Count_Person_Female" - # unit: "%" - # scaling: 100 - # name: "Female, insured" - # } - # stat_var_spec { - # stat_var: "Count_Person_Male_WithHealthInsurance" - # denom: "Count_Person_Male" - # unit: "%" - # scaling: 100 - # name: "Male, insured" - # } - columns { - tiles { - type: HIGHLIGHT - description: "Americans have no health insurance (${date})" - stat_var_key: "uninsured_count" - } - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - } - stat_var_key: "uninsured_rate_female" - stat_var_key: "uninsured_rate_male" - } - } - columns { - tiles { - type: LINE - title: "Uninsured, by sex" - stat_var_key: "uninsured_rate_female" - stat_var_key: "uninsured_rate_male" - } - } - } - - blocks { - title: "With disabilities, by sex" - description: "Percentage of the population of each sex with disabilities" - # TODO(beets): This isn"t available at the country level - # stat_var_spec { - # stat_var: "Count_Person_Female_WithHealthInsurance" - # denom: "Count_Person_Female" - # unit: "%" - # scaling: 100 - # name: "Female, insured" - # } - # stat_var_spec { - # stat_var: "Count_Person_Male_WithHealthInsurance" - # denom: "Count_Person_Male" - # unit: "%" - # scaling: 100 - # name: "Male, insured" - # } - columns { - tiles { - type: LINE - title: "With disability, by sex in ${placeName}" - stat_var_key: "disability_rate_female" - stat_var_key: "disability_rate_male" - } - } - columns { - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - } - stat_var_key: "disability_rate_female" - stat_var_key: "disability_rate_male" - } - } - } - - # Note: This data is not available by race. - blocks { - title: "Education attainment by sex" - description: "Percentage of the population of each sex with an associate's degree" - columns { - tiles { - type: LINE - title: "Associate's degree holders by sex" - stat_var_key: "associates_female" - stat_var_key: "associates_male" - } - } - columns { - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - show_lowest: true - } - stat_var_key: "associates_female" - stat_var_key: "associates_male" - } - } - } - - blocks { - # Note: title intentionally left out - description: "Percentage of the population of each sex with an bachelors's degree" - columns { - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - show_lowest: true - } - stat_var_key: "bachelors_female" - stat_var_key: "bachelors_male" - } - } - columns { - tiles { - title: "Bachelor's degree holders by sex" - type: LINE - stat_var_key: "bachelors_female" - stat_var_key: "bachelors_male" - } - } - } - - blocks { - # Note: title intentionally left out - description: "Percentage of the population of each sex with a graduate or professional degree" - columns { - tiles { - type: MAP - title: "Percentage of females who are graduate or professional degree holders" - stat_var_key: "graduate_female" - } - tiles { - type: LINE - title: "Graduate or professional degree holders by sex" - stat_var_key: "graduate_female" - stat_var_key: "graduate_male" - } - } - columns { - tiles { - type: MAP - title: "Percentage of males who are graduate or professional degree holders" - stat_var_key: "graduate_male" - } - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - show_lowest: true - } - stat_var_key: "graduate_female" - stat_var_key: "graduate_male" - } - } - } - - stat_var_spec { - key: "income_inequality" - value { - stat_var: "GenderIncomeInequality_Person_15OrMoreYears_WithIncome" - name: "Income inequality between sexes" - } - } - stat_var_spec { - key: "median_income_female" - value { - stat_var: "Median_Income_Person_15OrMoreYears_Female_WithIncome" - unit: "$" - } - } - stat_var_spec { - key: "median_income_male" - value { - stat_var: "Median_Income_Person_15OrMoreYears_Male_WithIncome" - unit: "$" - } - } - stat_var_spec { - key: "unemployment_female" - value { - stat_var: "UnemploymentRate_Person_Female" - unit: "%" - } - } - stat_var_spec { - key: "unemployment_male" - value { - stat_var: "UnemploymentRate_Person_Male" - unit: "%" - } - } - stat_var_spec { - key: "poverty_rate_female" - value { - stat_var: "Count_Person_Female_BelowPovertyLevelInThePast12Months" - denom: "Count_Person_Female" - scaling: 100 - unit: "%" - } - } - stat_var_spec { - key: "poverty_rate_male" - value { - stat_var: "Count_Person_Male_BelowPovertyLevelInThePast12Months" - denom: "Count_Person_Male" - scaling: 100 - unit: "%" - } - } - stat_var_spec { - key: "uninsured_rate_female" - value { - stat_var: "Count_Person_Female_NoHealthInsurance" - denom: "Count_Person_NoHealthInsurance" - unit: "%" - scaling: 100 - name: "Female, uninsured" - } - } - stat_var_spec { - key: "uninsured_rate_male" - value { - stat_var: "Count_Person_Male_NoHealthInsurance" - denom: "Count_Person_NoHealthInsurance" - unit: "%" - scaling: 100 - name: "Male, uninsured" - } - } - stat_var_spec { - key: "uninsured_count" - value { - stat_var: "Count_Person_NoHealthInsurance" - } - } - stat_var_spec { - key: "disability_rate_female" - value { - stat_var: "Count_Person_WithDisability_Female" - denom: "Count_Person_Female" - unit: "%" - scaling: 100 - name: "Female, with disability" - } - } - stat_var_spec { - key: "disability_rate_male" - value { - stat_var: "Count_Person_WithDisability_Male" - denom: "Count_Person_Male" - unit: "%" - scaling: 100 - name: "Male, with disability" - } - } - stat_var_spec { - key: "associates_female" - value { - stat_var: "Count_Person_25To34Years_EducationalAttainmentAssociatesDegree_Female" - denom: "Count_Person_25To34Years_Female" - unit: "%" - scaling: 100 - name: "Female" - } - } - stat_var_spec { - key: "associates_male" - value { - stat_var: "Count_Person_25To34Years_EducationalAttainmentAssociatesDegree_Male" - denom: "Count_Person_25To34Years_Male" - unit: "%" - scaling: 100 - name: "Male" - } - } - stat_var_spec { - key: "bachelors_female" - value { - stat_var: "Count_Person_25To34Years_EducationalAttainmentBachelorsDegree_Female" - denom: "Count_Person_25To34Years_Female" - unit: "%" - scaling: 100 - name: "Female" - } - } - stat_var_spec { - key: "bachelors_male" - value { - stat_var: "Count_Person_25To34Years_EducationalAttainmentBachelorsDegree_Male" - denom: "Count_Person_25To34Years_Male" - unit: "%" - scaling: 100 - name: "Male" - } - } - stat_var_spec { - key: "graduate_female" - value { - stat_var: "Count_Person_25To34Years_EducationalAttainmentGraduateOrProfessionalDegree_Female" - denom: "Count_Person_25To34Years_Female" - unit: "%" - scaling: 100 - name: "Female" - } - } - stat_var_spec { - key: "graduate_male" - value { - stat_var: "Count_Person_25To34Years_EducationalAttainmentGraduateOrProfessionalDegree_Male" - denom: "Count_Person_25To34Years_Male" - unit: "%" - scaling: 100 - name: "Male" - } - } -} - -categories { - title: "Equity between races" - description: "The US Census Bureau measures race and ethnicity based on self-identification and may choose to identify with more than one race. The races are White, Black or African American, American Indian or Alaska Native, Asian and Native Hawaiian or Other Pacific Islander. As well, two ethnicities are included: Hispanic or Latino, and Not Hispanic or Latino. For more information, see https://www.census.gov/topics/population/race/about.html and https://www.census.gov/topics/population/hispanic-origin/about.html" - - # TODO: Not available at the country level - # blocks { - # title: "Median income, by race" - # description: "Median incomes of households, broken down by race" - # stat_var_spec { - # stat_var: "Median_Income_Household_HouseholderRaceAmericanIndianOrAlaskaNativeAlone" - # unit: "$" - # } - # stat_var_spec { - # stat_var: "Median_Income_Household_HouseholderRaceAmericanIndianOrAlaskaNativeAlone" - # unit: "$" - # } - # stat_var_spec { - # stat_var: "Median_Income_Household_HouseholderRaceAsianAlone" - # unit: "$" - # } - # stat_var_spec { - # stat_var: "Median_Income_Household_HouseholderRaceBlackOrAfricanAmericanAlone" - # unit: "$" - # } - # stat_var_spec { - # stat_var: "Median_Income_Household_HouseholderRaceHispanicOrLatino" - # unit: "$" - # } - # stat_var_spec { - # stat_var: "Median_Income_Household_HouseholderRaceNativeHawaiianOrOtherPacificIslanderAlone" - # unit: "$" - # } - # stat_var_spec { - # stat_var: "Median_Income_Household_HouseholderRaceWhiteAlone" - # unit: "$" - # } - # columns { - # tiles { - # type: LINE - # title: "Median household income by race" - # } - # } - # columns { - # tiles { - # type: RANKING - # ranking_tile_spec { - # show_highest: true - # } - # } - # } - # } - - blocks { - title: "Median household income by race" - # TODO: This data is not available at the country level! - columns { - tiles { - type: BAR - title: "Median household income by race" - stat_var_key: "income_aian" - stat_var_key: "income_a" - stat_var_key: "income_baa" - stat_var_key: "income_hl" - stat_var_key: "income_nhpi" - stat_var_key: "income_w" - } - } - columns { - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - highest_title: "Highest among ${statVar}" - } - stat_var_key: "income_aian" - stat_var_key: "income_a" - stat_var_key: "income_baa" - stat_var_key: "income_hl" - stat_var_key: "income_nhpi" - stat_var_key: "income_w" - } - } - } - - blocks { - title: "Poverty rate by race" - description: "Percentage of the population of each race living in poverty" - columns { - tiles { - type: LINE - title: "Poverty rate by race in ${placeName}" - stat_var_key: "poverty_aian" - stat_var_key: "poverty_a" - stat_var_key: "poverty_baa" - stat_var_key: "poverty_hl" - stat_var_key: "poverty_nhpi" - stat_var_key: "poverty_w" - } - } - columns { - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - highest_title: "Highest among ${statVar}" - } - stat_var_key: "poverty_aian" - stat_var_key: "poverty_a" - stat_var_key: "poverty_baa" - stat_var_key: "poverty_hl" - stat_var_key: "poverty_nhpi" - stat_var_key: "poverty_w" - } - } - } - - blocks { - title: "Disability status by race" - description: "Percentage of the population of each race with disabilities" - columns { - tiles { - type: LINE - title: "Percentage of the population of each race with disabilities in ${placeName}" - stat_var_key: "disability_aian" - stat_var_key: "disability_a" - stat_var_key: "disability_baa" - stat_var_key: "disability_hl" - stat_var_key: "disability_nhpi" - stat_var_key: "disability_w" - } - } - columns { - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - highest_title: "Highest among ${statVar}" - } - stat_var_key: "disability_aian" - stat_var_key: "disability_a" - stat_var_key: "disability_baa" - stat_var_key: "disability_hl" - stat_var_key: "disability_nhpi" - stat_var_key: "disability_w" - } - } - } - - blocks { - title: "Correctional facility residents by race" - description: "Percentage of the population of each facility type, broken down by race" - columns { - # TODO(bhoot): Count_Person_ResidesInJuvenileFacilities is not available at the country level - # tiles { - # title: "Percentage of the population in juvenile facilities, ${placeName} (${date})" - # type: MAP - # stat_var_override { - # stat_var: "Count_Person_ResidesInJuvenileFacilities" - # denom: "Count_Person" - # scaling: 100 - # unit: "%" - # } - # } - tiles { - title: "Racial breakdown of juvenile facility residents" - type: LINE - stat_var_key: "juvie_aian" - stat_var_key: "juvie_a" - stat_var_key: "juvie_baa" - stat_var_key: "juvie_hl" - stat_var_key: "juvie_nhpi" - stat_var_key: "juvie_w" - } - } - columns { - # TODO: Enable when juvenile map is available. - # tiles { - # title: "Percentage of the population in adult correctional facilities, ${placeName} (${date})" - # type: MAP - # stat_var_override { - # stat_var: "Count_Person_ResidesInAdultCorrectionalFacilities" - # denom: "Count_Person" - # scaling: 100 - # unit: "%" - # } - # } - tiles { - title: "Racial breakdown of adult correctional facility residents" - type: LINE - stat_var_key: "jail_aian" - stat_var_key: "jail_a" - stat_var_key: "jail_baa" - stat_var_key: "jail_hl" - stat_var_key: "jail_nhpi" - stat_var_key: "jail_w" - } - } - } - blocks { - # Title intentionally left out to "merge" with previous block - description: "Percentage of the population of each race living in correctional facilities" - columns { - tiles { - title: "Percentage of each race in correctional facilities" - type: LINE - stat_var_key: "juvie_rate_aian" - stat_var_key: "juvie_rate_a" - stat_var_key: "juvie_rate_baa" - stat_var_key: "juvie_rate_hl" - stat_var_key: "juvie_rate_nhpi" - stat_var_key: "juvie_rate_w" - } - } - columns { - tiles { - title: "Percentage of each race in correctional facilities" - type: LINE - stat_var_key: "jail_rate_aian" - stat_var_key: "jail_rate_a" - stat_var_key: "jail_rate_baa" - stat_var_key: "jail_rate_hl" - stat_var_key: "jail_rate_nhpi" - stat_var_key: "jail_rate_w" - } - } - } - - stat_var_spec { - key: "income_aian" - value { - stat_var: "Median_Income_Household_HouseholderRaceAmericanIndianOrAlaskaNativeAlone" - unit: "$" - name: "American Indian or Alaska Native" - } - } - stat_var_spec { - key: "income_a" - value { - stat_var: "Median_Income_Household_HouseholderRaceAsianAlone" - unit: "$" - name: "Asian" - } - } - stat_var_spec { - key: "income_baa" - value { - stat_var: "Median_Income_Household_HouseholderRaceBlackOrAfricanAmericanAlone" - unit: "$" - name: "Black or African American" - } - } - stat_var_spec { - key: "income_hl" - value { - stat_var: "Median_Income_Household_HouseholderRaceHispanicOrLatino" - unit: "$" - name: "Hispanic or Latino" - } - } - stat_var_spec { - key: "income_nhpi" - value { - stat_var: "Median_Income_Household_HouseholderRaceNativeHawaiianOrOtherPacificIslanderAlone" - unit: "$" - name: "Native Hawaiian or Pacific Islander" - } - } - stat_var_spec { - key: "income_w" - value { - stat_var: "Median_Income_Household_HouseholderRaceWhiteAlone" - unit: "$" - name: "White" - } - } - - stat_var_spec { - key: "poverty_aian" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_AmericanIndianOrAlaskaNativeAlone" - denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" - scaling: 100 - unit: "%" - } - } - stat_var_spec { - key: "poverty_a" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_AsianAlone" - denom: "Count_Person_AsianAlone" - scaling: 100 - unit: "%" - } - } - stat_var_spec { - key: "poverty_baa" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_BlackOrAfricanAmericanAlone" - denom: "Count_Person_BlackOrAfricanAmericanAlone" - scaling: 100 - unit: "%" - } - } - stat_var_spec { - key: "poverty_hl" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_HispanicOrLatino" - denom: "Count_Person_HispanicOrLatino" - scaling: 100 - unit: "%" - } - } - stat_var_spec { - key: "poverty_nhpi" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_NativeHawaiianOrOtherPacificIslanderAlone" - denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" - scaling: 100 - unit: "%" - } - } - stat_var_spec { - key: "poverty_w" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months_WhiteAlone" - denom: "Count_Person_WhiteAlone" - scaling: 100 - unit: "%" - } - } - - stat_var_spec { - key: "disability_aian" - value { - stat_var: "Count_Person_WithDisability_AmericanIndianOrAlaskaNativeAlone" - denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" - scaling: 100 - unit: "%" - name: "American Indian or Alaska Native" - } - } - stat_var_spec { - key: "disability_a" - value { - stat_var: "Count_Person_WithDisability_AsianAlone" - denom: "Count_Person_AsianAlone" - scaling: 100 - unit: "%" - name: "Asian" - } - } - stat_var_spec { - key: "disability_baa" - value { - stat_var: "Count_Person_WithDisability_BlackOrAfricanAmericanAlone" - denom: "Count_Person_BlackOrAfricanAmericanAlone" - scaling: 100 - unit: "%" - name: "Black or African American" - } - } - stat_var_spec { - key: "disability_hl" - value { - stat_var: "Count_Person_WithDisability_HispanicOrLatino" - denom: "Count_Person_HispanicOrLatino" - scaling: 100 - unit: "%" - name: "Hispanic or Latino" - } - } - stat_var_spec { - key: "disability_nhpi" - value { - stat_var: "Count_Person_WithDisability_NativeHawaiianOrOtherPacificIslanderAlone" - denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" - scaling: 100 - unit: "%" - name: "Native Hawaiian or Pacific Islander" - } - } - stat_var_spec { - key: "disability_w" - value { - stat_var: "Count_Person_WithDisability_WhiteAlone" - denom: "Count_Person_WhiteAlone" - scaling: 100 - unit: "%" - name: "White" - } - } - - stat_var_spec { - key: "juvie_aian" - value { - stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_ResidesInJuvenileFacilities" - scaling: 100 - unit: "%" - name: "American Indian or Alaska Native" - } - } - stat_var_spec { - key: "juvie_a" - value { - stat_var: "Count_Person_AsianAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_ResidesInJuvenileFacilities" - scaling: 100 - unit: "%" - name: "Asian" - } - } - stat_var_spec { - key: "juvie_baa" - value { - stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_ResidesInJuvenileFacilities" - scaling: 100 - unit: "%" - name: "Black or African American" - } - } - stat_var_spec { - key: "juvie_hl" - value { - stat_var: "Count_Person_HispanicOrLatino_ResidesInJuvenileFacilities" - denom: "Count_Person_ResidesInJuvenileFacilities" - scaling: 100 - unit: "%" - name: "Hispanic or Latino" - } - } - stat_var_spec { - key: "juvie_nhpi" - value { - stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_ResidesInJuvenileFacilities" - scaling: 100 - unit: "%" - name: "Native Hawaiian or Pacific Islander" - } - } - stat_var_spec { - key: "juvie_w" - value { - stat_var: "Count_Person_WhiteAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_ResidesInJuvenileFacilities" - scaling: 100 - unit: "%" - name: "White" - } - } - - stat_var_spec { - key: "jail_aian" - value { - stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_ResidesInAdultCorrectionalFacilities" - scaling: 100 - unit: "%" - name: "American Indian or Alaska Native" - } - } - stat_var_spec { - key: "jail_a" - value { - stat_var: "Count_Person_AsianAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_ResidesInAdultCorrectionalFacilities" - scaling: 100 - unit: "%" - name: "Asian" - } - } - stat_var_spec { - key: "jail_baa" - value { - stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_ResidesInAdultCorrectionalFacilities" - scaling: 100 - unit: "%" - name: "Black or African American" - } - } - stat_var_spec { - key: "jail_hl" - value { - stat_var: "Count_Person_HispanicOrLatino_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_ResidesInAdultCorrectionalFacilities" - scaling: 100 - unit: "%" - name: "Hispanic or Latino" - } - } - stat_var_spec { - key: "jail_nhpi" - value { - stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_ResidesInAdultCorrectionalFacilities" - scaling: 100 - unit: "%" - name: "Native Hawaiian or Pacific Islander" - } - } - stat_var_spec { - key: "jail_w" - value { - stat_var: "Count_Person_WhiteAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_ResidesInAdultCorrectionalFacilities" - scaling: 100 - unit: "%" - name: "White" - } - } - - stat_var_spec { - key: "juvie_rate_aian" - value { - stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" - scaling: 100 - unit: "%" - name: "American Indian or Alaska Native" - } - } - stat_var_spec { - key: "juvie_rate_a" - value { - stat_var: "Count_Person_AsianAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_AsianAlone" - scaling: 100 - unit: "%" - name: "Asian" - } - } - stat_var_spec { - key: "juvie_rate_baa" - value { - stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_BlackOrAfricanAmericanAlone" - scaling: 100 - unit: "%" - name: "Black or African American" - } - } - stat_var_spec { - key: "juvie_rate_hl" - value { - stat_var: "Count_Person_HispanicOrLatino_ResidesInJuvenileFacilities" - denom: "Count_Person_HispanicOrLatino" - scaling: 100 - unit: "%" - name: "Hispanic or Latino" - } - } - stat_var_spec { - key: "juvie_rate_nhpi" - value { - stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" - scaling: 100 - unit: "%" - name: "Native Hawaiian or Pacific Islander" - } - } - stat_var_spec { - key: "juvie_rate_w" - value { - stat_var: "Count_Person_WhiteAlone_ResidesInJuvenileFacilities" - denom: "Count_Person_WhiteAlone" - scaling: 100 - unit: "%" - name: "White" - } - } - - stat_var_spec { - key: "jail_rate_aian" - value { - stat_var: "Count_Person_AmericanIndianOrAlaskaNativeAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_AmericanIndianOrAlaskaNativeAlone" - scaling: 100 - unit: "%" - name: "American Indian or Alaska Native" - } - } - stat_var_spec { - key: "jail_rate_a" - value { - stat_var: "Count_Person_AsianAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_AsianAlone" - scaling: 100 - unit: "%" - name: "Asian" - } - } - stat_var_spec { - key: "jail_rate_baa" - value { - stat_var: "Count_Person_BlackOrAfricanAmericanAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_BlackOrAfricanAmericanAlone" - scaling: 100 - unit: "%" - name: "Black or African American" - } - } - stat_var_spec { - key: "jail_rate_hl" - value { - stat_var: "Count_Person_HispanicOrLatino_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_HispanicOrLatino" - scaling: 100 - unit: "%" - name: "Hispanic or Latino" - } - } - stat_var_spec { - key: "jail_rate_nhpi" - value { - stat_var: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_NativeHawaiianOrOtherPacificIslanderAlone" - scaling: 100 - unit: "%" - name: "Native Hawaiian or Pacific Islander" - } - } - stat_var_spec { - key: "jail_rate_w" - value { - stat_var: "Count_Person_WhiteAlone_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_WhiteAlone" - scaling: 100 - unit: "%" - name: "White" - } - } -} - -categories { - title: "Disability status" - description: "The US Census Bureau collects data on disability through a few programs which have different definitions of disability. The data in this section is from the American Community Survey (ACS) which includes six questions on the topic. Respondents reporting hearing, vision, cognitive, ambulatory, self-care or independent living difficulties are considered to have a disability. For more information, see https://www.census.gov/topics/health/disability/guidance/data-collection-acs.html" - - blocks { - columns { - tiles { - title: "Percentage of the population with disabilities (${date})" - type: MAP - stat_var_key: "disability_rate" - } - } - columns { - tiles { - type: HIGHLIGHT - description: "of Americans have disabilities (${date})" - stat_var_key: "disability_rate" - } - - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - show_lowest: true - } - stat_var_key: "disability_rate" - } - } - } - - blocks { - title: "Without health insurance" - columns { - tiles { - type: HIGHLIGHT - description: "of Americans with disabilities have no health insurance (${date})" - stat_var_key: "disabled_uninsured_rate" - } - - tiles { - type: RANKING - ranking_tile_spec { - show_highest: true - show_lowest: true - } - stat_var_key: "disabled_uninsured_rate" - } - } - columns { - tiles { - title: "Percentage of the population with disabilities (${date})" - type: MAP - stat_var_key: "disabled_uninsured_rate" - } - } - - } - - # TODO: Computed percentages does not sum up to 100% with uninsured block. - # blocks { - # title: "With health insurance" - # stat_var_spec { - # stat_var: "Count_Person_WithHealthInsurance_WithDisability" - # denom: "Count_Person_WithDisability" - # name: "Percentage of people with disabilities and health insurance" - # unit: "%" - # scaling: 100 - # } - # columns { - # tiles { - # title: "Percentage of the population with disabilities and health insurance (${date})" - # type: MAP - # } - # } - # columns { - # # TODO(pradh): Count_Person_WithHealthInsurance_WithDisability not available at country level. - # # tiles { - # # type: HIGHLIGHT - # # description: "of Americans with disabilities have health insurance (${date})" - # # } - # tiles { - # type: RANKING - # ranking_tile_spec { - # show_highest: true - # show_lowest: true - # } - # } - # } - # } - - # TODO(beets): The charts here would be better as percentages, but there is no denominator: Count_Household_WithDisability - blocks { - title: "Food assistance for households with disabilities" - description: "Number of households with one or more people with a disability receiving food stamps in the last 12 months." - columns { - tiles { - type: MAP - title: "Number of households with one or more people with a disability receiving food stamps (${date})" - stat_var_key: "disabled_foodstamps" - } - } - columns { - tiles { - type: MAP - title: "Number of households with one or more people with a disability not receiving food stamps (${date})" - stat_var_key: "disabled_nofoodstamps" - } - } - } - - - blocks { - title: "Correctional facility residents with disabilities" - description: "Percentage of the population of each facility type with disabiliites" - columns { - # TODO(bhoot): This data is not available at the state level. Neither is the "no disability" corrolary data. - # tiles { - # title: "Percentage of the juvenile facility residents with disabiliites (${date})" - # type: MAP - # } - tiles { - title: "Percentage of the juvenile facility residents with disabiliites" - type: LINE - stat_var_key: "disabled_juvie" - } - } - columns { - tiles { - title: "Percentage of the adult correctional facility residents with disabiliites (${date})" - type: MAP - stat_var_key: "disabled_jail" - } - } - } - - stat_var_spec { - key: "disability_rate" - value { - stat_var: "Count_Person_WithDisability" - denom: "Count_Person" - name: "Percentage of people with disability" - unit: "%" - scaling: 100 - } - } - stat_var_spec { - key: "disabled_uninsured_rate" - value { - stat_var: "Count_Person_NoHealthInsurance_WithDisability" - denom: "Count_Person_WithDisability" - name: "Percentage of people with disabilities and no health insurance" - unit: "%" - scaling: 100 - } - } - stat_var_spec { - key: "disabled_foodstamps" - value { - stat_var: "Count_Household_WithFoodStampsInThePast12Months_WithDisability" - } - } - stat_var_spec { - key: "disabled_nofoodstamps" - value { - stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_WithDisability" - } - } - stat_var_spec { - key: "disabled_juvie" - value { - stat_var: "Count_Person_WithDisability_ResidesInJuvenileFacilities" - denom: "Count_Person_ResidesInJuvenileFacilities" - scaling: 100 - unit: "%" - name: "With disability" - } - } - stat_var_spec { - key: "disabled_jail" - value { - stat_var: "Count_Person_WithDisability_ResidesInAdultCorrectionalFacilities" - denom: "Count_Person_ResidesInAdultCorrectionalFacilities" - scaling: 100 - unit: "%" - } - } -} \ No newline at end of file diff --git a/server/lib/util.py b/server/lib/util.py index ce63c25242..dade5c8247 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -51,10 +51,11 @@ 'poverty': ['USA', 'India'], 'dev': ['CA'], 'sdg': ['sdg'], - 'foodsecurity' : ['USA', 'CA'], + 'foodsecurity' : ['CA'], 'economic-and-social-growth' : ['COL'], 'dc2_2' : ['NGA'], 'dc2_4' : ['USA'], + 'climate_allvars' : ['USA'], 'playground' : ['US_Places'] } diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index 25b970c800..b42c7c3868 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -28,8 +28,8 @@ import logging # TechSoup - add search bar and child places -_TOPICS_TO_DISPLAY_SEARCH_BAR = ["dc2_4"] -_TOPICS_TO_SHOW_CHILD_PLACES = ["dc2_4"] +_TOPICS_TO_DISPLAY_SEARCH_BAR = ["dc2_4", "climate"] +_TOPICS_TO_SHOW_CHILD_PLACES = ["dc2_4", "climate"] _NL_DISASTER_TOPIC = 'nl_disasters' _SDG_TOPIC = 'sdg' From 705d28458db8da83c1a24365d012fd0e3243afa9 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Thu, 24 Aug 2023 17:27:51 -0700 Subject: [PATCH 35/84] show child places --- server/routes/topic_page/html.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index b42c7c3868..040da6f557 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -28,8 +28,8 @@ import logging # TechSoup - add search bar and child places -_TOPICS_TO_DISPLAY_SEARCH_BAR = ["dc2_4", "climate"] -_TOPICS_TO_SHOW_CHILD_PLACES = ["dc2_4", "climate"] +_TOPICS_TO_DISPLAY_SEARCH_BAR = ["dc2_4", "climate_allvars"] +_TOPICS_TO_SHOW_CHILD_PLACES = ["dc2_4", "climate_allvars"] _NL_DISASTER_TOPIC = 'nl_disasters' _SDG_TOPIC = 'sdg' From a4a589bd0f89abf3e32a3d2fc0a83e9636f561de Mon Sep 17 00:00:00 2001 From: caseylivingood <32850064+caseylivingood@users.noreply.github.com> Date: Fri, 25 Aug 2023 02:11:21 +0000 Subject: [PATCH 36/84] Updates to colombia file --- server/config/subject_page_pb2.py | 124 +++++++++--------- .../economic-and-social-growth/COL.textproto | 25 ++-- 2 files changed, 75 insertions(+), 74 deletions(-) diff --git a/server/config/subject_page_pb2.py b/server/config/subject_page_pb2.py index 4c18878ea7..abd748359b 100644 --- a/server/config/subject_page_pb2.py +++ b/server/config/subject_page_pb2.py @@ -2,10 +2,10 @@ # Generated by the protocol buffer compiler. DO NOT EDIT! # source: subject_page.proto """Generated protocol buffer code.""" -from google.protobuf.internal import builder as _builder from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import symbol_database as _symbol_database +from google.protobuf.internal import builder as _builder # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() @@ -15,10 +15,10 @@ DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x12subject_page.proto\x12\x0b\x64\x61tacommons\"l\n\x0eSeverityFilter\x12\x0c\n\x04prop\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x05 \x01(\t\x12\x0c\n\x04unit\x18\x02 \x01(\t\x12\x13\n\x0blower_limit\x18\x03 \x01(\x01\x12\x13\n\x0bupper_limit\x18\x04 \x01(\x01\"\x9b\x04\n\rEventTypeSpec\x12\n\n\x02id\x18\x01 \x01(\t\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\x18\n\x10\x65vent_type_dcids\x18\x03 \x03(\t\x12\r\n\x05\x63olor\x18\x04 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_EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._options = None _EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._serialized_options = b'8\001' @@ -30,62 +30,62 @@ _CATEGORY_STATVARSPECENTRY._serialized_options = b'8\001' _SUBJECTPAGECONFIG_SUGGESTIONSENTRY._options = None _SUBJECTPAGECONFIG_SUGGESTIONSENTRY._serialized_options = b'8\001' - _SEVERITYFILTER._serialized_start=35 - _SEVERITYFILTER._serialized_end=143 - _EVENTTYPESPEC._serialized_start=146 - _EVENTTYPESPEC._serialized_end=685 - _EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._serialized_start=529 - _EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._serialized_end=620 - _EVENTTYPESPEC_DISPLAYPROP._serialized_start=622 - _EVENTTYPESPEC_DISPLAYPROP._serialized_end=685 - _PAGEMETADATA._serialized_start=688 - _PAGEMETADATA._serialized_end=1171 - _PAGEMETADATA_CONTAINEDPLACETYPESENTRY._serialized_start=975 - _PAGEMETADATA_CONTAINEDPLACETYPESENTRY._serialized_end=1033 - _PAGEMETADATA_EVENTTYPESPECENTRY._serialized_start=1035 - 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_globals['_TILE_TILETYPE']._serialized_start=2676 + _globals['_TILE_TILETYPE']._serialized_end=2887 + _globals['_BLOCK']._serialized_start=2908 + _globals['_BLOCK']._serialized_end=3190 + _globals['_BLOCK_COLUMN']._serialized_start=3100 + _globals['_BLOCK_COLUMN']._serialized_end=3142 + _globals['_BLOCK_BLOCKTYPE']._serialized_start=3144 + _globals['_BLOCK_BLOCKTYPE']._serialized_end=3190 + _globals['_CATEGORY']._serialized_start=3193 + _globals['_CATEGORY']._serialized_end=3430 + _globals['_CATEGORY_STATVARSPECENTRY']._serialized_start=3354 + _globals['_CATEGORY_STATVARSPECENTRY']._serialized_end=3430 + _globals['_SUGGESTION']._serialized_start=3433 + _globals['_SUGGESTION']._serialized_end=3644 + _globals['_SUGGESTION_ITEM']._serialized_start=3492 + _globals['_SUGGESTION_ITEM']._serialized_end=3538 + _globals['_SUGGESTION_TYPE']._serialized_start=3540 + _globals['_SUGGESTION_TYPE']._serialized_end=3644 + _globals['_SUBJECTPAGECONFIG']._serialized_start=3647 + _globals['_SUBJECTPAGECONFIG']._serialized_end=3901 + _globals['_SUBJECTPAGECONFIG_SUGGESTIONSENTRY']._serialized_start=3826 + _globals['_SUBJECTPAGECONFIG_SUGGESTIONSENTRY']._serialized_end=3901 # @@protoc_insertion_point(module_scope) diff --git a/server/config/topic_page/economic-and-social-growth/COL.textproto b/server/config/topic_page/economic-and-social-growth/COL.textproto index d8b2afc497..2288c0b8b8 100644 --- a/server/config/topic_page/economic-and-social-growth/COL.textproto +++ b/server/config/topic_page/economic-and-social-growth/COL.textproto @@ -107,7 +107,7 @@ categories { columns { tiles { type: LINE - title: "${placeName}'s employed population below the poverty line" + title: "${placeName}'s Employed Population Below the Poverty Line" stat_var_key: "empl_poverty_rate_15_24" stat_var_key: "empl_poverty_rate_15_older" stat_var_key: "empl_poverty_rate_25_older" @@ -160,7 +160,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "Economic growth has also contributed to a decrease in the infant mortality rate, the main indicator for measuring the quality of health systems. With higher incomes, families have access to more and better food, medicines, and sanitary implements in their homes. It has also allowed the universalization of public services such as drinking water, which provides better guarantees for life, especially for the children." + description: "Economic growth has also contributed to a decrease in the infant mortality rate, the main indicator for measuring the quality of health systems. With higher incomes, families have access to more and better food, medicines, internet, and sanitary conditions in their homes." } } } @@ -169,15 +169,15 @@ categories { columns { tiles { type: LINE - title: "Infant Mortality Rate" + title: "Number of Infant Deaths (Per 1,000 Live Births)" stat_var_key: "infant_mortality" } } columns { tiles { type: LINE - title: "Access to Basic Drinking Water Services" - stat_var_key: "basic_water_services_pc" + title: "Percent of Internet Users" + stat_var_key: "Count_Person_IsInternetUser_PerCapita" } } } @@ -186,7 +186,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "The data shows that the better the economy, the better the quality of life in the region and the country. Unfortunately, not all the correlations are on the good side. LATAM, and specially Colombia, concentrates a large part of the world's drug production, which leads it to be a center of operations of transnational criminal organizations, resulting in constant attacks against the civil population." + description: "The data shows that the better the economy, the better the quality of life. Unfortunately, not all the correlations are on the good side. LATAM, and especially Colombia, houses a large part of the world's drug production, which leads it to be a center of operations of transnational criminal organizations and violence against the civilian population." } } } @@ -266,10 +266,10 @@ categories { } } stat_var_spec { - key: "basic_water_services_pc" + key: "Count_Person_IsInternetUser_PerCapita" value { - stat_var: "sdg/SP_ACS_BSRVH2O" - name: "Proportion of population using basic drinking water services" + stat_var: "Count_Person_IsInternetUser_PerCapita" + name: "Percent of Internet Users" unit: "%" } } @@ -285,7 +285,7 @@ categories { columns { tiles { type: BAR - title: "Homicides in LATAM" + title: "Number of Homicides (Per 100,000 People)" stat_var_key: "homicides_pc" comparison_places: "self" comparison_places: "country/VEN" @@ -298,7 +298,7 @@ categories { blocks { title: "GDP Growth and Violence" - description: "When the economy grows, the lives of the inhabitants improve by increasing access to basic services such as health, education, work, and security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert." + description: "When the economy grows, the lives of the inhabitants improve by increasing access to basic services such as health, education, internet, jobs, and security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert." columns { tiles { @@ -310,7 +310,7 @@ categories { columns { tiles { type: LINE - title: "Violence in ${placeName}" + title: "Number of Homicides (Per 100,000 People)" stat_var_key: "homicides_pc" } } @@ -330,6 +330,7 @@ categories { value { stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_AsFractionOf_Count_Person" name: "Murder and Non Negligent Manslaughter Cases Per Capita" + scaling: 100000 } } stat_var_spec { From 0683306876c6bccc7c7e525d88b2ea78f8d64851 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Fri, 25 Aug 2023 08:06:03 -0700 Subject: [PATCH 37/84] Show all child places and sort by name --- deploy/helm_charts/envs/techsoup.yaml | 2 +- server/lib/subject_page_config.py | 13 +++++++++---- server/routes/topic_page/html.py | 2 +- 3 files changed, 11 insertions(+), 6 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index f61bc4aad6..c1f9e50839 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 53c9f98 + tag: 705d284 flaskEnv: custom replicas: 1 diff --git a/server/lib/subject_page_config.py b/server/lib/subject_page_config.py index 20d958f853..6cfec56253 100644 --- a/server/lib/subject_page_config.py +++ b/server/lib/subject_page_config.py @@ -251,7 +251,9 @@ def remove_empty_charts(page_config, place_dcid, contained_place_type=None): def place_metadata(place_dcid, get_child_places=True, arg_place_type=None, - arg_place_name=None) -> PlaceMetadata: + arg_place_name=None, + arg_child_places_sortbyname=False, + arg_limit_child_places=True) -> PlaceMetadata: """ Returns place metadata needed to render a subject page config for a given dcid. """ @@ -298,9 +300,12 @@ def place_metadata(place_dcid, if get_child_places: child_places = place_api.child_fetch(place_dcid) for place_type in child_places: - child_places[place_type].sort(key=lambda x: x['pop'], reverse=True) - child_places[place_type] = child_places[place_type][:place_api. - CHILD_PLACE_LIMIT] + if arg_child_places_sortbyname: + child_places[place_type].sort(key=lambda x: x['name'], reverse=False) + else: + child_places[place_type].sort(key=lambda x: x['pop'], reverse=True) + if arg_limit_child_places: + child_places[place_type] = child_places[place_type][:place_api.CHILD_PLACE_LIMIT] # Filter out unsupported place types supported_place_types = set(contained_place_types.keys()) diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index 040da6f557..9666c0c5e0 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -149,7 +149,7 @@ def topic_page(topic_id=None, place_dcid=None): # [TECHSOUP] call place_metadata function to get child places. TO DO: refactor to avoid redundant info returned by place_metadata if topic_id in _TOPICS_TO_SHOW_CHILD_PLACES: show_child_places = True - place_metadata = lib_subject_page_config.place_metadata(place_dcid) + place_metadata = lib_subject_page_config.place_metadata(place_dcid, True, None, None, 'name', False) place_children = place_metadata.child_places else: show_child_places = False From bec9b9490ab26cad289f048e0aae6f4b7601f0ca Mon Sep 17 00:00:00 2001 From: caseylivingood <32850064+caseylivingood@users.noreply.github.com> Date: Fri, 25 Aug 2023 23:58:36 +0000 Subject: [PATCH 38/84] Updates to food security page --- server/config/topic_page/dc2_4/USA.textproto | 379 +++++++++++++------ 1 file changed, 263 insertions(+), 116 deletions(-) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/dc2_4/USA.textproto index 7b094e5407..3de2fccc42 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/dc2_4/USA.textproto @@ -50,14 +50,14 @@ categories { #------- FOOD ASSISTANCE -------# - ### NEW BLOCK ### + ### NEW BLOCK ### blocks { - description: "Food assistance programs address food insecurity in a variety of ways by providing critical resources, such as bulk food, prepared meals, community gardens, subsidized or free groceries, and other local community efforts. These safety net programs during times of financial hardship or emergencies help families stabilize by providing financial assistance and access to balanced, nutritional meals. " + description: "Food assistance programs address food insecurity in a variety of ways by providing critical resources, such as bulk food, prepared meals, community gardens, subsidized or free groceries, and other local community efforts. These safety net programs during times of financial hardship or emergencies help families stabilize by providing financial assistance and access to balanced, nutritional meals.\n\nWhat factors might contribute to individuals not utilizing SNAP?" columns { tiles { type: HIGHLIGHT - description: "Households in the United States live in poverty but do not receive food assistance (SNAP)" - stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + description: "People live in poverty" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } tiles { type: RANKING @@ -65,90 +65,100 @@ categories { show_highest: true show_lowest: true } - stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } } columns { tiles { type: MAP - title: "% of Households in Poverty and Not Receiving SNAP" - stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" + title: "Population Living In Poverty (${date})" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } } } stat_var_spec { - key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" - value { - stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" - name: "Households Not Receiving Food Stamps in Last Year, Income Below Poverty Level" - } - } - - stat_var_spec { - key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" + key: "Count_Person_BelowPovertyLevelInThePast12Months" value { - stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" - name: "Households Not Receiving Food Stamps in Last Year, Income Below Poverty Level" - denom: "Count_Household" - scaling: 100 - unit: "%" + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" + name: "Population Living In Poverty" } } ### NEW BLOCK ### blocks { columns { + tiles { + type: HIGHLIGHT + description: "Of people live in poverty" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" + } tiles { type: RANKING ranking_tile_spec { show_highest: true show_lowest: true } - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" } } columns { tiles { type: MAP - title: "Population Below Poverty Level Status in Past Year ${date}" - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" + title: "Percentage of Population Living In Poverty (${date})" + stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" } } } stat_var_spec { - key: "Count_Person_BelowPovertyLevelInThePast12Months" + key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" value { stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" - name: "Population Below Poverty Level" + denom: "Count_Person" + name: "Percentage of Population Living In Poverty" + scaling: 100 + unit: "%" } } ### NEW BLOCK ### blocks { columns { + tiles { + type: HIGHLIGHT + description: "Households in the United States live in poverty but do not receive food assistance (SNAP)" + stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + } tiles { type: RANKING ranking_tile_spec { show_highest: true show_lowest: true } - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" + stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" } } columns { tiles { type: MAP - title: "% of Population Below Poverty Level ${date}" - stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" + title: "Percentage of Households in Poverty and Not Receiving SNAP (${date})" + stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" } } } stat_var_spec { - key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" + key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" - denom: "Count_Person" - name: "% of Population Below Poverty Level" + stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + name: "Households Not Receiving Food Stamps in Last Year, Income Below Poverty Level" + } + } + + stat_var_spec { + key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" + value { + stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" + name: "Percentage of Households in Poverty and Not Receiving SNAP" + denom: "Count_Household" scaling: 100 unit: "%" } @@ -162,14 +172,14 @@ categories { description: "Income and the cost of living can help us understand where and how food insecurity impacts communities at the local level. Often, though, communities with higher costs of living result in some populations living below the poverty line and having low access to balanced, nutritional meals." columns { tiles { - title: "Median Income for All Households ${date}" + title: "Median Income (${date})" type: MAP stat_var_key: "Median_Income_Household" } } columns { tiles { - title: "Median Gross Rent of Housing Unit: With Cash Rent ${date}" + title: "Median Rent (${date})" type: MAP stat_var_key: "Median_GrossRent_HousingUnit_WithCashRent_OccupiedHousingUnit_RenterOccupied" } @@ -179,14 +189,14 @@ categories { key: "Median_Income_Household" value { stat_var: "Median_Income_Household" - name: "Median Income for All Households" + name: "Median Income" } } stat_var_spec { key: "Median_GrossRent_HousingUnit_WithCashRent_OccupiedHousingUnit_RenterOccupied" value { stat_var: "Median_GrossRent_HousingUnit_WithCashRent_OccupiedHousingUnit_RenterOccupied" - name: "Median Gross Rent of Housing Unit: With Cash Rent" + name: "Median Rent" } } @@ -195,17 +205,17 @@ categories { ### NEW BLOCK ### blocks { title: "Poverty and Unemployment" - description: "Unemployment can impact families in a variety of difficult ways, including needing to prioritize bills over groceries. Policies and programs that support individuals in finding stable employment can play a significant role in alleviating food insecurity. However, fluctuations in income — even among those who are employed — can lead to food insecurity. Unemployment and poverty both speak to how difficult it is for households to consistently meet their household's nutritional needs." + description: "Unemployment can impact families in a variety of difficult ways, including needing to prioritize bills over groceries. Policies and programs that support individuals in finding stable employment can play a significant role in alleviating food insecurity. However, fluctuations in income — even among those who are employed — can lead to food insecurity. Unemployment and poverty both speak to how difficult it is for households to consistently meet their household's nutritional needs.\n\nHow is food insecurity in rural areas different from food insecurity in urban areas?" columns { tiles { type: MAP - title: "% of Population Below Poverty Level ${date}" + title: "Percentage of Population Living In Poverty (${date})" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" } } columns { tiles { - title: "Unemployment Rate of a Population ${date}" + title: "Unemployment Rate (${date})" type: MAP stat_var_key: "UnemploymentRate_Person" } @@ -227,13 +237,13 @@ categories { columns { tiles { type: HIGHLIGHT - description: "Working Age Adults Who Do Not Speak English At Home" + description: "Working-age adults who do not speak English at home" stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" } } columns { tiles { - title: "Working Age Adults Who Do Not Speak English At Home" + title: "Working-Age Adults Who Do Not Speak English At Home" type: LINE stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" } @@ -243,12 +253,12 @@ categories { columns { tiles { type: DESCRIPTION - description: "Language proficiency can play a role in food security. Finding and accessing assistance programs can be challenging when a person does not read or write in English. Understanding the language spoken at home can also help food security organizations — like pantries — tailor their offerings and materials to fit the language and culture of a community. " + description: "Language proficiency can play a role in food security. Finding and accessing assistance programs can be challenging when a person does not read or write in English. Granted that many of the individuals represented in this data have some degree of English proficiency, understanding the language spoken at home can also help food security organizations — like pantries — tailor their offerings and materials to fit the language and culture of a community." } } columns { tiles { - title: "Percentage of Working Age Adults Who Do Not Speak English At Home ${date}" + title: "Percentage of Working Age Adults Who Do Not Speak English At Home (${date})" type: MAP stat_var_key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pct" } @@ -258,25 +268,25 @@ categories { key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" value { stat_var: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" - name: "Population: 18-64 Years, Language Other Than English Per Capita" + name: "Working-Age Adults Who Do Not Speak English At Home" } } stat_var_spec { key: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome_pct" value { stat_var: "Count_Person_18To64Years_LanguageOtherThanEnglishSpokenAtHome" - name: "Population: 18-64 Years, Language Other Than English Per Capita" + name: "Percentage of Working Age Adults Who Do Not Speak English At Home" denom: "Count_Person" scaling: 100 unit: "%" } } -#------- SINGLE MOTHER HOUSEHOLDS -------# +#------- GENDER -------# ### NEW BLOCK ### blocks { - title: "Single Mother Households" + title: "Gender" description: "Single mother households often face exacerbated economic difficulties. Often their households operate with less income and must balance professional work with caregiving responsibilities. When single caregivers rely on day care services, they are left with less income to provide sufficient and nutritious food for their household." columns { tiles { @@ -290,11 +300,12 @@ categories { type: BAR description: "Number of Single Mother Households ${date}" stat_var_key: "Count_Household_SingleMotherFamilyHousehold" - stat_var_key: "Count_Household_FamilyHousehold" + stat_var_key: "Count_Household_SingleFatherFamilyHousehold" comparison_places: "self" } } } + stat_var_spec { key: "Count_Household_SingleMotherFamilyHousehold_pct" value { @@ -310,19 +321,89 @@ categories { key: "Count_Household_SingleMotherFamilyHousehold" value { stat_var: "Count_Household_SingleMotherFamilyHousehold" - name: "Single Mother Family Households" + name: "Single Mother Households" + } + } + + stat_var_spec { + key: "Count_Household_SingleFatherFamilyHousehold" + value { + stat_var: "Count_Household_SingleFatherFamilyHousehold" + name: "Single Father Households" + } + } + + ### NEW BLOCK ### + blocks { + columns { + tiles { + type: HIGHLIGHT + description: "Is the average earnings for women (adjusted for inflation)" + stat_var_key: "Mean_Earnings_Person_Female" + } + tiles { + type: HIGHLIGHT + description: "Is the average earnings for men (adjusted for inflation)" + stat_var_key: "Mean_Earnings_Person_Male" + } + } + columns { + tiles { + type: BAR + description: "Average Earnings (${date})" + stat_var_key: "Mean_Earnings_Person_Female" + stat_var_key: "Mean_Earnings_Person_Male" + comparison_places: "self" + } + } + } + + stat_var_spec { + key: "Mean_Earnings_Person_Female" + value { + stat_var: "Mean_Earnings_Person_Female" + name: "Average Earnings for Women" + unit: "$" + } + } + + stat_var_spec { + key: "Mean_Earnings_Person_Male" + value { + stat_var: "Mean_Earnings_Person_Male" + name: "Average Earnings for Men" + unit: "$" + } + } + + ### NEW BLOCK ### + blocks { + columns { + tiles { + type: HIGHLIGHT + description: "Is the amount below the poverty level that single mother households earn on average" + stat_var_key: "Mean_IncomeDeficit_Household_SingleMotherFamilyHousehold" + } + } + columns { + tiles { + type: DESCRIPTION + description: "Single mothers often have to deal with income disparities since women on average earn less than men. Combined with the pervasiveness of single mother households living in poverty, this financial challenge makes it difficult for mothers to ensure nutritious food is consistently available in their household." + } } } stat_var_spec { - key: "Count_Household_FamilyHousehold" + key: "Mean_IncomeDeficit_Household_SingleMotherFamilyHousehold" value { - stat_var: "Count_Household_FamilyHousehold" - name: "Family Households" + stat_var: "Mean_IncomeDeficit_Household_SingleMotherFamilyHousehold" + name: "Average Income Deficit for Single Mother Households" + unit: "$" } } } + categories { title: "Health and Nutrition" @@ -334,7 +415,7 @@ categories { title: "Community Food Services" columns { tiles { - title: "Count of Establishment: Community Food Services (NAICS/62421) ${date}" + title: "Number of Community Food Services (${date})" type: MAP stat_var_key: "dc/7dcmzwydmtet5" } @@ -346,75 +427,116 @@ categories { } } } + + stat_var_spec { + key: "dc/7dcmzwydmtet5" + value { + stat_var: "dc/7dcmzwydmtet5" + name: "Number of Community Food Services" + } + } + + ### NEW BLOCK ### blocks { columns { tiles { - type: DESCRIPTION - description: "Having more grocery store owners means greater availability of fresh produce and food options, reduces food deserts, and increases competition that drives lower prices. With more stores available, it is more likely that a grocer is nearby, which is important for those who lack access to a vehicle or public transportation.\n\nWhat other factors could provide us with an understanding of food availability in a region?" + type: MAP + title: "Number of Community Food Services (Per 100,000 People)" + stat_var_key: "pc_community_food_services" } } columns { tiles { - title: "Population of Person: Privately Owned, Grocery Stores (NAICS/4451) ${date}" - type: MAP - stat_var_key: "dc/cc51jvbvp0jdf" + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "pc_community_food_services" } + } } + stat_var_spec { - key: "dc/7dcmzwydmtet5" + key: "pc_community_food_services" value { - stat_var: "dc/7dcmzwydmtet5" - name: "Count of Establishment: Community Food Services (NAICS/62421)" + stat_var: "dc/j1kr0ft77ptb6" + denom: "Count_Person" + name: "Number of Community Food Services (Per 100,000 People)" + scaling: 100000 } } + ### NEW BLOCK ### + blocks { + title: "Grocery Stores" + columns { + tiles { + type: DESCRIPTION + description: "Having more grocery store owners means greater availability of fresh produce and food options, reduces food deserts, and increases competition that drives lower prices. With more stores available, it is more likely that a grocer is nearby, which is important for those who lack access to a vehicle or public transportation.\n\nWhat other factors could provide us with an understanding of food availability in a region?" + } + } + columns { + tiles { + title: "Number of Grocery Store Owners (${date})" + type: MAP + stat_var_key: "dc/cc51jvbvp0jdf" + } + } + } + stat_var_spec { key: "dc/cc51jvbvp0jdf" value { stat_var: "dc/cc51jvbvp0jdf" - name: "Population of Person: Privately Owned, Grocery Stores (NAICS/4451)" + name: "Number of Grocery Store Owners" } } - #------- LIFE EXPECTANCY AND HEALTH INSURANCE -------# - ### NEW BLOCK ### blocks { - title: "Life Expectancy and Health Insurance" columns { tiles { - title: "Life Expectancy ${date}" type: MAP - stat_var_key: "LifeExpectancy_Person" + title: "Population with Low Income and Low Access to Grocery Stores" + stat_var_key: "count_lowincome_lowgroceryaccess" } } columns { tiles { - type: DESCRIPTION - description: "Access to an adequate and nutritious diet is crucial for maintaining good health and well-being. Food insecurity leads to a poor diet and contributes to a range of physical and mental health issues, and these health challenges impact life expectancy. Food insecurity is often rooted in poverty and socioeconomic disparities. Low-income households may face barriers to accessing healthcare and health insurance, education, safe housing, and other resources that influence overall health and life expectancy." + type: RANKING + ranking_tile_spec { + show_highest: true + show_lowest: true + } + stat_var_key: "count_lowincome_lowgroceryaccess" } } } + stat_var_spec { - key: "LifeExpectancy_Person" + key: "count_lowincome_lowgroceryaccess" value { - stat_var: "LifeExpectancy_Person" - name: "Life Expectancy" + stat_var: "Low_Income_Low_Access_To_Grocery_Store" + name: "Population with Low Income and Low Access to Grocery Stores" } } - ### NEW BLOCK ### + #------- HEALTH -------# + + ### NEW BLOCK - Health Insurance ### blocks { + title: "Health" columns { tiles { type: DESCRIPTION - description: "Lack of access to health insurance and healthcare can contribute to a cycle of poor health and poverty. Having a health emergency without health insurance is costly, can put you into a debt cycle, and can create challenges to getting nutritious food. Additionally, preventative care – which is generally inexpensive with health insurance – helps avoid costly health procedures in the future. Being in a situation that foregoes preventative care costs families more in the long run." + description: "Lack of access to health insurance and healthcare can contribute to a cycle of poor health and poverty. Having a health emergency without health insurance is costly, can put you into a debt cycle, and can create challenges to getting nutritious food. Additionally, preventative care – which is generally inexpensive with health insurance – helps avoid costly health procedures in the future. Being in a situation that foregoes preventative care costs families more in the long run.\n\nWhat are other ways families must choose between food and health?" } } columns { tiles { - title: "% Population Without Health Insurance ${date}" + title: "Percentage of Population Without Health Insurance (${date})" type: MAP stat_var_key: "Count_Person_NoHealthInsurance_pct" } @@ -425,22 +547,14 @@ categories { key: "Count_Person_NoHealthInsurance_pct" value { stat_var: "Count_Person_NoHealthInsurance" - name: "Population Without Health Insurance Per Capita" + name: "Percentage of Population Without Health Insurance" denom: "Count_Person" scaling: 100 unit: "%" } } - - stat_var_spec { - key: "Count_Person_BelowPovertyLevelInThePast12Months" - value { - stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" - name: "Population Below Poverty Level Status in Past Year" - } - } - ### NEW BLOCK ### + ### NEW BLOCK - Annual Health Checkups ### blocks { columns { tiles { @@ -465,12 +579,9 @@ categories { } } - #------- HEALTH CONDITIONS -------# - ### NEW BLOCK ### blocks { - title: "Health Conditions" - description: "Food insecurity often leads to limited access to nutritious foods, which can result in a diet that is high in unhealthy, processed foods and low in heart-healthy foods such as fruits, vegetables, whole grains, and lean proteins. This type of diet increases the risk of developing type 2 diabetes and developing factors for coronary heart disease, such as high blood pressure, high cholesterol, and obesity. Furthermore, developing these conditions can lead to increased healthcare costs, perpetuating and exacerbating the cycle of food insecurity.." + description: "Food insecurity often leads to limited access to nutritious foods, which can result in a diet that is high in unhealthy, processed foods and low in heart-healthy foods such as fruits, vegetables, whole grains, and lean proteins. This type of diet increases the risk of developing type 2 diabetes and developing factors for coronary heart disease, such as high blood pressure, high cholesterol, and obesity. Furthermore, developing these conditions can lead to increased healthcare costs, perpetuating and exacerbating the cycle of food insecurity." columns { tiles { title: "Percent Population With Diabetes" @@ -519,8 +630,45 @@ categories { unit: "%" } } + + + ### NEW BLOCK - Life Expectancy ### + blocks { + columns { + tiles { + title: "Life Expectancy ${date}" + type: MAP + stat_var_key: "LifeExpectancy_Person" + } + } + columns { + tiles { + type: DESCRIPTION + description: "Access to an adequate and nutritious diet is crucial for maintaining good health and well-being. Food insecurity leads to a poor diet and contributes to a range of physical and mental health issues, and these health challenges impact life expectancy. Food insecurity is often rooted in poverty and socioeconomic disparities. Low-income households may face barriers to accessing healthcare and health insurance, education, safe housing, and other resources that influence overall health and life expectancy." + } + } + } + stat_var_spec { + key: "LifeExpectancy_Person" + value { + stat_var: "LifeExpectancy_Person" + name: "Life Expectancy" + } + } + + stat_var_spec { + key: "Count_Person_BelowPovertyLevelInThePast12Months" + value { + stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" + name: "Population Below Poverty Level Status in Past Year" + } + } + } + + + categories { title: "Farming and Climate" @@ -533,7 +681,7 @@ categories { columns { tiles { type: HIGHLIGHT - description: "Farms in ${placeName} ${date}" + description: "Farms in ${placeName}" stat_var_key: "Count_Farm" } } @@ -549,14 +697,14 @@ categories { blocks { columns { tiles { - title: "Farms ${date}" + title: "Farms (${date})" type: MAP stat_var_key: "Count_Farm" } } columns { tiles { - title: "Percent of Crop Covered Area ${date}" + title: "Percentage of Crop Covered Area (${date})" type: MAP stat_var_key: "LandCoverFraction_Cropland" } @@ -567,7 +715,7 @@ categories { key: "LandCoverFraction_Cropland" value { stat_var: "LandCoverFraction_Cropland" - name: "Percent of Crop Covered Area" + name: "Percentage of Crop Covered Area" } } @@ -579,12 +727,13 @@ categories { description: "Silage and forage are crops that are grown specifically to feed livestock, including cows, and are an essential component of cattle farming. Having sufficient land dedicated to silage and forage production can support a healthy, productive, and sustainable cattle population, which in turn contributes to food security by ensuring a consistent supply of meat and dairy products to these communities. Especially during periods of drought, crop failure, or other disasters, having dedicated land for cattle and feed ensures consistent supply of animal-based foods to communities in the face of potential agricultural disasters." columns { tiles { - title: "Beef Cows on a Farm ${date}" + title: "Beef Cows on a Farm (${date})" type: MAP stat_var_key: "Count_FarmInventory_BeefCows" } } } + stat_var_spec { key: "Count_FarmInventory_BeefCows" value { @@ -596,31 +745,31 @@ categories { blocks { columns { tiles { - title: "Forage Produced ${date}" + title: "Land Dedicated to Forage Production (${date})" type: MAP - stat_var_key: "Amount_FarmInventory_Forage" + stat_var_key: "Area_Farm_Forage" } } columns { tiles { - title: "Total Area of Farms for Silage ${date}" + title: "Land Dedicated to Silage Production (${date})" type: MAP stat_var_key: "Area_Farm_CornForSilageOrGreenchop" } } } stat_var_spec { - key: "Amount_FarmInventory_Forage" + key: "Area_Farm_Forage" value { - stat_var: "Amount_FarmInventory_Forage" - name: "Forage Produced" + stat_var: "Area_Farm_Forage" + name: "Land Dedicated to Forage Production" } } stat_var_spec { key: "Area_Farm_CornForSilageOrGreenchop" value { stat_var: "Area_Farm_CornForSilageOrGreenchop" - name: "Total Area of Farms for Silage" + name: "Land Dedicated to Silage Production" } } @@ -629,22 +778,20 @@ categories { ### NEW BLOCK ### blocks { title: "Farm Production" - description: "Irrigation and depleting water sources play an increasingly critical role on farms. Crops vary in their dependence on irrigation, with many vegetables and more sensitive grains being completely reliant on supplementary water to survive harsh summers. Other crops require supplemental water from irrigation to be economically viable, but are unlikely to die or completely fail without it. With climate change impacting access to reliable irrigation, how will farmers need to adapt to this depleting resource? " + description: "Irrigation and depleting water sources play an increasingly critical role on farms. Crops vary in their dependence on irrigation, with many vegetables and more sensitive grains being completely reliant on supplementary water to survive harsh summers. Other crops require supplemental water from irrigation to be economically viable, but are unlikely to die or completely fail without it.\n\nWith climate change impacting access to reliable irrigation, how will farmers need to adapt to this depleting resource? " columns { tiles { - title: "Area of Irrigated Lands on Farms ${date}" + title: "Area of Irrigated Lands on Farms (${date})" type: MAP stat_var_key: "Area_Farm_IrrigatedLand" } } columns { tiles { - title: "Area of Farms Growing Vegetables for Sale ${date}" + title: "Area of Farms Growing Vegetables for Sale (${date})" type: MAP stat_var_key: "Area_Farm_VegetablesHarvestedForSale" } - - } } stat_var_spec { @@ -671,14 +818,14 @@ categories { description: "The U.S. government has subsidized farmers through direct cash payments and other measures since 1933. How do higher equipment costs impact new farmers?" columns { tiles { - title: "Farms Receiving Government Payments ${date}" + title: "Farms Receiving Government Payments (${date})" type: MAP stat_var_key: "Count_Farm_ReceivedGovernmentPayment" } } columns { tiles { - title: "Mean Market Value of Farm Machinery and Equipment ${date}" + title: "Average Value of Farming Equipment (${date})" type: MAP stat_var_key: "Mean_MarketValue_Farm_MachineryAndEquipment" } @@ -695,7 +842,7 @@ categories { key: "Mean_MarketValue_Farm_MachineryAndEquipment" value { stat_var: "Mean_MarketValue_Farm_MachineryAndEquipment" - name: "Mean Market Value of Farm Machinery and Equipment" + name: "Average Value of Farming Equipment" } } @@ -704,10 +851,10 @@ categories { ### NEW BLOCK ### blocks { title: "Climate and Agriculture" - description: "Climate change is an increasingly significant development for farmers. Heat waves are just one factor that can lead to crop loss. Below you see a map exploring the rate of heat waves experienced by a population in a given region." + description: "Climate change is an increasingly significant development for farmers. Heat waves are just one factor that can lead to crop loss. Below you see a map exploring the rate of heat waves experienced by a population in a given region.\n\nWhat decisions will farmers have to make to address more frequent heat events?" columns { tiles { - title: "Population-weighted Number of Heat Waves ${date}" + title: "Population-weighted Number of Heat Waves (${date})" type: MAP stat_var_key: "PopulationWeighted_Count_HeatWaveEvent" } @@ -726,7 +873,7 @@ categories { blocks { columns { tiles { - title: "Droughts ${date}" + title: "Number of Droughts (${date})" type: MAP stat_var_key: "Count_DroughtEvent" } @@ -756,7 +903,7 @@ categories { } columns { tiles { - title: "Area of Irrigated Lands on Farms ${date}" + title: "Irrigated Lands on Farms (${date})" type: MAP stat_var_key: "Area_Farm_IrrigatedLand" } @@ -766,7 +913,7 @@ categories { key: "Area_Farm_IrrigatedLand" value { stat_var: "Area_Farm_IrrigatedLand" - name: "Area of Irrigated Lands on Farms" + name: "Irrigated Lands on Farms" } } @@ -789,7 +936,7 @@ categories { description: "Animal agriculture is often the most viable agricultural option in many areas. Factors limiting crop production include climate pressures, access to irrigation, and socioeconomic pressures.\n\nSince water resources are often limited, how might competition for this resource affect farmers?" } tiles { - title: "Withdrawal Rate of Water for Livestock ${date}" + title: "Withdrawal Rate of Water for Livestock (${date})" type: MAP stat_var_key: "WithdrawalRate_Water_Livestock" } From d6d80b065adddfd76214931dff8e66b6518c0eda Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sat, 26 Aug 2023 15:12:01 -0700 Subject: [PATCH 39/84] Update autocomplete style and limit to US for now --- deploy/helm_charts/envs/techsoup.yaml | 2 +- server/config/subject_page_pb2.py | 124 ++++++++++++------------- static/custom_dc/custom/overrides.css | 4 + static/js/apps/topic_page/app.tsx | 6 +- static/js/apps/topic_page/main.ts | 2 + static/js/shared/place_autocomplete.ts | 6 +- 6 files changed, 77 insertions(+), 67 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index c1f9e50839..3fe98892c4 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 705d284 + tag: 1838055 flaskEnv: custom replicas: 1 diff --git a/server/config/subject_page_pb2.py b/server/config/subject_page_pb2.py index abd748359b..4c18878ea7 100644 --- a/server/config/subject_page_pb2.py +++ b/server/config/subject_page_pb2.py @@ -2,10 +2,10 @@ # Generated by the protocol buffer compiler. DO NOT EDIT! # source: subject_page.proto """Generated protocol buffer code.""" +from google.protobuf.internal import builder as _builder from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import symbol_database as _symbol_database -from google.protobuf.internal import builder as _builder # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() @@ -15,10 +15,10 @@ DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x12subject_page.proto\x12\x0b\x64\x61tacommons\"l\n\x0eSeverityFilter\x12\x0c\n\x04prop\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x05 \x01(\t\x12\x0c\n\x04unit\x18\x02 \x01(\t\x12\x13\n\x0blower_limit\x18\x03 \x01(\x01\x12\x13\n\x0bupper_limit\x18\x04 \x01(\x01\"\x9b\x04\n\rEventTypeSpec\x12\n\n\x02id\x18\x01 \x01(\t\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\x18\n\x10\x65vent_type_dcids\x18\x03 \x03(\t\x12\r\n\x05\x63olor\x18\x04 \x01(\t\x12<\n\x17\x64\x65\x66\x61ult_severity_filter\x18\x05 \x01(\x0b\x32\x1b.datacommons.SeverityFilter\x12[\n\x1aplace_type_severity_filter\x18\n \x03(\x0b\x32\x37.datacommons.EventTypeSpec.PlaceTypeSeverityFilterEntry\x12<\n\x0c\x64isplay_prop\x18\x06 \x03(\x0b\x32&.datacommons.EventTypeSpec.DisplayProp\x12\x15\n\rend_date_prop\x18\x07 \x03(\t\x12\x1d\n\x15polygon_geo_json_prop\x18\x08 \x01(\t\x12\x1a\n\x12path_geo_json_prop\x18\t \x01(\t\x1a[\n\x1cPlaceTypeSeverityFilterEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12*\n\x05value\x18\x02 \x01(\x0b\x32\x1b.datacommons.SeverityFilter:\x02\x38\x01\x1a?\n\x0b\x44isplayProp\x12\x0c\n\x04prop\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x0c\n\x04unit\x18\x03 \x01(\t\"\xe3\x03\n\x0cPageMetadata\x12\x10\n\x08topic_id\x18\x01 \x01(\t\x12\x12\n\ntopic_name\x18\x02 \x01(\t\x12\x12\n\nplace_dcid\x18\x03 \x03(\t\x12Q\n\x15\x63ontained_place_types\x18\x04 \x03(\x0b\x32\x32.datacommons.PageMetadata.ContainedPlaceTypesEntry\x12\x45\n\x0f\x65vent_type_spec\x18\x05 \x03(\x0b\x32,.datacommons.PageMetadata.EventTypeSpecEntry\x12\x39\n\x0bplace_group\x18\x06 \x03(\x0b\x32$.datacommons.PageMetadata.PlaceGroup\x1a:\n\x18\x43ontainedPlaceTypesEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x1aP\n\x12\x45ventTypeSpecEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12)\n\x05value\x18\x02 \x01(\x0b\x32\x1a.datacommons.EventTypeSpec:\x02\x38\x01\x1a\x36\n\nPlaceGroup\x12\x14\n\x0cparent_place\x18\x01 \x01(\t\x12\x12\n\nplace_type\x18\x02 \x01(\t\"h\n\x0bStatVarSpec\x12\x10\n\x08stat_var\x18\x01 \x01(\t\x12\r\n\x05\x64\x65nom\x18\x02 \x01(\t\x12\x0c\n\x04unit\x18\x03 \x01(\t\x12\x0f\n\x07scaling\x18\x04 \x01(\x01\x12\x0b\n\x03log\x18\x05 \x01(\x08\x12\x0c\n\x04name\x18\x06 \x01(\t\"\xb3\x01\n\x0fRankingTileSpec\x12\x14\n\x0cshow_highest\x18\x01 \x01(\x08\x12\x13\n\x0bshow_lowest\x18\x02 \x01(\x08\x12\x16\n\x0e\x64iff_base_date\x18\x05 \x01(\t\x12\x15\n\rhighest_title\x18\x06 \x01(\t\x12\x14\n\x0clowest_title\x18\x07 \x01(\t\x12\x15\n\rranking_count\x18\n \x01(\x05\x12\x19\n\x11show_multi_column\x18\x0b \x01(\x08\"u\n\x18\x44isasterEventMapTileSpec\x12\x1c\n\x14point_event_type_key\x18\x01 \x03(\t\x12\x1e\n\x16polygon_event_type_key\x18\x02 \x03(\t\x12\x1b\n\x13path_event_type_key\x18\x03 \x03(\t\"9\n\x11HistogramTileSpec\x12\x16\n\x0e\x65vent_type_key\x18\x01 \x01(\t\x12\x0c\n\x04prop\x18\x02 \x01(\t\"\x9d\x01\n\x10TopEventTileSpec\x12\x16\n\x0e\x65vent_type_key\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_prop\x18\x02 \x03(\t\x12\x17\n\x0fshow_start_date\x18\x03 \x01(\x08\x12\x15\n\rshow_end_date\x18\x04 \x01(\x08\x12\x14\n\x0creverse_sort\x18\x05 \x01(\x08\x12\x15\n\rranking_count\x18\x06 \x01(\x05\"\x89\x01\n\x0fScatterTileSpec\x12\x1b\n\x13highlight_top_right\x18\x01 \x01(\x08\x12\x1a\n\x12highlight_top_left\x18\x02 \x01(\x08\x12\x1e\n\x16highlight_bottom_right\x18\x03 \x01(\x08\x12\x1d\n\x15highlight_bottom_left\x18\x04 \x01(\x08\"(\n\x0b\x42\x61rTileSpec\x12\x19\n\x11x_label_link_root\x18\x01 \x01(\t\"c\n\rGaugeTileSpec\x12/\n\x05range\x18\x01 \x01(\x0b\x32 .datacommons.GaugeTileSpec.Range\x1a!\n\x05Range\x12\x0b\n\x03min\x18\x01 \x01(\x01\x12\x0b\n\x03max\x18\x02 \x01(\x01\"\xb6\x06\n\x04Tile\x12\r\n\x05title\x18\x01 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x02 \x01(\t\x12(\n\x04type\x18\x03 \x01(\x0e\x32\x1a.datacommons.Tile.TileType\x12\x14\n\x0cstat_var_key\x18\x04 \x03(\t\x12\x19\n\x11\x63omparison_places\x18\x07 \x03(\t\x12\x1b\n\x13place_dcid_override\x18\x0b \x01(\t\x12\x39\n\x11ranking_tile_spec\x18\x05 \x01(\x0b\x32\x1c.datacommons.RankingTileSpecH\x00\x12M\n\x1c\x64isaster_event_map_tile_spec\x18\x06 \x01(\x0b\x32%.datacommons.DisasterEventMapTileSpecH\x00\x12<\n\x13top_event_tile_spec\x18\x08 \x01(\x0b\x32\x1d.datacommons.TopEventTileSpecH\x00\x12\x39\n\x11scatter_tile_spec\x18\t \x01(\x0b\x32\x1c.datacommons.ScatterTileSpecH\x00\x12=\n\x13histogram_tile_spec\x18\n \x01(\x0b\x32\x1e.datacommons.HistogramTileSpecH\x00\x12\x31\n\rbar_tile_spec\x18\x0c \x01(\x0b\x32\x18.datacommons.BarTileSpecH\x00\x12\x35\n\x0fgauge_tile_spec\x18\r \x01(\x0b\x32\x1a.datacommons.GaugeTileSpecH\x00\"\xd3\x01\n\x08TileType\x12\r\n\tTYPE_NONE\x10\x00\x12\x08\n\x04LINE\x10\x01\x12\x07\n\x03\x42\x41R\x10\x02\x12\x07\n\x03MAP\x10\x03\x12\x0b\n\x07SCATTER\x10\x04\x12\r\n\tBIVARIATE\x10\x05\x12\x0b\n\x07RANKING\x10\x06\x12\r\n\tHIGHLIGHT\x10\x07\x12\x0f\n\x0b\x44\x45SCRIPTION\x10\x08\x12\t\n\x05GAUGE\x10\r\x12\r\n\tHISTOGRAM\x10\n\x12\x12\n\x0ePLACE_OVERVIEW\x10\x0b\x12\r\n\tTOP_EVENT\x10\x0c\x12\x16\n\x12\x44ISASTER_EVENT_MAP\x10\tB\x10\n\x0etile_type_spec\"\x9a\x02\n\x05\x42lock\x12\r\n\x05title\x18\x01 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x02 \x01(\t\x12\x10\n\x08\x66ootnote\x18\x05 \x01(\t\x12*\n\x07\x63olumns\x18\x03 \x03(\x0b\x32\x19.datacommons.Block.Column\x12*\n\x04type\x18\x04 \x01(\x0e\x32\x1c.datacommons.Block.BlockType\x12\r\n\x05\x64\x65nom\x18\x06 \x01(\t\x12\x18\n\x10start_with_denom\x18\x07 \x01(\x08\x1a*\n\x06\x43olumn\x12 \n\x05tiles\x18\x01 \x03(\x0b\x32\x11.datacommons.Tile\".\n\tBlockType\x12\r\n\tTYPE_NONE\x10\x00\x12\x12\n\x0e\x44ISASTER_EVENT\x10\x01\"\xed\x01\n\x08\x43\x61tegory\x12\r\n\x05title\x18\x01 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x02 \x01(\t\x12=\n\rstat_var_spec\x18\x04 \x03(\x0b\x32&.datacommons.Category.StatVarSpecEntry\x12\"\n\x06\x62locks\x18\x03 \x03(\x0b\x32\x12.datacommons.Block\x12\x0c\n\x04\x64\x63id\x18\x05 \x01(\t\x1aL\n\x10StatVarSpecEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\'\n\x05value\x18\x02 \x01(\x0b\x32\x18.datacommons.StatVarSpec:\x02\x38\x01\"\xd3\x01\n\nSuggestion\x12+\n\x05items\x18\x01 \x03(\x0b\x32\x1c.datacommons.Suggestion.Item\x1a.\n\x04Item\x12\x14\n\x0c\x64isplay_name\x18\x01 \x01(\t\x12\x10\n\x08nl_query\x18\x02 \x01(\t\"h\n\x04Type\x12\x1b\n\x17NL_PLACE_DISAMBIGUATION\x10\x00\x12\x14\n\x10NL_RELATED_PLACE\x10\x01\x12\x12\n\x0eNL_RELATED_VAR\x10\x02\x12\x19\n\x15NL_RELATED_QUERY_TYPE\x10\x03\"\xfe\x01\n\x11SubjectPageConfig\x12+\n\x08metadata\x18\x01 \x01(\x0b\x32\x19.datacommons.PageMetadata\x12)\n\ncategories\x18\x02 \x03(\x0b\x32\x15.datacommons.Category\x12\x44\n\x0bsuggestions\x18\x03 \x03(\x0b\x32/.datacommons.SubjectPageConfig.SuggestionsEntry\x1aK\n\x10SuggestionsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12&\n\x05value\x18\x02 \x01(\x0b\x32\x17.datacommons.Suggestion:\x02\x38\x01\x62\x06proto3') -_globals = globals() -_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) -_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'subject_page_pb2', _globals) +_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals()) +_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'subject_page_pb2', globals()) if _descriptor._USE_C_DESCRIPTORS == False: + DESCRIPTOR._options = None _EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._options = None _EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._serialized_options = b'8\001' @@ -30,62 +30,62 @@ _CATEGORY_STATVARSPECENTRY._serialized_options = b'8\001' _SUBJECTPAGECONFIG_SUGGESTIONSENTRY._options = None _SUBJECTPAGECONFIG_SUGGESTIONSENTRY._serialized_options = b'8\001' - _globals['_SEVERITYFILTER']._serialized_start=35 - _globals['_SEVERITYFILTER']._serialized_end=143 - _globals['_EVENTTYPESPEC']._serialized_start=146 - _globals['_EVENTTYPESPEC']._serialized_end=685 - _globals['_EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY']._serialized_start=529 - _globals['_EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY']._serialized_end=620 - _globals['_EVENTTYPESPEC_DISPLAYPROP']._serialized_start=622 - _globals['_EVENTTYPESPEC_DISPLAYPROP']._serialized_end=685 - _globals['_PAGEMETADATA']._serialized_start=688 - _globals['_PAGEMETADATA']._serialized_end=1171 - _globals['_PAGEMETADATA_CONTAINEDPLACETYPESENTRY']._serialized_start=975 - _globals['_PAGEMETADATA_CONTAINEDPLACETYPESENTRY']._serialized_end=1033 - _globals['_PAGEMETADATA_EVENTTYPESPECENTRY']._serialized_start=1035 - _globals['_PAGEMETADATA_EVENTTYPESPECENTRY']._serialized_end=1115 - _globals['_PAGEMETADATA_PLACEGROUP']._serialized_start=1117 - _globals['_PAGEMETADATA_PLACEGROUP']._serialized_end=1171 - _globals['_STATVARSPEC']._serialized_start=1173 - _globals['_STATVARSPEC']._serialized_end=1277 - _globals['_RANKINGTILESPEC']._serialized_start=1280 - _globals['_RANKINGTILESPEC']._serialized_end=1459 - _globals['_DISASTEREVENTMAPTILESPEC']._serialized_start=1461 - _globals['_DISASTEREVENTMAPTILESPEC']._serialized_end=1578 - _globals['_HISTOGRAMTILESPEC']._serialized_start=1580 - _globals['_HISTOGRAMTILESPEC']._serialized_end=1637 - _globals['_TOPEVENTTILESPEC']._serialized_start=1640 - _globals['_TOPEVENTTILESPEC']._serialized_end=1797 - _globals['_SCATTERTILESPEC']._serialized_start=1800 - _globals['_SCATTERTILESPEC']._serialized_end=1937 - _globals['_BARTILESPEC']._serialized_start=1939 - _globals['_BARTILESPEC']._serialized_end=1979 - _globals['_GAUGETILESPEC']._serialized_start=1981 - _globals['_GAUGETILESPEC']._serialized_end=2080 - _globals['_GAUGETILESPEC_RANGE']._serialized_start=2047 - _globals['_GAUGETILESPEC_RANGE']._serialized_end=2080 - _globals['_TILE']._serialized_start=2083 - _globals['_TILE']._serialized_end=2905 - _globals['_TILE_TILETYPE']._serialized_start=2676 - _globals['_TILE_TILETYPE']._serialized_end=2887 - _globals['_BLOCK']._serialized_start=2908 - _globals['_BLOCK']._serialized_end=3190 - _globals['_BLOCK_COLUMN']._serialized_start=3100 - _globals['_BLOCK_COLUMN']._serialized_end=3142 - _globals['_BLOCK_BLOCKTYPE']._serialized_start=3144 - _globals['_BLOCK_BLOCKTYPE']._serialized_end=3190 - _globals['_CATEGORY']._serialized_start=3193 - _globals['_CATEGORY']._serialized_end=3430 - _globals['_CATEGORY_STATVARSPECENTRY']._serialized_start=3354 - _globals['_CATEGORY_STATVARSPECENTRY']._serialized_end=3430 - _globals['_SUGGESTION']._serialized_start=3433 - _globals['_SUGGESTION']._serialized_end=3644 - _globals['_SUGGESTION_ITEM']._serialized_start=3492 - _globals['_SUGGESTION_ITEM']._serialized_end=3538 - _globals['_SUGGESTION_TYPE']._serialized_start=3540 - _globals['_SUGGESTION_TYPE']._serialized_end=3644 - _globals['_SUBJECTPAGECONFIG']._serialized_start=3647 - _globals['_SUBJECTPAGECONFIG']._serialized_end=3901 - _globals['_SUBJECTPAGECONFIG_SUGGESTIONSENTRY']._serialized_start=3826 - _globals['_SUBJECTPAGECONFIG_SUGGESTIONSENTRY']._serialized_end=3901 + _SEVERITYFILTER._serialized_start=35 + _SEVERITYFILTER._serialized_end=143 + _EVENTTYPESPEC._serialized_start=146 + _EVENTTYPESPEC._serialized_end=685 + _EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._serialized_start=529 + _EVENTTYPESPEC_PLACETYPESEVERITYFILTERENTRY._serialized_end=620 + _EVENTTYPESPEC_DISPLAYPROP._serialized_start=622 + _EVENTTYPESPEC_DISPLAYPROP._serialized_end=685 + _PAGEMETADATA._serialized_start=688 + _PAGEMETADATA._serialized_end=1171 + _PAGEMETADATA_CONTAINEDPLACETYPESENTRY._serialized_start=975 + _PAGEMETADATA_CONTAINEDPLACETYPESENTRY._serialized_end=1033 + _PAGEMETADATA_EVENTTYPESPECENTRY._serialized_start=1035 + _PAGEMETADATA_EVENTTYPESPECENTRY._serialized_end=1115 + _PAGEMETADATA_PLACEGROUP._serialized_start=1117 + _PAGEMETADATA_PLACEGROUP._serialized_end=1171 + _STATVARSPEC._serialized_start=1173 + _STATVARSPEC._serialized_end=1277 + _RANKINGTILESPEC._serialized_start=1280 + _RANKINGTILESPEC._serialized_end=1459 + _DISASTEREVENTMAPTILESPEC._serialized_start=1461 + _DISASTEREVENTMAPTILESPEC._serialized_end=1578 + _HISTOGRAMTILESPEC._serialized_start=1580 + _HISTOGRAMTILESPEC._serialized_end=1637 + _TOPEVENTTILESPEC._serialized_start=1640 + _TOPEVENTTILESPEC._serialized_end=1797 + _SCATTERTILESPEC._serialized_start=1800 + _SCATTERTILESPEC._serialized_end=1937 + _BARTILESPEC._serialized_start=1939 + _BARTILESPEC._serialized_end=1979 + _GAUGETILESPEC._serialized_start=1981 + _GAUGETILESPEC._serialized_end=2080 + _GAUGETILESPEC_RANGE._serialized_start=2047 + _GAUGETILESPEC_RANGE._serialized_end=2080 + _TILE._serialized_start=2083 + _TILE._serialized_end=2905 + _TILE_TILETYPE._serialized_start=2676 + _TILE_TILETYPE._serialized_end=2887 + _BLOCK._serialized_start=2908 + _BLOCK._serialized_end=3190 + _BLOCK_COLUMN._serialized_start=3100 + _BLOCK_COLUMN._serialized_end=3142 + _BLOCK_BLOCKTYPE._serialized_start=3144 + _BLOCK_BLOCKTYPE._serialized_end=3190 + _CATEGORY._serialized_start=3193 + _CATEGORY._serialized_end=3430 + _CATEGORY_STATVARSPECENTRY._serialized_start=3354 + _CATEGORY_STATVARSPECENTRY._serialized_end=3430 + _SUGGESTION._serialized_start=3433 + _SUGGESTION._serialized_end=3644 + _SUGGESTION_ITEM._serialized_start=3492 + _SUGGESTION_ITEM._serialized_end=3538 + _SUGGESTION_TYPE._serialized_start=3540 + _SUGGESTION_TYPE._serialized_end=3644 + _SUBJECTPAGECONFIG._serialized_start=3647 + _SUBJECTPAGECONFIG._serialized_end=3901 + _SUBJECTPAGECONFIG_SUGGESTIONSENTRY._serialized_start=3826 + _SUBJECTPAGECONFIG_SUGGESTIONSENTRY._serialized_end=3901 # @@protoc_insertion_point(module_scope) diff --git a/static/custom_dc/custom/overrides.css b/static/custom_dc/custom/overrides.css index bccbf7436a..29fd475567 100644 --- a/static/custom_dc/custom/overrides.css +++ b/static/custom_dc/custom/overrides.css @@ -171,4 +171,8 @@ article { .ataglance-section { background: rgba(0, 0, 0, 0.05); padding: 1em; +} + +.topicpage-searchbar { + width: 100%; } \ No newline at end of file diff --git a/static/js/apps/topic_page/app.tsx b/static/js/apps/topic_page/app.tsx index ceb1d413f8..461f5c9303 100644 --- a/static/js/apps/topic_page/app.tsx +++ b/static/js/apps/topic_page/app.tsx @@ -103,14 +103,14 @@ export function App(props: AppPropType): JSX.Element { )}
    - {props.showChildPlaces && ( -
    + {props.displaySearchbar && ( +
    diff --git a/static/js/apps/topic_page/main.ts b/static/js/apps/topic_page/main.ts index 648e05ff35..78fa54f0be 100644 --- a/static/js/apps/topic_page/main.ts +++ b/static/js/apps/topic_page/main.ts @@ -24,6 +24,7 @@ import ReactDOM from "react-dom"; import { DEFAULT_PAGE_PLACE_TYPE } from "../../constants/subject_page_constants"; import { loadLocaleData } from "../../i18n/i18n"; import { initSearchAutocomplete } from "../../shared/place_autocomplete"; +import { setComponentRestrictions } from "../../shared/place_autocomplete"; import { NamedTypedPlace } from "../../shared/types"; import { TopicsSummary } from "../../types/app/topic_page_types"; import { App } from "./app"; @@ -91,4 +92,5 @@ function renderPage(): void { // Load this after the place-autocomplete input is rendered. initSearchAutocomplete(`/topic/${topic}`); + setComponentRestrictions({ country: "us" }); // TO DO: Hardcoding to US for now. } diff --git a/static/js/shared/place_autocomplete.ts b/static/js/shared/place_autocomplete.ts index a17d6bad1c..9cf09ee88f 100644 --- a/static/js/shared/place_autocomplete.ts +++ b/static/js/shared/place_autocomplete.ts @@ -118,4 +118,8 @@ function placeNotFoundAlert(placeName): void { ); } -export { initSearchAutocomplete }; +function setComponentRestrictions(componentRestrictions): void { + ac.setComponentRestrictions(componentRestrictions) +} + +export { initSearchAutocomplete, setComponentRestrictions }; From cc69d5a06d65ff93dc912fc2f638b251b48d943f Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sat, 26 Aug 2023 15:28:40 -0700 Subject: [PATCH 40/84] move dc2_4 to foodsecurity --- .../config/topic_page/{dc2_4 => foodsecurity}/USA.textproto | 2 +- .../{foodsecurity => foodsecurity_old}/CA.textproto | 2 +- server/lib/util.py | 4 ++-- server/routes/topic_page/html.py | 4 ++-- .../custom_dc/custom/issue_landing/foodsecurity.html | 2 +- 5 files changed, 7 insertions(+), 7 deletions(-) rename server/config/topic_page/{dc2_4 => foodsecurity}/USA.textproto (99%) rename server/config/topic_page/{foodsecurity => foodsecurity_old}/CA.textproto (99%) diff --git a/server/config/topic_page/dc2_4/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto similarity index 99% rename from server/config/topic_page/dc2_4/USA.textproto rename to server/config/topic_page/foodsecurity/USA.textproto index 3de2fccc42..c2d74ddb4d 100644 --- a/server/config/topic_page/dc2_4/USA.textproto +++ b/server/config/topic_page/foodsecurity/USA.textproto @@ -15,7 +15,7 @@ ## This file specifies the topic page config for poverty in USA metadata { - topic_id: "dc2_4" + topic_id: "foodsecurity" topic_name: "Food Security" # place_group { # parent_place: "Earth" diff --git a/server/config/topic_page/foodsecurity/CA.textproto b/server/config/topic_page/foodsecurity_old/CA.textproto similarity index 99% rename from server/config/topic_page/foodsecurity/CA.textproto rename to server/config/topic_page/foodsecurity_old/CA.textproto index 919a6a3574..e05a982109 100644 --- a/server/config/topic_page/foodsecurity/CA.textproto +++ b/server/config/topic_page/foodsecurity_old/CA.textproto @@ -15,7 +15,7 @@ ## This file specifies the topic page config for poverty in USA metadata { - topic_id: "foodsecurity" + topic_id: "foodsecurity_old" topic_name: "Food Security" place_group { parent_place: "country/USA" diff --git a/server/lib/util.py b/server/lib/util.py index dade5c8247..fe5e5371d3 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -51,10 +51,10 @@ 'poverty': ['USA', 'India'], 'dev': ['CA'], 'sdg': ['sdg'], - 'foodsecurity' : ['CA'], + 'foodsecurity' : ['USA'], + 'foodsecurity_old' : ['CA'], 'economic-and-social-growth' : ['COL'], 'dc2_2' : ['NGA'], - 'dc2_4' : ['USA'], 'climate_allvars' : ['USA'], 'playground' : ['US_Places'] } diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index 9666c0c5e0..ba54814d40 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -28,8 +28,8 @@ import logging # TechSoup - add search bar and child places -_TOPICS_TO_DISPLAY_SEARCH_BAR = ["dc2_4", "climate_allvars"] -_TOPICS_TO_SHOW_CHILD_PLACES = ["dc2_4", "climate_allvars"] +_TOPICS_TO_DISPLAY_SEARCH_BAR = ["foodsecurity", "climate_allvars"] +_TOPICS_TO_SHOW_CHILD_PLACES = ["foodsecurity", "climate_allvars"] _NL_DISASTER_TOPIC = 'nl_disasters' _SDG_TOPIC = 'sdg' diff --git a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html index f527e0f776..4fb8775697 100644 --- a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html +++ b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html @@ -34,7 +34,7 @@

    Data Commons for Food Security Organizations

    Food security at a glance

    Based on your feedback, we've collected a number of statistics in Data Commons that may be helpful for food security organizations.

    - Explore data for your region + Explore data for your region
    From 7b602ff274aacf2d82063d5fe60e7ec49068657b Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sat, 26 Aug 2023 23:40:44 -0700 Subject: [PATCH 41/84] DC2_5 initial topic page --- .../config/topic_page/climate/USA.textproto | 278 ++++++++++++++++++ server/lib/util.py | 1 + server/routes/topic_page/html.py | 4 +- 3 files changed, 281 insertions(+), 2 deletions(-) create mode 100644 server/config/topic_page/climate/USA.textproto diff --git a/server/config/topic_page/climate/USA.textproto b/server/config/topic_page/climate/USA.textproto new file mode 100644 index 0000000000..7538fb6951 --- /dev/null +++ b/server/config/topic_page/climate/USA.textproto @@ -0,0 +1,278 @@ +# Copyright 2023 TechSoup Global +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +## This file specifies the topic page config for poverty in USA + + +metadata { + topic_id: "climate" + topic_name: "Climate Change" + + place_dcid: "country/USA" + place_group { + parent_place: "country/USA" + place_type: "State" + } + place_group { + parent_place: "country/USA" + place_type: "County" + } + contained_place_types { + key: "Country" + value: "State" + } + contained_place_types { + key: "State" + value: "County" + } + contained_place_types { + key: "County" + value: "CensusTract" + } +} + + +############ CATEGORY: Landuse/Remote Sensing/Atmospheric ############ + +categories { + title: "Land Use / Remote Sensing / Atmospheric" + + #---------- Land Use ----------# + blocks { + title: "Land Use" + description: "Land plays an important role in several climatic processes. Tracking land use change can be a valuable tool in a climate researchers toolbox." + columns {tiles {type: MAP title: "Percent of Forest Covered Area (${date})" stat_var_key: "LandCoverFraction_Forest"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LandCoverFraction_Forest"}} + } + stat_var_spec {key: "LandCoverFraction_Forest" value {stat_var: "LandCoverFraction_Forest" name: "Percent of Forest Covered Area"}} + + blocks { + columns {tiles {type: MAP title: "Percent of Permanent Water Covered Area (${date})" stat_var_key: "LandCoverFraction_PermanentWater"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LandCoverFraction_PermanentWater"}} + } + stat_var_spec {key: "LandCoverFraction_PermanentWater" value {stat_var: "LandCoverFraction_PermanentWater" name: "Percent of Permanent Water Covered Area"}} + + blocks { + columns {tiles {type: MAP title: "Percent of Seasonal Water Covered Area (${date})" stat_var_key: "LandCoverFraction_SeasonalWater"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LandCoverFraction_SeasonalWater"}} + } + stat_var_spec {key: "LandCoverFraction_SeasonalWater" value {stat_var: "LandCoverFraction_SeasonalWater" name: "Percent of Seasonal Water Covered Area" }} + + #---------- Water Use ----------# + blocks { + title: "Water Use" + description: "Climate change is impacting our relationship with water. Both water scarcity and accessibility are important issues relating to water conservation and usage." + columns {tiles {type: MAP title: "Rate of Water Withdrawal (${date})" stat_var_key: "WithdrawalRate_Water"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "WithdrawalRate_Water"}} + } + stat_var_spec {key: "WithdrawalRate_Water" value {stat_var: "WithdrawalRate_Water" name: "Rate of Water Withdrawal"}} + + #---------- Observed Temperatures ----------# + blocks { + title: "Observed Temperatures" + description: "Observed temperature datasets can support a great variety of climate change analysis. Tied with its relationship to the changes in our atmosphere, temperature change directly impacts human health." + columns {tiles {type: MAP title: "Mean Temperature (${date})" stat_var_key: "Mean_Temperature"}} + columns {tiles {type: LINE stat_var_key: "Mean_Temperature"}} + } + stat_var_spec {key: "Mean_Temperature" value {stat_var: "Mean_Temperature" name: "Mean Temperature"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "Mean_MaxTemperature"}} + columns { + tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Mean_MaxTemperature"} + tiles {type: MAP title: "Mean maximum temperature (${date})" stat_var_key: "Mean_MaxTemperature"} + } + } + stat_var_spec {key: "Mean_MaxTemperature" value {stat_var: "Mean_MaxTemperature" name: "Mean maximum temperature"}} + + blocks { + columns {tiles {type: MAP title: "Mean maximum temperature in forested areas (${date})" stat_var_key: "Mean_MaxTemperature_Forest"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Mean_MaxTemperature_Forest"}} + } + stat_var_spec {key: "Mean_MaxTemperature_Forest" value {stat_var: "Mean_MaxTemperature_Forest" name: "Mean maximum temperature in forested areas"}} + +} + +############ CATEGORY: Observed Emissions ############ + +categories { + title: "Observed Emissions" + description: "Non biogenic emissions are any emissions that do not come from a natural source. There are several natural sources of Carbon dioxide, methane, and other commonly emitted greenhouse gasses (GHG’s). However, human activities contribute a significantly larger amount of GHG emissions to our atmosphere, and are highlighted in the following visualizations." + + blocks { + columns {tiles {type: MAP title: "Annual Emissions of Non Biogenic Greenhouse Gases (${date})" stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}} + } + stat_var_spec {key: "Annual_Emissions_GreenhouseGas_NonBiogenic" value {stat_var: "Annual_Emissions_GreenhouseGas_NonBiogenic" name: "Annual Emissions of Non Biogenic Greenhouse Gases"}} + + blocks { + columns {tiles {type: MAP title: "Annual Emissions of Non Biogenic Carbon Dioxide (${date})" stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Annual_Emissions_CarbonDioxide_NonBiogenic"}} + } + stat_var_spec {key: "Annual_Emissions_CarbonDioxide_NonBiogenic" value {stat_var: "Annual_Emissions_CarbonDioxide_NonBiogenic" name: "Annual Emissions of Non Biogenic Carbon Dioxide"}} + + blocks { + columns {tiles {type: MAP title: "Annual Emissions of Non Biogenic Methane (${date})" stat_var_key: "Annual_Emissions_Methane_NonBiogenic"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Annual_Emissions_Methane_NonBiogenic"}} + } + stat_var_spec {key: "Annual_Emissions_Methane_NonBiogenic" value {stat_var: "Annual_Emissions_Methane_NonBiogenic" name: "Annual Emissions of Non Biogenic Methane"}} +} + +############ CATEGORY: Climate Hazards ############ + +categories { + title: "Climate Hazards" + + #---------- Climate Hazard Damages ----------# + blocks { + title: "Climate Hazard Damages" + description: "The Federal Emergency Management Agency (FEMA) manages the National Flood Insurance Program (NFIP) to support communities recovering from flood damages. Programs like this are vital to communities facing climate hazards and the recovery process." + columns { + tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} + tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: false} stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} + } + columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} + } + stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" name: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA)"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + } + stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" name: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA)"}} + + #---------- Wildfires ----------# + blocks { + title: "Wildfires" + description: "The increase in dry leaf litter and water scarcity has significant implications for the future of wildfires in the United States. Forestry managers highly value the tracking of wildfires to prevent and protect." + columns {tiles {type: MAP title: "Wildfires (${date})" stat_var_key: "Count_WildfireEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_WildfireEvent"}} + } + stat_var_spec {key: "Count_WildfireEvent" value {stat_var: "Count_WildfireEvent" name: "Wildfires"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "Count_DenseSmokeEvent"}} + } + stat_var_spec {key: "Count_DenseSmokeEvent" value {stat_var: "Count_DenseSmokeEvent" name: "Cloud of Dense Smoke Event"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "Count_FireIncidentComplex"}} + } + stat_var_spec {key: "Count_FireIncidentComplex" value {stat_var: "Count_FireIncidentComplex" name: "Count of Fire Incident Complex Event"}} + + blocks { + columns {tiles {type: MAP title: "Area of forest that burned (Acres) (${date})" stat_var_key: "BurnedArea_FireEvent_Forest"}} + columns { + tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: false} stat_var_key: "BurnedArea_FireEvent_Forest"} + tiles {type: LINE stat_var_key: "BurnedArea_FireEvent_Forest"} + } + } + stat_var_spec {key: "BurnedArea_FireEvent_Forest" value {stat_var: "BurnedArea_FireEvent_Forest" name: "Area of forest that burned (Acres)"}} + + blocks { + columns {tiles {type: MAP title: "Percent of forest area that experienced high-severity fire (${date})" stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"}} + columns { + tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: false} stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"} + tiles {type: LINE stat_var_key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity"} + } + } + stat_var_spec {key: "Percent_BurnedArea_FireEvent_Forest_HighSeverity" value {stat_var: "Percent_BurnedArea_FireEvent_Forest_HighSeverity" name: "Percent of forest area that experienced high-severity fire"}} + + #---------- Marine and Water Hazards ----------# + blocks { + title: "Marine and Water Hazards" + description: "Coastal and water hazards introduce a myriad of challenges for a community. These hazards can be some of the most damaging to property and human health." + columns {tiles {type: LINE stat_var_key: "Count_HurricaneEvent"}} + } + stat_var_spec {key: "Count_HurricaneEvent" value {stat_var: "Count_HurricaneEvent" name: "Count of Hurricane Event"}} + + blocks { + columns {tiles {type: MAP title: "Count of Flash Flood Event (${date})" stat_var_key: "Count_FlashFloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FlashFloodEvent"}} + } + stat_var_spec {key: "Count_FlashFloodEvent" value {stat_var: "Count_FlashFloodEvent" name: "Count of Flash Flood Event"}} + + blocks { + columns {tiles {type: MAP title: "Count of Flood Event (${date})" stat_var_key: "Count_FloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FloodEvent"}} + } + stat_var_spec {key: "Count_FloodEvent" value {stat_var: "Count_FloodEvent" name: "Count of Flood Event"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "Count_HurricaneTyphoonEvent"}} + } + stat_var_spec {key: "Count_HurricaneTyphoonEvent" value {stat_var: "Count_HurricaneTyphoonEvent" name: "Count of Hurricane Typhoon Event"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "Count_TropicalDepressionEvent"}} + } + stat_var_spec {key: "Count_TropicalDepressionEvent" value {stat_var: "Count_TropicalDepressionEvent" name: "Count of Tropical Depression Event"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "Count_TropicalStormEvent"}} + } + stat_var_spec {key: "Count_TropicalStormEvent" value {stat_var: "Count_TropicalStormEvent" name: "Count of Tropical Storm Event"}} + + blocks { + columns {tiles {type: LINE stat_var_key: "Count_CoastalFloodEvent"}} + } + stat_var_spec {key: "Count_CoastalFloodEvent" value {stat_var: "Count_CoastalFloodEvent" name: "Count of Coastal Flood Event"}} + + #---------- Atmospheric Events/Hazards ----------# + blocks { + title: "Atmospheric Events/Hazards" + description: "As our atmosphere traps more energy from the sun due to an increase in GHG’s, we face a range of symptoms including increased temperature, intense storms, and excessive rain events." + columns { + tiles {type: LINE stat_var_key: "Count_ExcessiveHeatEvent"} + tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExcessiveHeatEvent"} + } + columns {tiles {type: MAP title: "Count of Excessive Heat Event (${date})" stat_var_key: "Count_ExcessiveHeatEvent"}} + } + stat_var_spec {key: "Count_ExcessiveHeatEvent" value {stat_var: "Count_ExcessiveHeatEvent" name: "Count of Excessive Heat Event"}} + + blocks { + columns {tiles {type: MAP title: "Count of Extreme Cold Wind Chill Event (${date})" stat_var_key: "Count_ExtremeColdWindChillEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExtremeColdWindChillEvent"}} + } + stat_var_spec {key: "Count_ExtremeColdWindChillEvent" value {stat_var: "Count_ExtremeColdWindChillEvent" name: "Count of Extreme Cold Wind Chill Event"}} + + blocks { + columns {tiles {type: MAP title: "Heat Waves (${date})" stat_var_key: "Count_HeatEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatEvent"}} + } + stat_var_spec {key: "Count_HeatEvent" value {stat_var: "Count_HeatEvent" name: "Heat Waves"}} + + blocks { + columns {tiles {type: MAP title: "Heavy Rains (${date})" stat_var_key: "Count_HeavyRainEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeavyRainEvent"}} + } + stat_var_spec {key: "Count_HeavyRainEvent" value {stat_var: "Count_HeavyRainEvent" name: "Heavy Rains"}} + + blocks { + columns {tiles {type: MAP title: "Count of Heat Temperature Event (${date})" stat_var_key: "Count_HeatTemperatureEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatTemperatureEvent"}} + } + stat_var_spec {key: "Count_HeatTemperatureEvent" value {stat_var: "Count_HeatTemperatureEvent" name: "Count of Heat Temperature Event"}} + + blocks { + columns {tiles {type: MAP title: "Droughts (${date})" stat_var_key: "Count_DroughtEvent"}} + columns { + tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_DroughtEvent"} + tiles {type: BAR stat_var_key: "Count_DroughtEvent"} + } + } + stat_var_spec {key: "Count_DroughtEvent" value {stat_var: "Count_DroughtEvent" name: "Droughts"}} +} + + diff --git a/server/lib/util.py b/server/lib/util.py index fe5e5371d3..6cc19638cd 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -55,6 +55,7 @@ 'foodsecurity_old' : ['CA'], 'economic-and-social-growth' : ['COL'], 'dc2_2' : ['NGA'], + 'climate' : ['USA'], 'climate_allvars' : ['USA'], 'playground' : ['US_Places'] } diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index ba54814d40..d8281cab0d 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -28,8 +28,8 @@ import logging # TechSoup - add search bar and child places -_TOPICS_TO_DISPLAY_SEARCH_BAR = ["foodsecurity", "climate_allvars"] -_TOPICS_TO_SHOW_CHILD_PLACES = ["foodsecurity", "climate_allvars"] +_TOPICS_TO_DISPLAY_SEARCH_BAR = ["foodsecurity", "climate", "climate_allvars"] +_TOPICS_TO_SHOW_CHILD_PLACES = ["foodsecurity", "climate", "climate_allvars"] _NL_DISASTER_TOPIC = 'nl_disasters' _SDG_TOPIC = 'sdg' From 74368bdb20948f4e68e15c648bf1cce2c7006757 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Sun, 27 Aug 2023 16:09:47 -0700 Subject: [PATCH 42/84] add footer links --- server/templates/custom_dc/custom/base.html | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/server/templates/custom_dc/custom/base.html b/server/templates/custom_dc/custom/base.html index 49efb198d6..a4ebfed7cd 100644 --- a/server/templates/custom_dc/custom/base.html +++ b/server/templates/custom_dc/custom/base.html @@ -105,12 +105,12 @@
    From a4e207727c919746536f803ce811afbd153e8c4d Mon Sep 17 00:00:00 2001 From: caseylivingood <32850064+caseylivingood@users.noreply.github.com> Date: Mon, 28 Aug 2023 21:44:02 +0000 Subject: [PATCH 43/84] Updates to colombian topic page --- .../economic-and-social-growth/COL.textproto | 50 +++++++++---------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/server/config/topic_page/economic-and-social-growth/COL.textproto b/server/config/topic_page/economic-and-social-growth/COL.textproto index 2288c0b8b8..fe199d68f0 100644 --- a/server/config/topic_page/economic-and-social-growth/COL.textproto +++ b/server/config/topic_page/economic-and-social-growth/COL.textproto @@ -29,7 +29,7 @@ categories { blocks { - description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its people's needs. But we often don’t see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does this country flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence — particularly homicides? And finally, how do civil society organizations complement economic development and state action? For this, there is no better country to review than Colombia." + description: "When we think of economic development, we may think of new infrastructure or ways the government may better meet its people's needs. But we often don't see economic development as something that affects our daily lives. In this article, we aim to review economic development and its social impact on a country. How does acountry flourish in the midst of endless difficulties and deep social and political transformations? How can economic development help to reduce violence — particularly homicides? And finally, how do civil society organizations complement economic development and state action? For this, there is no better country to review than Colombia." columns { tiles { type: HIGHLIGHT @@ -48,7 +48,7 @@ categories { blocks { title: "From LATAM to Colombia: The Correlations of Economic Development" - description: "Over the last 50 years, Latin American (LATAM) countries such as Colombia, Ecuador, Perú, and Venezuela have steadily strengthened their GDP, except during the COVID-19 pandemic. There appears to be a regional correlation in economic performance of these countries: When one country prospers, other LATAM countries prosper as a result. Similarly, these countries suffered significant declines during the pandemic. After the pandemic, recovery was accelerated dramatically." + description: "Over the last 50 years, Latin American (LATAM) countries such as Colombia, Ecuador, Peru, and Venezuela have steadily strengthened their GDP, except during the COVID-19 pandemic. There appears to be a regional correlation in economic performance of these countries: When one country prospers, other LATAM countries prosper as a result. Similarly, these countries suffered significant declines during the pandemic. After the pandemic, recovery was accelerated dramatically." columns { tiles { type: LINE @@ -119,7 +119,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "As GDP increases, poverty decreases. Newly created jobs allow governments to collect more taxes to invest in social programs such as free secondary education for vulnerable populations, which in most cases enables people to access better salaries, which **improves their quality of life**." + description: "As GDP increases, poverty decreases. Newly created jobs allow governments to collect more taxes to invest in social programs, such as free secondary education for vulnerable populations. In most cases, this enables people to access better salaries, which **improves their quality of life**." } } } @@ -143,14 +143,14 @@ categories { columns { tiles { type: LINE - title: "Percent of Working-Age Population in the Labor Force" + title: "Percentage of Working-Age Population in the Labor Force" stat_var_key: "pct_pop_laborforce" } } columns { tiles { type: LINE - title: "Percent of Secondary Education Students Graduating" + title: "Percentage of Secondary Education Students Graduating" stat_var_key: "upper_secondary_pc" } } @@ -160,7 +160,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "Economic growth has also contributed to a decrease in the infant mortality rate, the main indicator for measuring the quality of health systems. With higher incomes, families have access to more and better food, medicines, internet, and sanitary conditions in their homes." + description: "Economic growth has also contributed to a decrease in the infant mortality rate, the main indicator for measuring the quality of health systems. With higher incomes, families have access to more and better food, medicines, internet, and sanitary conditions in their homes. This provides better opportunities, especially for children." } } } @@ -176,7 +176,7 @@ categories { columns { tiles { type: LINE - title: "Percent of Internet Users" + title: "Percentage of Internet Users" stat_var_key: "Count_Person_IsInternetUser_PerCapita" } } @@ -186,7 +186,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "The data shows that the better the economy, the better the quality of life. Unfortunately, not all the correlations are on the good side. LATAM, and especially Colombia, houses a large part of the world's drug production, which leads it to be a center of operations of transnational criminal organizations and violence against the civilian population." + description: "The data shows that the better the economy, the better the quality of life. Unfortunately, not all the correlations are positive. LATAM, and especially Colombia, houses a large part of the world's drug production. This makes Colombia a center of operations for transnational criminal organizations, which leads to violence against the civilian population." } } } @@ -220,7 +220,7 @@ categories { key: "empl_poverty_rate_15_24" value { stat_var: "sdg/SI_POV_EMP1.AGE--Y15T24" - name: "Employed population below international poverty line: 15 to 24 years old" + name: "Population Age 15 to 24 Years Old Living Below the Poverty Line" unit: "%" } } @@ -228,7 +228,7 @@ categories { key: "empl_poverty_rate_15_older" value { stat_var: "sdg/SI_POV_EMP1.AGE--Y_GE15" - name: "Employed population below international poverty line: 15 years old and over" + name: "Population Age 15 Years And Older Living Below the Poverty Line" unit: "%" } } @@ -236,7 +236,7 @@ categories { key: "empl_poverty_rate_25_older" value { stat_var: "sdg/SI_POV_EMP1.AGE--Y_GE25" - name: "Employed population below international poverty line: 25 years old and over" + name: "Population Age 25 Years And Older Living Below the Poverty Line" unit: "%" } } @@ -245,7 +245,7 @@ categories { key: "pct_pop_laborforce" value { stat_var: "Count_Person_15To64Years_InLaborForce_AsFractionOf_Count_Person_15To64Years" - name: "Percent of Working Age Population in the Labor Force" + name: "Percentage of Working-Age Population in the Labor Force" scaling: 100 unit: "%" } @@ -254,7 +254,7 @@ categories { key: "upper_secondary_pc" value { stat_var: "sdg/SE_TOT_CPLR.EDUCATION_LEV--ISCED11_3" - name: "Completion rate: Upper secondary" + name: "Percentage of Secondary Education Students Graduating" unit: "%" } } @@ -269,7 +269,7 @@ categories { key: "Count_Person_IsInternetUser_PerCapita" value { stat_var: "Count_Person_IsInternetUser_PerCapita" - name: "Percent of Internet Users" + name: "Percentage of Internet Users" unit: "%" } } @@ -281,7 +281,7 @@ categories { title: "A Growing Economy for Better Security" blocks { - description: "The reality that violence has created in LATAM is overwhelming. During 2022, countries such as Bolivia, Colombia, Ecuador, Perú y Venezuela reached similar homicide rates, mainly due to the presence of armed groups seeking to expand their illegal businesses through violence, spreading fear among the population." + description: "The violence that is part of everyday life in LATAM is significant. During 2022, countries such as Bolivia, Colombia, Ecuador, Peru, and Venezuela reached similar homicide rates due to the presence of armed groups seeking to expand their illegal businesses through violence." columns { tiles { type: BAR @@ -298,7 +298,7 @@ categories { blocks { title: "GDP Growth and Violence" - description: "When the economy grows, the lives of the inhabitants improve by increasing access to basic services such as health, education, internet, jobs, and security. And it makes it possible for people to receive a living wage that reduces inequality and poverty gaps, decreasing the presence of illegal and subversive groups and the violence they exert." + description: "When the economy grows, the lives of the inhabitants improve by increasing access to basic needs such as health, education, internet, jobs, and security. A growing economy makes it possible for people to receive a living wage that reduces inequality and poverty gaps, which decreases the presence of illegal and subversive groups and the violence they exert." columns { tiles { @@ -320,7 +320,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "That being said, reducing violence and improving Colombian's daily lives is not just an economic development matter. Governments need allies to establish a prosperous and peaceful nation. The active participation of civil society and social organizations is vital for building bridges between government efforts and the needs of the population. In Colombia’s case there are many organizations working to promote development in the country and therefore improving the quality of life for all the inhabitants." + description: "That being said, reducing violence and improving Colombian's daily lives is not just an economic development matter. Governments need allies to establish a prosperous and peaceful nation. The active participation of civil society and social organizations is vital for building bridges between government efforts and the needs of the population. In Colombia's case, there are many organizations that workto promote development and therefore improve the quality of life for all Colombians." } } } @@ -329,7 +329,7 @@ categories { key: "homicides_pc" value { stat_var: "Count_CriminalActivities_MurderAndNonNegligentManslaughter_AsFractionOf_Count_Person" - name: "Murder and Non Negligent Manslaughter Cases Per Capita" + name: "Number of Homicides (Per 100,000 People)" scaling: 100000 } } @@ -346,11 +346,11 @@ categories { title: "Promoting Development Through Civil Society" blocks { - description: "Many efforts are being made by civil society to continue actions that promote the growth of the economy in favor of improving the living conditions of its inhabitants." + description: "Many efforts are being made by civil society to promote the growth of the economy that improves the lives of Colombians." columns { tiles { type: DESCRIPTION - description: "Several social organizations in Colombia are working for the economic and social development of the country." + description: "Several organizations in Colombia are working for the economic and social development of the country." } tiles { type: DESCRIPTION @@ -362,21 +362,21 @@ categories { } tiles { type: DESCRIPTION - description: "- [*Recon*](https://www.reconcolombia.org) seeks to strengthen social enterprises that impact the sustainable economic and social development of vulnerable communities." + description: "- [*Recon*](https://www.reconcolombia.org) seeks to strengthen social enterprises that impact the economic and social development of vulnerable communities." } tiles { type: DESCRIPTION - description: "- [*Fundación Capital*](https://www.fundacioncapital.org) seeks to improve the financial and economic life of socially vulnerable populations." + description: "- [*Fundación Capital*](https://www.fundacioncapital.org) seeks to improve the financial and economic life of vulnerable populations." } } columns { tiles { type: DESCRIPTION - description: "In the search of expanding impacts and creating social awareness, these other organizations have linked a third ally to their work: open data." + description: "To create impact and social awareness, the following organizations utilize another tactic: open data." } tiles { type: DESCRIPTION - description: "- [*Propacifico*](https://propacifico.org) seeks to make visible through the use of open data the level of compliance with the SDGs in the country's municipalities through a monitoring platform, in order to promote the strengthening of actions in the lowest indicators." + description: "- [*Propacifico*](https://propacifico.org) seeks to expand the use of open data to better realize the UN's Sustainable Development Goals. They use a monitoring platform to strengthen the lowest indicators." } tiles { type: DESCRIPTION @@ -384,7 +384,7 @@ categories { } tiles { type: DESCRIPTION - description: "- [*Karisma Foundation*](https://web.karisma.org.co) promotes the use of open data to guarantee human rights on the Internet, social inclusion and the democratization of knowledge." + description: "- [*Karisma Foundation*](https://web.karisma.org.co) promotes the use of open data to guarantee human rights on the internet through social inclusion and the democratization of knowledge." } } } From 0c30c9c705affc77fe6ddf7f4521e50d5d2b893b Mon Sep 17 00:00:00 2001 From: caseylivingood <32850064+caseylivingood@users.noreply.github.com> Date: Mon, 28 Aug 2023 22:52:06 +0000 Subject: [PATCH 44/84] Updates to US food security topic page --- server/config/topic_page/foodsecurity/USA.textproto | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/server/config/topic_page/foodsecurity/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto index c2d74ddb4d..d913477791 100644 --- a/server/config/topic_page/foodsecurity/USA.textproto +++ b/server/config/topic_page/foodsecurity/USA.textproto @@ -52,7 +52,7 @@ categories { ### NEW BLOCK ### blocks { - description: "Food assistance programs address food insecurity in a variety of ways by providing critical resources, such as bulk food, prepared meals, community gardens, subsidized or free groceries, and other local community efforts. These safety net programs during times of financial hardship or emergencies help families stabilize by providing financial assistance and access to balanced, nutritional meals.\n\nWhat factors might contribute to individuals not utilizing SNAP?" + description: "Food assistance programs address food insecurity in a variety of ways by providing critical resources, such as bulk food, prepared meals, community gardens, subsidized or free groceries, and other local community efforts. These safety net programs help families stabilize during times of financial hardship by providing financial assistance and access to balanced, nutritional meals.\n\nWhat factors might contribute to individuals not utilizing SNAP?" columns { tiles { type: HIGHLIGHT @@ -125,7 +125,7 @@ categories { columns { tiles { type: HIGHLIGHT - description: "Households in the United States live in poverty but do not receive food assistance (SNAP)" + description: "Households in ${placeName} live in poverty but do not receive food assistance (SNAP)" stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" } tiles { @@ -169,7 +169,7 @@ categories { ### NEW BLOCK ### blocks { title: "Median Income" - description: "Income and the cost of living can help us understand where and how food insecurity impacts communities at the local level. Often, though, communities with higher costs of living result in some populations living below the poverty line and having low access to balanced, nutritional meals." + description: "Income and the cost of living can help us understand where and how food insecurity impacts communities at the local level. Often, communities with higher costs of living have a segment of the population living below the poverty line with low access to balanced, nutritional meals." columns { tiles { title: "Median Income (${date})" From 8b89a5f759e977bd9d9e70ffc387ad4d7023c8f0 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 28 Aug 2023 21:11:04 -0700 Subject: [PATCH 45/84] Updated climate topic page --- .../config/topic_page/climate/USA.textproto | 90 ++++++++++--------- 1 file changed, 48 insertions(+), 42 deletions(-) diff --git a/server/config/topic_page/climate/USA.textproto b/server/config/topic_page/climate/USA.textproto index 7538fb6951..ea02884aaa 100644 --- a/server/config/topic_page/climate/USA.textproto +++ b/server/config/topic_page/climate/USA.textproto @@ -51,7 +51,7 @@ categories { #---------- Land Use ----------# blocks { title: "Land Use" - description: "Land plays an important role in several climatic processes. Tracking land use change can be a valuable tool in a climate researchers toolbox." + description: "Over the course of human history, we have altered our local environments to suit our needs. The proportion of forests, bodies of water, protected lands, agricultural fields, are all examples of spaces that are constantly changing, some more than others. Tracking changes in land can be highly valuable when considering the great variety of climate change symptoms we face. The creation of land policy and management strategies to conserve and protect natural landscapes begin with considering data found in the following visualizations." columns {tiles {type: MAP title: "Percent of Forest Covered Area (${date})" stat_var_key: "LandCoverFraction_Forest"}} columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "LandCoverFraction_Forest"}} } @@ -72,7 +72,7 @@ categories { #---------- Water Use ----------# blocks { title: "Water Use" - description: "Climate change is impacting our relationship with water. Both water scarcity and accessibility are important issues relating to water conservation and usage." + description: "Climate change is increasing the stressors on several of earth's water systems. Ground water and reservoirs are driven to depletion through increased demand from a range of extractive processes including domestic and industry usage, and agricultural production. Several lakes in the United States are experiencing lower levels of water, intermittent dry events, and saltwater intrusion. Managing water withdrawal is an important effort to combat water scarcity in the face of accelerating climate change." columns {tiles {type: MAP title: "Rate of Water Withdrawal (${date})" stat_var_key: "WithdrawalRate_Water"}} columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "WithdrawalRate_Water"}} } @@ -81,7 +81,7 @@ categories { #---------- Observed Temperatures ----------# blocks { title: "Observed Temperatures" - description: "Observed temperature datasets can support a great variety of climate change analysis. Tied with its relationship to the changes in our atmosphere, temperature change directly impacts human health." + description: "According to the National Oceanic and Atmospheric Administration, Earth's temperature has risen at an average of 0.14 degrees Fahrenheit per decade since 1880. Having an authoritative, verifiable baseline for temperatures allows us to look at how temperature has changed so far, and use that information to create helpful climate models that project what temperatures could look like in the future." columns {tiles {type: MAP title: "Mean Temperature (${date})" stat_var_key: "Mean_Temperature"}} columns {tiles {type: LINE stat_var_key: "Mean_Temperature"}} } @@ -108,7 +108,7 @@ categories { categories { title: "Observed Emissions" - description: "Non biogenic emissions are any emissions that do not come from a natural source. There are several natural sources of Carbon dioxide, methane, and other commonly emitted greenhouse gasses (GHG’s). However, human activities contribute a significantly larger amount of GHG emissions to our atmosphere, and are highlighted in the following visualizations." + description: "As more greenhouse gasses (GHGs) occupy our atmosphere, the more our atmosphere will trap energy from the sun, increasing temperatures globally. Tracking emissions and their source is an integral part to managing our environmental footprint. The phrase \"non biogenic emissions\" refers to any emissions that do not come from a natural source. There are several natural sources of Carbon Dioxide, methane, and other greenhouse gasses. However, human activities contribute a significantly larger amount of GHG emissions to our atmosphere, and are highlighted in the following visualizations." blocks { columns {tiles {type: MAP title: "Annual Emissions of Non Biogenic Greenhouse Gases (${date})" stat_var_key: "Annual_Emissions_GreenhouseGas_NonBiogenic"}} @@ -137,29 +137,29 @@ categories { #---------- Climate Hazard Damages ----------# blocks { title: "Climate Hazard Damages" - description: "The Federal Emergency Management Agency (FEMA) manages the National Flood Insurance Program (NFIP) to support communities recovering from flood damages. Programs like this are vital to communities facing climate hazards and the recovery process." + description: "Climate hazards are atmospheric events that cause damage to human settlements or the natural environment. These events include thunderstorms, cyclones, earthquakes, hail, snow, and drought to name a few. In some places of the U.S. there are insurance agencies that are beginning to recognize the costs of climate change and are integrating that into their processes. The following data helps visualize the monetary response to flooding hazards in the United States, sourced through Federal Emergency Management Agency (FEMA)’s National Flood Insurance Program." columns { tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} - tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: false} stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} + #tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: false} stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} } - columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} + #columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} } stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" name: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA)"}} blocks { columns {tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} - columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + #columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} } stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" name: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA)"}} #---------- Wildfires ----------# blocks { title: "Wildfires" - description: "The increase in dry leaf litter and water scarcity has significant implications for the future of wildfires in the United States. Forestry managers highly value the tracking of wildfires to prevent and protect." - columns {tiles {type: MAP title: "Wildfires (${date})" stat_var_key: "Count_WildfireEvent"}} - columns {tiles {type: LINE stat_var_key: "Count_WildfireEvent"}} + description: "Here we want to highlight what different types of data may be available for a specific climate hazard, the wildfire. Wildfires can cover wide expanses of land relatively quickly based on factors like wind speed and dry forest litter abundance. These events not only impact the immediate area, but can impact human health downwind due to ash/smoke traveling through the air." + columns {tiles {type: MAP title: "Annual Amount of Emissions: Wildfire, Non Biogenic Emission Source, PM 2.5 (${date})" stat_var_key: "Annual_Amount_Emissions_Wildfire_NonBiogenicEmissionSource_PM2.5"}} + columns {tiles {type: LINE stat_var_key: "Annual_Amount_Emissions_Wildfire_NonBiogenicEmissionSource_PM2.5"}} } - stat_var_spec {key: "Count_WildfireEvent" value {stat_var: "Count_WildfireEvent" name: "Wildfires"}} + stat_var_spec {key: "Annual_Amount_Emissions_Wildfire_NonBiogenicEmissionSource_PM2.5" value {stat_var: "Annual_Amount_Emissions_Wildfire_NonBiogenicEmissionSource_PM2.5" name: "Annual Amount of Emissions: Wildfire, Non Biogenic Emission Source, PM 2.5"}} blocks { columns {tiles {type: LINE stat_var_key: "Count_DenseSmokeEvent"}} @@ -192,32 +192,33 @@ categories { #---------- Marine and Water Hazards ----------# blocks { title: "Marine and Water Hazards" - description: "Coastal and water hazards introduce a myriad of challenges for a community. These hazards can be some of the most damaging to property and human health." + description: "Hurricanes and coastal flooding are destructive, and sometimes life threatening events that our coastal communities face. As storms become more intense due to abundant energy in our atmosphere, coastal populations face the decision whether to retreat or to armor their coastline. Datasets like the following track these water hazards to enable us to make better decisions on how to address incoming storms." columns {tiles {type: LINE stat_var_key: "Count_HurricaneEvent"}} } stat_var_spec {key: "Count_HurricaneEvent" value {stat_var: "Count_HurricaneEvent" name: "Count of Hurricane Event"}} - blocks { - columns {tiles {type: MAP title: "Count of Flash Flood Event (${date})" stat_var_key: "Count_FlashFloodEvent"}} - columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FlashFloodEvent"}} - } - stat_var_spec {key: "Count_FlashFloodEvent" value {stat_var: "Count_FlashFloodEvent" name: "Count of Flash Flood Event"}} +# blocks { +# columns {tiles {type: MAP title: "Count of Flash Flood Event (${date})" stat_var_key: "Count_FlashFloodEvent"}} +# columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FlashFloodEvent"}} +# } +# stat_var_spec {key: "Count_FlashFloodEvent" value {stat_var: "Count_FlashFloodEvent" name: "Count of Flash Flood Event"}} blocks { - columns {tiles {type: MAP title: "Count of Flood Event (${date})" stat_var_key: "Count_FloodEvent"}} - columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FloodEvent"}} + #columns {tiles {type: MAP title: "Count of Flood Event (${date})" stat_var_key: "Count_FloodEvent"}} + #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FloodEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_FloodEvent"}} } stat_var_spec {key: "Count_FloodEvent" value {stat_var: "Count_FloodEvent" name: "Count of Flood Event"}} - blocks { - columns {tiles {type: LINE stat_var_key: "Count_HurricaneTyphoonEvent"}} - } - stat_var_spec {key: "Count_HurricaneTyphoonEvent" value {stat_var: "Count_HurricaneTyphoonEvent" name: "Count of Hurricane Typhoon Event"}} +# blocks { +# columns {tiles {type: LINE stat_var_key: "Count_HurricaneTyphoonEvent"}} +# } +# stat_var_spec {key: "Count_HurricaneTyphoonEvent" value {stat_var: "Count_HurricaneTyphoonEvent" name: "Count of Hurricane Typhoon Event"}} - blocks { - columns {tiles {type: LINE stat_var_key: "Count_TropicalDepressionEvent"}} - } - stat_var_spec {key: "Count_TropicalDepressionEvent" value {stat_var: "Count_TropicalDepressionEvent" name: "Count of Tropical Depression Event"}} +# blocks { +# columns {tiles {type: LINE stat_var_key: "Count_TropicalDepressionEvent"}} +# } +# stat_var_spec {key: "Count_TropicalDepressionEvent" value {stat_var: "Count_TropicalDepressionEvent" name: "Count of Tropical Depression Event"}} blocks { columns {tiles {type: LINE stat_var_key: "Count_TropicalStormEvent"}} @@ -232,44 +233,49 @@ categories { #---------- Atmospheric Events/Hazards ----------# blocks { title: "Atmospheric Events/Hazards" - description: "As our atmosphere traps more energy from the sun due to an increase in GHG’s, we face a range of symptoms including increased temperature, intense storms, and excessive rain events." + description: "Climate change has a key role in impacting severe weather events worldwide. As our atmosphere traps more heat, extreme weather events will become more likely. The American Meteorological Society released their annual report in 2021 highlighting the occurrence of \"compound events\" where two weather events happen simultaneously. An example of this would be severe heat coupled with lack of rainfall. This weather coupling is a recipe for dry forest litter, which can lead to severe forest fires." columns { tiles {type: LINE stat_var_key: "Count_ExcessiveHeatEvent"} - tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExcessiveHeatEvent"} + #tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExcessiveHeatEvent"} } - columns {tiles {type: MAP title: "Count of Excessive Heat Event (${date})" stat_var_key: "Count_ExcessiveHeatEvent"}} + #columns {tiles {type: MAP title: "Count of Excessive Heat Event (${date})" stat_var_key: "Count_ExcessiveHeatEvent"}} } stat_var_spec {key: "Count_ExcessiveHeatEvent" value {stat_var: "Count_ExcessiveHeatEvent" name: "Count of Excessive Heat Event"}} blocks { - columns {tiles {type: MAP title: "Count of Extreme Cold Wind Chill Event (${date})" stat_var_key: "Count_ExtremeColdWindChillEvent"}} - columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExtremeColdWindChillEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_ExtremeColdWindChillEvent"}} + #columns {tiles {type: MAP title: "Count of Extreme Cold Wind Chill Event (${date})" stat_var_key: "Count_ExtremeColdWindChillEvent"}} + #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExtremeColdWindChillEvent"}} } stat_var_spec {key: "Count_ExtremeColdWindChillEvent" value {stat_var: "Count_ExtremeColdWindChillEvent" name: "Count of Extreme Cold Wind Chill Event"}} blocks { - columns {tiles {type: MAP title: "Heat Waves (${date})" stat_var_key: "Count_HeatEvent"}} - columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HeatEvent"}} + #columns {tiles {type: MAP title: "Heat Waves (${date})" stat_var_key: "Count_HeatEvent"}} + #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatEvent"}} } stat_var_spec {key: "Count_HeatEvent" value {stat_var: "Count_HeatEvent" name: "Heat Waves"}} blocks { - columns {tiles {type: MAP title: "Heavy Rains (${date})" stat_var_key: "Count_HeavyRainEvent"}} - columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeavyRainEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HeavyRainEvent"}} + #columns {tiles {type: MAP title: "Heavy Rains (${date})" stat_var_key: "Count_HeavyRainEvent"}} + #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeavyRainEvent"}} } stat_var_spec {key: "Count_HeavyRainEvent" value {stat_var: "Count_HeavyRainEvent" name: "Heavy Rains"}} blocks { - columns {tiles {type: MAP title: "Count of Heat Temperature Event (${date})" stat_var_key: "Count_HeatTemperatureEvent"}} - columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatTemperatureEvent"}} + columns {tiles {type: LINE stat_var_key: "Count_HeatTemperatureEvent"}} + #columns {tiles {type: MAP title: "Count of Heat Temperature Event (${date})" stat_var_key: "Count_HeatTemperatureEvent"}} + #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatTemperatureEvent"}} } stat_var_spec {key: "Count_HeatTemperatureEvent" value {stat_var: "Count_HeatTemperatureEvent" name: "Count of Heat Temperature Event"}} blocks { - columns {tiles {type: MAP title: "Droughts (${date})" stat_var_key: "Count_DroughtEvent"}} + #columns {tiles {type: MAP title: "Droughts (${date})" stat_var_key: "Count_DroughtEvent"}} columns { - tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_DroughtEvent"} - tiles {type: BAR stat_var_key: "Count_DroughtEvent"} + tiles {type: LINE stat_var_key: "Count_DroughtEvent"} + #tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_DroughtEvent"} + #tiles {type: BAR stat_var_key: "Count_DroughtEvent"} } } stat_var_spec {key: "Count_DroughtEvent" value {stat_var: "Count_DroughtEvent" name: "Droughts"}} From 26fc0365cd758e67ad2a374749088b2bca760f74 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 28 Aug 2023 22:16:43 -0700 Subject: [PATCH 46/84] remove extra space --- .../templates/custom_dc/custom/issue_landing/foodsecurity.html | 2 +- static/custom_dc/custom/overrides.css | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html index 4fb8775697..0a160696ba 100644 --- a/server/templates/custom_dc/custom/issue_landing/foodsecurity.html +++ b/server/templates/custom_dc/custom/issue_landing/foodsecurity.html @@ -37,7 +37,7 @@
    Food security at a glance
    Explore data for your region
    -
    +

    Food security organizations are asking these questions

    diff --git a/static/custom_dc/custom/overrides.css b/static/custom_dc/custom/overrides.css index 29fd475567..c3702ed206 100644 --- a/static/custom_dc/custom/overrides.css +++ b/static/custom_dc/custom/overrides.css @@ -152,7 +152,7 @@ h3 { margin-bottom: 3rem; } -article { +section.data-examples article { margin-bottom: 3rem; } From 14a8167daac2a11e2275eba3a03ad6c3eaf43aed Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 28 Aug 2023 22:17:13 -0700 Subject: [PATCH 47/84] Updated dc2_2 topic page --- .../{dc2_2 => development}/NGA.textproto | 52 +++++++++++++------ server/lib/util.py | 2 +- 2 files changed, 38 insertions(+), 16 deletions(-) rename server/config/topic_page/{dc2_2 => development}/NGA.textproto (73%) diff --git a/server/config/topic_page/dc2_2/NGA.textproto b/server/config/topic_page/development/NGA.textproto similarity index 73% rename from server/config/topic_page/dc2_2/NGA.textproto rename to server/config/topic_page/development/NGA.textproto index 147dc2b733..7a2ccb8c23 100644 --- a/server/config/topic_page/dc2_2/NGA.textproto +++ b/server/config/topic_page/development/NGA.textproto @@ -15,7 +15,7 @@ ## This file specifies the topic page config for poverty in USA metadata { - topic_id: "dc2_2" + topic_id: "development" topic_name: "Development Landscape" place_dcid: "country/NGA" contained_place_types { @@ -24,6 +24,17 @@ metadata { } } +categories { + title: "Introduction" + blocks { + columns { + tiles { + type: DESCRIPTION + description: "Nigeria is facing increasing pressure to deliver on its Sustainable Development Goals (SDGs) in the face of rising development needs, population growth, the COVID-19 pandemic, and the cost of living crisis. This dashboard aggregates country-level development data from Data Commons to show progress on the SDGs. It compares relationships across development indicators to identify the factors that are driving or slowing progress. This information is useful for understanding the development landscape in Nigeria since the adoption of the SDGs in 2015." + } + } + } +} categories { title: "Life Expectancy" @@ -63,6 +74,7 @@ categories { } blocks { + description: "Other factors which are undoubtedly helping to increase life expectancy include reduction in mortality from chronic diseases, and wider access to safe drinking water." columns { tiles { type: LINE @@ -118,26 +130,18 @@ categories { description: "Cumulative COVID-19 Deaths in ${placeName}" stat_var_key: "covidDeaths" } - } - } - - blocks { - columns { tiles { type: HIGHLIGHT - description: "Total Population in ${placeName}" - stat_var_key: "Count_Person" + description: "COVID-19 Deaths per 100,000 people in ${placeName}" + stat_var_key: "covidDeaths_pc" } } - } - - blocks { columns { tiles { type: HIGHLIGHT - description: "COVID-19 Deaths per 100,000 people in ${placeName}" - stat_var_key: "covidDeaths_pc" - } + description: "Total Population in ${placeName}" + stat_var_key: "Count_Person" + } } } @@ -298,6 +302,17 @@ categories { } } +categories { + blocks { + columns { + tiles { + type: DESCRIPTION + description: "Nonprofit organizations are providing hope and essential services to vulnerable people in Nigeria, aligned with the Sustainable Development Goals. During the pandemic, 132 nonprofits collectively spent 316 million Nigerian naira (about USD$409,000) to help people in need. These nonprofits reached over 2 million beneficiaries across 31 states and 206 local governments according to data from the [Nigeria Network of NGOs](http://nnngo.org/).\n\nMany nonprofits in Nigeria are working on critical issues including infant mortality, death from common disease, access to clean water, population growth and education. Here are some examples:\n* [Helpmum](https://helpmum.org/) is a social enterprise with the mission to reduce maternal and infant mortality in Africa. \n* [Project PINK BLUE](https://projectpinkblue.org/ngoscsos-cancer-policy-advocacy-nigeria/) is an organization engaged in cancer awareness, free cancer screenings, supporting to people battling with cancer, patient navigation, advocacy, fundraising for cancer patients, cancer research, oncology training and psychological support.\n* [Fairlife Africa](https://www.fairlifeafrica.org/) as a progressive, humanitarian organization. They are committed to empowering people through practical social initiatives and programs. The organisation stands for a fairer life for all people, by improving the life chances of the most disadvantaged serving people of all faiths, races, gender, and any other orientation, without discrimination.\n* [Onelife Initiative for Human Development](https://onelifeinitiative.org/sexual-reproductive-health-rights/) works to improve the well being of young people by providing safe spaces, skills, linkages and vocational training including information and resources to enable them to make informed life decisions.\n* [Serendipity Healthcare Foundation](https://www.serendipityhealthcare.org.in/home) is a growing organization positioned to fight poverty through provision of access to safe clean drinking water, basic sanitation and hygiene education; also through programs aimed at reducing the scourge of malaria in rural communities and saving lives at birth.\n\nThese are just a few examples of the many nonprofits that are working to improve the lives of vulnerable people in Nigeria. Their work is essential to building a more just and equitable society." + } + } + } +} + categories { blocks { columns { @@ -307,7 +322,7 @@ categories { } tiles { type: DESCRIPTION - description: "Designed by:\n\nOyebisi Babatunde Oluseyi\n\nExecutive Director\n\n[Nigeria Network of NGOs](https://nnngo.org/)" + description: "Authored by:\n\nOyebisi Babatunde Oluseyi\n\nExecutive Director\n\n[Nigeria Network of NGOs](https://nnngo.org/)" } tiles { type: DESCRIPTION @@ -318,6 +333,13 @@ categories { type: DESCRIPTION description: "![Oyebisi Babatunde Oluseyi](/custom_dc/custom/images/topics/development-landscape/EDD1.jpeg)" } + + tiles { + type: DESCRIPTION + description: "*The authors interacted with the following artificial intelligence tools to assist in the creation of content included in this site: Google Bard v2.0*" + } } + } + } \ No newline at end of file diff --git a/server/lib/util.py b/server/lib/util.py index 6cc19638cd..ac5fd09535 100644 --- a/server/lib/util.py +++ b/server/lib/util.py @@ -54,7 +54,7 @@ 'foodsecurity' : ['USA'], 'foodsecurity_old' : ['CA'], 'economic-and-social-growth' : ['COL'], - 'dc2_2' : ['NGA'], + 'development' : ['NGA'], 'climate' : ['USA'], 'climate_allvars' : ['USA'], 'playground' : ['US_Places'] From a3d4d976e08f82da4cd9d069f9e1b90c89299c95 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 28 Aug 2023 22:17:27 -0700 Subject: [PATCH 48/84] Update git hash --- deploy/helm_charts/envs/techsoup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 3fe98892c4..fc5693077c 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 1838055 + tag: 7b602ff flaskEnv: custom replicas: 1 From 2b6cac948ca8e21b90eb2e1a1dde048a73048cb7 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 28 Aug 2023 22:35:22 -0700 Subject: [PATCH 49/84] updated css --- static/custom_dc/custom/overrides.css | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/static/custom_dc/custom/overrides.css b/static/custom_dc/custom/overrides.css index c3702ed206..b94bd91198 100644 --- a/static/custom_dc/custom/overrides.css +++ b/static/custom_dc/custom/overrides.css @@ -175,4 +175,4 @@ section.data-examples article { .topicpage-searchbar { width: 100%; -} \ No newline at end of file +} From c8c03f70f3a5e1fcd2bfe1a93bdbd29c7c187337 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Tue, 29 Aug 2023 12:51:32 -0700 Subject: [PATCH 50/84] Climate topic page updates --- .../config/topic_page/climate/USA.textproto | 77 ++++++++----------- 1 file changed, 31 insertions(+), 46 deletions(-) diff --git a/server/config/topic_page/climate/USA.textproto b/server/config/topic_page/climate/USA.textproto index ea02884aaa..f191a51352 100644 --- a/server/config/topic_page/climate/USA.textproto +++ b/server/config/topic_page/climate/USA.textproto @@ -43,10 +43,10 @@ metadata { } -############ CATEGORY: Landuse/Remote Sensing/Atmospheric ############ +############ CATEGORY: Land and Water Use ############ categories { - title: "Land Use / Remote Sensing / Atmospheric" + title: "Land and Water Use" #---------- Land Use ----------# blocks { @@ -78,9 +78,16 @@ categories { } stat_var_spec {key: "WithdrawalRate_Water" value {stat_var: "WithdrawalRate_Water" name: "Rate of Water Withdrawal"}} +} + +############ CATEGORY: Observed Temperatures ############ + +categories { + title: "Observed Temperatures" + + #---------- Observed Temperatures ----------# blocks { - title: "Observed Temperatures" description: "According to the National Oceanic and Atmospheric Administration, Earth's temperature has risen at an average of 0.14 degrees Fahrenheit per decade since 1880. Having an authoritative, verifiable baseline for temperatures allows us to look at how temperature has changed so far, and use that information to create helpful climate models that project what temperatures could look like in the future." columns {tiles {type: MAP title: "Mean Temperature (${date})" stat_var_key: "Mean_Temperature"}} columns {tiles {type: LINE stat_var_key: "Mean_Temperature"}} @@ -91,10 +98,10 @@ categories { columns {tiles {type: LINE stat_var_key: "Mean_MaxTemperature"}} columns { tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Mean_MaxTemperature"} - tiles {type: MAP title: "Mean maximum temperature (${date})" stat_var_key: "Mean_MaxTemperature"} + tiles {type: MAP title: "Mean maximum temperature Celsius (${date})" stat_var_key: "Mean_MaxTemperature"} } } - stat_var_spec {key: "Mean_MaxTemperature" value {stat_var: "Mean_MaxTemperature" name: "Mean maximum temperature"}} + stat_var_spec {key: "Mean_MaxTemperature" value {stat_var: "Mean_MaxTemperature" name: "Mean maximum temperature (Celsius)"}} blocks { columns {tiles {type: MAP title: "Mean maximum temperature in forested areas (${date})" stat_var_key: "Mean_MaxTemperature_Forest"}} @@ -139,18 +146,18 @@ categories { title: "Climate Hazard Damages" description: "Climate hazards are atmospheric events that cause damage to human settlements or the natural environment. These events include thunderstorms, cyclones, earthquakes, hail, snow, and drought to name a few. In some places of the U.S. there are insurance agencies that are beginning to recognize the costs of climate change and are integrating that into their processes. The following data helps visualize the monetary response to flooding hazards in the United States, sourced through Federal Emergency Management Agency (FEMA)’s National Flood Insurance Program." columns { - tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} + tiles {type: LINE title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone (FEMA)" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} #tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: false} stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} } - #columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} + #columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone (FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"}} } - stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" name: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone(FEMA)"}} + stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent" name: "Settlement Amount (USD)"}} blocks { - columns {tiles {type: LINE stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} + columns {tiles {type: LINE title: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone (FEMA)" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} #columns {tiles {type: MAP title: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA) (${date})" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent"}} } - stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" name: "Settlement amount of natural hazard insurance for HOUSE CONTENT within the 100 year flood zone(FEMA)"}} + stat_var_spec {key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" value {stat_var: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingContents_FloodEvent" name: "Settlement Amount (USD)"}} #---------- Wildfires ----------# blocks { @@ -162,12 +169,12 @@ categories { stat_var_spec {key: "Annual_Amount_Emissions_Wildfire_NonBiogenicEmissionSource_PM2.5" value {stat_var: "Annual_Amount_Emissions_Wildfire_NonBiogenicEmissionSource_PM2.5" name: "Annual Amount of Emissions: Wildfire, Non Biogenic Emission Source, PM 2.5"}} blocks { - columns {tiles {type: LINE stat_var_key: "Count_DenseSmokeEvent"}} + columns {tiles {type: LINE title: "Dense Smoke" stat_var_key: "Count_DenseSmokeEvent"}} } stat_var_spec {key: "Count_DenseSmokeEvent" value {stat_var: "Count_DenseSmokeEvent" name: "Cloud of Dense Smoke Event"}} blocks { - columns {tiles {type: LINE stat_var_key: "Count_FireIncidentComplex"}} + columns {tiles {type: LINE title: "Fire Incident Complex" stat_var_key: "Count_FireIncidentComplex"}} } stat_var_spec {key: "Count_FireIncidentComplex" value {stat_var: "Count_FireIncidentComplex" name: "Count of Fire Incident Complex Event"}} @@ -193,7 +200,7 @@ categories { blocks { title: "Marine and Water Hazards" description: "Hurricanes and coastal flooding are destructive, and sometimes life threatening events that our coastal communities face. As storms become more intense due to abundant energy in our atmosphere, coastal populations face the decision whether to retreat or to armor their coastline. Datasets like the following track these water hazards to enable us to make better decisions on how to address incoming storms." - columns {tiles {type: LINE stat_var_key: "Count_HurricaneEvent"}} + columns {tiles {type: LINE title: "Hurricanes" stat_var_key: "Count_HurricaneEvent"}} } stat_var_spec {key: "Count_HurricaneEvent" value {stat_var: "Count_HurricaneEvent" name: "Count of Hurricane Event"}} @@ -204,11 +211,10 @@ categories { # stat_var_spec {key: "Count_FlashFloodEvent" value {stat_var: "Count_FlashFloodEvent" name: "Count of Flash Flood Event"}} blocks { - #columns {tiles {type: MAP title: "Count of Flood Event (${date})" stat_var_key: "Count_FloodEvent"}} - #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_FloodEvent"}} - columns {tiles {type: LINE stat_var_key: "Count_FloodEvent"}} + columns {tiles {type: MAP title: "Area of Flood Event (${date})" stat_var_key: "Area_FloodEvent"}} + columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Area_FloodEvent"}} } - stat_var_spec {key: "Count_FloodEvent" value {stat_var: "Count_FloodEvent" name: "Count of Flood Event"}} + stat_var_spec {key: "Area_FloodEvent" value {stat_var: "Area_FloodEvent" name: "Area of Flood Event"}} # blocks { # columns {tiles {type: LINE stat_var_key: "Count_HurricaneTyphoonEvent"}} @@ -221,12 +227,12 @@ categories { # stat_var_spec {key: "Count_TropicalDepressionEvent" value {stat_var: "Count_TropicalDepressionEvent" name: "Count of Tropical Depression Event"}} blocks { - columns {tiles {type: LINE stat_var_key: "Count_TropicalStormEvent"}} + columns {tiles {type: LINE title: "Tropical Storms" stat_var_key: "Count_TropicalStormEvent"}} } stat_var_spec {key: "Count_TropicalStormEvent" value {stat_var: "Count_TropicalStormEvent" name: "Count of Tropical Storm Event"}} blocks { - columns {tiles {type: LINE stat_var_key: "Count_CoastalFloodEvent"}} + columns {tiles {type: LINE title: "Coastal Floods" stat_var_key: "Count_CoastalFloodEvent"}} } stat_var_spec {key: "Count_CoastalFloodEvent" value {stat_var: "Count_CoastalFloodEvent" name: "Count of Coastal Flood Event"}} @@ -235,45 +241,24 @@ categories { title: "Atmospheric Events/Hazards" description: "Climate change has a key role in impacting severe weather events worldwide. As our atmosphere traps more heat, extreme weather events will become more likely. The American Meteorological Society released their annual report in 2021 highlighting the occurrence of \"compound events\" where two weather events happen simultaneously. An example of this would be severe heat coupled with lack of rainfall. This weather coupling is a recipe for dry forest litter, which can lead to severe forest fires." columns { - tiles {type: LINE stat_var_key: "Count_ExcessiveHeatEvent"} - #tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExcessiveHeatEvent"} + tiles {type: LINE title: "Excessive Heat (105° F or greater)" stat_var_key: "Count_ExcessiveHeatEvent"} } - #columns {tiles {type: MAP title: "Count of Excessive Heat Event (${date})" stat_var_key: "Count_ExcessiveHeatEvent"}} + columns {tiles {type: LINE title: "Heat Waves" stat_var_key: "Count_HeatEvent"}} } stat_var_spec {key: "Count_ExcessiveHeatEvent" value {stat_var: "Count_ExcessiveHeatEvent" name: "Count of Excessive Heat Event"}} - - blocks { - columns {tiles {type: LINE stat_var_key: "Count_ExtremeColdWindChillEvent"}} - #columns {tiles {type: MAP title: "Count of Extreme Cold Wind Chill Event (${date})" stat_var_key: "Count_ExtremeColdWindChillEvent"}} - #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_ExtremeColdWindChillEvent"}} - } - stat_var_spec {key: "Count_ExtremeColdWindChillEvent" value {stat_var: "Count_ExtremeColdWindChillEvent" name: "Count of Extreme Cold Wind Chill Event"}} - - blocks { - columns {tiles {type: LINE stat_var_key: "Count_HeatEvent"}} - #columns {tiles {type: MAP title: "Heat Waves (${date})" stat_var_key: "Count_HeatEvent"}} - #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatEvent"}} - } stat_var_spec {key: "Count_HeatEvent" value {stat_var: "Count_HeatEvent" name: "Heat Waves"}} blocks { - columns {tiles {type: LINE stat_var_key: "Count_HeavyRainEvent"}} - #columns {tiles {type: MAP title: "Heavy Rains (${date})" stat_var_key: "Count_HeavyRainEvent"}} - #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeavyRainEvent"}} + columns {tiles {type: LINE title: "Extreme Cold Wind Chill" stat_var_key: "Count_ExtremeColdWindChillEvent"}} + columns {tiles {type: LINE title: "Heavy Rains" stat_var_key: "Count_HeavyRainEvent"}} } + stat_var_spec {key: "Count_ExtremeColdWindChillEvent" value {stat_var: "Count_ExtremeColdWindChillEvent" name: "Count of Extreme Cold Wind Chill Event"}} stat_var_spec {key: "Count_HeavyRainEvent" value {stat_var: "Count_HeavyRainEvent" name: "Heavy Rains"}} - blocks { - columns {tiles {type: LINE stat_var_key: "Count_HeatTemperatureEvent"}} - #columns {tiles {type: MAP title: "Count of Heat Temperature Event (${date})" stat_var_key: "Count_HeatTemperatureEvent"}} - #columns {tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_HeatTemperatureEvent"}} - } - stat_var_spec {key: "Count_HeatTemperatureEvent" value {stat_var: "Count_HeatTemperatureEvent" name: "Count of Heat Temperature Event"}} - blocks { #columns {tiles {type: MAP title: "Droughts (${date})" stat_var_key: "Count_DroughtEvent"}} columns { - tiles {type: LINE stat_var_key: "Count_DroughtEvent"} + tiles {type: LINE title: "Droughts" stat_var_key: "Count_DroughtEvent"} #tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: true} stat_var_key: "Count_DroughtEvent"} #tiles {type: BAR stat_var_key: "Count_DroughtEvent"} } From 1a6bcce177da6cb207026e9c682de1d1b126ac67 Mon Sep 17 00:00:00 2001 From: caseylivingood <32850064+caseylivingood@users.noreply.github.com> Date: Tue, 29 Aug 2023 21:45:27 +0000 Subject: [PATCH 51/84] Updated poverty line mentions on food topic page --- .../topic_page/foodsecurity/USA.textproto | 24 +++++++++---------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/server/config/topic_page/foodsecurity/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto index d913477791..b4ab59a3bb 100644 --- a/server/config/topic_page/foodsecurity/USA.textproto +++ b/server/config/topic_page/foodsecurity/USA.textproto @@ -56,7 +56,7 @@ categories { columns { tiles { type: HIGHLIGHT - description: "People live in poverty" + description: "People live below the poverty line" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } tiles { @@ -71,7 +71,7 @@ categories { columns { tiles { type: MAP - title: "Population Living In Poverty (${date})" + title: "Population Living Below the Poverty Line (${date})" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months" } } @@ -80,7 +80,7 @@ categories { key: "Count_Person_BelowPovertyLevelInThePast12Months" value { stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" - name: "Population Living In Poverty" + name: "Population Living Below the Poverty Line" } } @@ -89,7 +89,7 @@ categories { columns { tiles { type: HIGHLIGHT - description: "Of people live in poverty" + description: "Of people live below the poverty line" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" } tiles { @@ -104,7 +104,7 @@ categories { columns { tiles { type: MAP - title: "Percentage of Population Living In Poverty (${date})" + title: "Percentage of Population Living Below the Poverty Line (${date})" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" } } @@ -114,7 +114,7 @@ categories { value { stat_var: "Count_Person_BelowPovertyLevelInThePast12Months" denom: "Count_Person" - name: "Percentage of Population Living In Poverty" + name: "Percentage of Population Living Below the Poverty Line" scaling: 100 unit: "%" } @@ -125,7 +125,7 @@ categories { columns { tiles { type: HIGHLIGHT - description: "Households in ${placeName} live in poverty but do not receive food assistance (SNAP)" + description: "Households in ${placeName} live below the poverty line and do not receive food assistance (SNAP)" stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" } tiles { @@ -140,7 +140,7 @@ categories { columns { tiles { type: MAP - title: "Percentage of Households in Poverty and Not Receiving SNAP (${date})" + title: "Percentage of Households That Live Below the Poverty Line and Not Receiving SNAP (${date})" stat_var_key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" } } @@ -149,7 +149,7 @@ categories { key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" value { stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" - name: "Households Not Receiving Food Stamps in Last Year, Income Below Poverty Level" + name: "Households That Live Below the Poverty Line and Not Receiving SNAP" } } @@ -157,7 +157,7 @@ categories { key: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months_pct" value { stat_var: "Count_Household_WithoutFoodStampsInThePast12Months_BelowPovertyLevelInThePast12Months" - name: "Percentage of Households in Poverty and Not Receiving SNAP" + name: "Percentage of Households That Live Below the Poverty Line and Not Receiving SNAP" denom: "Count_Household" scaling: 100 unit: "%" @@ -209,7 +209,7 @@ categories { columns { tiles { type: MAP - title: "Percentage of Population Living In Poverty (${date})" + title: "Percentage of Population Living Below the Poverty Line (${date})" stat_var_key: "Count_Person_BelowPovertyLevelInThePast12Months_pct" } } @@ -388,7 +388,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "Single mothers often have to deal with income disparities since women on average earn less than men. Combined with the pervasiveness of single mother households living in poverty, this financial challenge makes it difficult for mothers to ensure nutritious food is consistently available in their household." + description: "Single mothers often have to deal with income disparities since women on average earn less than men. Combined with the pervasiveness of single mother households living below the poverty line, this financial challenge makes it difficult for mothers to ensure nutritious food is consistently available in their household." } } } From e8293845b1f2a92da2837bf5f2d0b626ea18bbe3 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 30 Aug 2023 19:29:05 -0700 Subject: [PATCH 52/84] minor copyedits --- server/config/topic_page/climate/USA.textproto | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/server/config/topic_page/climate/USA.textproto b/server/config/topic_page/climate/USA.textproto index f191a51352..d524509010 100644 --- a/server/config/topic_page/climate/USA.textproto +++ b/server/config/topic_page/climate/USA.textproto @@ -144,7 +144,7 @@ categories { #---------- Climate Hazard Damages ----------# blocks { title: "Climate Hazard Damages" - description: "Climate hazards are atmospheric events that cause damage to human settlements or the natural environment. These events include thunderstorms, cyclones, earthquakes, hail, snow, and drought to name a few. In some places of the U.S. there are insurance agencies that are beginning to recognize the costs of climate change and are integrating that into their processes. The following data helps visualize the monetary response to flooding hazards in the United States, sourced through Federal Emergency Management Agency (FEMA)’s National Flood Insurance Program." + description: "Climate hazards are atmospheric events that cause damage to human settlements or the natural environment. These events include thunderstorms, cyclones, earthquakes, hail, snow, and drought to name a few. In some places of the U.S. there are insurance agencies that are beginning to recognize the costs of climate change and are integrating that into their processes. The following data helps visualize the monetary response to flooding hazards in the United States, sourced through the Federal Emergency Management Agency (FEMA)’s National Flood Insurance Program." columns { tiles {type: LINE title: "Settlement amount of natural hazard insurance for STRUCTURE DAMAGE within the 100 year flood zone (FEMA)" stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} #tiles {type: RANKING ranking_tile_spec {show_highest: true show_lowest: false} stat_var_key: "SettlementAmount_NaturalHazardInsurance_FEMAHighRiskFloodZone_BuildingStructure_FloodEvent"} @@ -239,7 +239,7 @@ categories { #---------- Atmospheric Events/Hazards ----------# blocks { title: "Atmospheric Events/Hazards" - description: "Climate change has a key role in impacting severe weather events worldwide. As our atmosphere traps more heat, extreme weather events will become more likely. The American Meteorological Society released their annual report in 2021 highlighting the occurrence of \"compound events\" where two weather events happen simultaneously. An example of this would be severe heat coupled with lack of rainfall. This weather coupling is a recipe for dry forest litter, which can lead to severe forest fires." + description: "Climate change plays a key role in impacting severe weather events worldwide. As our atmosphere traps more heat, extreme weather events will become more likely. The American Meteorological Society released their annual report in 2021 highlighting the occurrence of \"compound events\" where two weather events happen simultaneously. An example of this would be severe heat coupled with lack of rainfall. This weather coupling is a recipe for dry forest litter, which can lead to severe forest fires." columns { tiles {type: LINE title: "Excessive Heat (105° F or greater)" stat_var_key: "Count_ExcessiveHeatEvent"} } From 6999e0aa78e1121f136caf56cb9f842b530c2f58 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 30 Aug 2023 19:30:05 -0700 Subject: [PATCH 53/84] climate landing page initial commit --- server/routes/ts_issue_landing.py | 3 + .../templates/custom_dc/custom/homepage.html | 76 ++++++++++++- .../custom/issue_landing/climate.html | 102 ++++++++++++++++++ .../builtuparea_forestcoveredarea_usa.png | Bin 0 -> 701449 bytes static/custom_dc/custom/images/climate.png | Bin 0 -> 31155 bytes ...turaldisastercost_medianincome_florida.png | Bin 0 -> 254817 bytes .../images/water_withdrawalrate_iowa.png | Bin 0 -> 237860 bytes static/custom_dc/custom/overrides.css | 14 +++ 8 files changed, 194 insertions(+), 1 deletion(-) create mode 100644 server/templates/custom_dc/custom/issue_landing/climate.html create mode 100644 static/custom_dc/custom/images/builtuparea_forestcoveredarea_usa.png create mode 100644 static/custom_dc/custom/images/climate.png create mode 100644 static/custom_dc/custom/images/naturaldisastercost_medianincome_florida.png create mode 100644 static/custom_dc/custom/images/water_withdrawalrate_iowa.png diff --git a/server/routes/ts_issue_landing.py b/server/routes/ts_issue_landing.py index 66b765b9d0..c20c5daffe 100644 --- a/server/routes/ts_issue_landing.py +++ b/server/routes/ts_issue_landing.py @@ -30,3 +30,6 @@ def foodsecurity(): return flask.render_template('custom_dc/custom/issue_landing/foodsecurity.html') +@bp.route('/climate') +def climate(): + return flask.render_template('custom_dc/custom/issue_landing/climate.html') \ No newline at end of file diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index 01dd6edabf..d4c305e429 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -34,7 +34,7 @@

    Public data that can power your work

    Tailor made for civil society

    - Data Commons for Civil Society is powered by DataCommons.org, and includes + Data Commons for Civil Society is powered by Google's Data Commons, and includes resources tailored for organizations like yours, as well as additional data sets that reflect the issues most important to civil society. If you have datasets in mind that aren’t part of Data Commons, or you have a need that you wish you could meet using Data Commons, please take a moment to share your ideas. Your input will help us make @@ -61,8 +61,82 @@

    Are you a food security organization?
    + + {# +
    +
    +
    +
    Featured issue areas
    +

    + We are currently learning from organizations like yours to highlight data that is most relevant to your work. Let us know if you'd like to be involved and take a look at what we are working on. +

    +
    + Food Security + Climate Change +
    +
    +
    +
    + + #} + +{# +
    +
    +
    +
    What stories can you tell with Data Commons?
    +

    + Data Commons can help you create engaging, data-driven stories drawing from public data. Here are some examples: +

    + +
    +
    +
    +#} + +{# +

    Why is TechSoup committed to more public data?

    +

    + Many of the big challenges the world faces require deep insights to solve. These insights will need to be firmly grounded in data. We believe that equipping local civil society actors with access to public data will empower them to make decisions and take calculated risks in order to best serve their communities. We also know that civil society holds rich local insights, and we are committed to helping civil society organizations share their knowledge with the world in a more inclusive way. +

    + +

    Helping you to get the most out of Data Commons

    +

    + TechSoup, in partnership with Google's Data Commons team, and funded by Google.org, is making Data Commons information more accessible and useful to civil society. The scope of this effort includes a number of components: +

    +
      +
    • Training and support for civil society organizations using Data Commons
      • +
    • Templates and examples for building compelling narratives in various formats (such as this site)
      • +
    • Identifying and integrating new data sources relevant for nonprofits
      • +
    • Contributing nonprofit data to Data Commons, completing the picture of communities that has been painted by government and business
      • +
    + + +

    What stories can you tell with Data Commons?

    +

    + Data Commons can help you create engaging, data-driven stories drawing from public data. Here are some examples: +

    + +

    + To learn more about TechSoup’s open data work with civil society or to get involved, please visit us at publicdata.techsoup.org. +

    + +

    About TechSoup

    +

    + TechSoup leads a global network of civil society organizations to ensure that impact organizations everywhere can benefit from data, technology, and digital skills. To date, the TechSoup Global Network has connected more than 1.4 million organizations in 236 countries and territories with more than $21 billion in technology and financial resources. Our mission is to help civil society succeed in creating a more equitable world. Learn more about the TechSoup Global Network. +

    + +#} diff --git a/server/templates/custom_dc/custom/issue_landing/climate.html b/server/templates/custom_dc/custom/issue_landing/climate.html new file mode 100644 index 0000000000..c0503007be --- /dev/null +++ b/server/templates/custom_dc/custom/issue_landing/climate.html @@ -0,0 +1,102 @@ +{# + Copyright 2023 Google LLC + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + #} + + {%- extends BASE_HTML -%} + + {% set main_id = 'climate' %} + {% set page_id = 'page-climate' %} + {% set title = 'Climate' %} + + {% block content %} +
    +
    +
    +
    +

    Data Commons for Climate Change Organizations

    + +

    Climate change organizations are weighing in and sharing the data they need to bolster their reach and impact. + Read on to benefit from their input and don't forget to contribute by sharing the datasets that matter most to your organization.

    +
    +
    +
    Climate change at a glance
    +

    Based on your feedback, we've collected a number of statistics in Data Commons that may be helpful for climate change organizations.

    +
    + Explore data for your region +
    +
    +
    + +

    Climate change organizations are asking these questions

    + + +
    +

    How does socioeconomic status affect exposure to the costs of natural disaster impacts?

    +

    + + {% set chart_link='/tools/scatter#%26svx%3DMedian_Income_Person%26dx%3DCount_Person%26svy%3DAnnual_ExpectedLoss_NaturalHazardImpact%26dy%3DCount_Person%26epd%3DgeoId%2F12%26ept%3DCounty%26ct%3D1%26pp%3D' %} + + + + Annual costs from natural disasters vs. Median income in Florida + + Climate change can be tremendously costly to manage. Governments and communities oftentimes take on significant costs following a storm. Resilience efforts aim to enable a community to ‘bounce back’ after a damaging event. In places like Florida, where the highest number of hurricanes have made landfall in the U.S., coastal resilience and adaptation efforts are integral to preparing its communities for future storms. +

    +

    + Data Commons allows us to make visualizations like the following. Here we’re considering the intersection of two datasets, estimated annual costs from natural disasters, and the median income of a county. Data like this allow us to consider questions like, ‘How does socioeconomic status relate to natural disaster impacts?’ and enables us to dive deeper into considering which communities may be impacted by future storms. +

    + +
    + +
    +

    What types of water usage could have an impact on water scarcity?

    +

    + + {% set chart_link='/tools/timeline#place=geoId%2F19&statsVar=WithdrawalRate_Water_Industrial__WithdrawalRate_Water_Irrigation__WithdrawalRate_Water_Livestock__WithdrawalRate_Water_Domestic__WithdrawalRate_Water_Aquaculture' %} + + + + Withdrawal rates of water in Iowa + + Water and climate are intimately connected, and as climate change continues to affect worldwide water cycles we are faced with the challenge of managing this precious resource. In the United States there is a growing challenge of managing the rate of withdrawal from surface and groundwater reservoirs. The rapid extraction of water from these sources, coupled with the varying rates or replenishment, can have significant impacts on the future of water access. +

    +

    + In Iowa, the heart of the Corn Belt, water usage and agricultural production have been closely linked and managed. Data Commons allows us to explore that relationship by visualizing different agricultural sectors' water withdrawal over time. We can also add a non agricultural sector, like Industry, to further explore how water use has changed over time and for what purpose. This increase in industrial water withdrawal in 2005 could be linked to the growth in the biofuel industry in Iowa. Insights like these can be very useful when managing such a dynamic, and valuable resource like water. +

    +
    + +
    +

    How does the proportion of forested area compare to built-up area in the United States?

    +

    + + {% set chart_link='/tools/scatter#%26svx%3DLandCoverFraction_Forest%26dx%3DCount_Person%26svy%3DLandCoverFraction_BuiltUp%26dy%3DCount_Person%26epd%3Dcountry%2FUSA%26ept%3DCounty%26ct%3D1%26pp%3D' %} + + + + Built-up area vs. Forest covered area in the United States + + Forests play a key role in managing the amount of carbon in our atmosphere. As trees grow they store carbon in their biomass, reducing the amount of atmospheric carbon. Forests also provide a range of ecological services like biological habitat, water filtration, preventing soil erosion, and providing recreation. As humans create settlements, we inevitably alter the landscapes that come in contact with our development. +

    +

    + Tracking land use over time can be highly useful in managing resources like the forests. This data, hosted by Data Commons, allows us to compare the proportion of built-up area to forest covered area in 2019. Maps like this provide the opportunity to consider our growing relationship with our landscapes and can enable better planning practices for the future. +

    +
    + + + + + +
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} +.climate-landing-header { + background-image: url("/custom_dc/custom/images/climate.png"); + background-size: cover; + background-position: center; + height: 300px; + display: flex; + align-items: center; + justify-content: center; + text-align: center; + margin-bottom: 20px; +} + .cta-button { display: inline-block; padding: 10px 20px; @@ -109,6 +121,8 @@ cursor: pointer; margin-top: 1rem; margin-bottom: 1rem; + margin-left: 1rem; + margin-right: 1rem; } .cta-button:hover { From 3e57223aa6e8f25965685da01c01a4c29b864eaa Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 30 Aug 2023 19:30:20 -0700 Subject: [PATCH 54/84] git commit hash --- deploy/helm_charts/envs/techsoup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index fc5693077c..c39fe2eae4 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 7b602ff + tag: 1b2f2ac flaskEnv: custom replicas: 1 From 9386976abf76f74a8ac0396b9853b70be3b95200 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Wed, 30 Aug 2023 21:16:29 -0700 Subject: [PATCH 55/84] Add GTM script --- server/templates/custom_dc/custom/base.html | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/server/templates/custom_dc/custom/base.html b/server/templates/custom_dc/custom/base.html index a4ebfed7cd..05c14d3d23 100644 --- a/server/templates/custom_dc/custom/base.html +++ b/server/templates/custom_dc/custom/base.html @@ -34,6 +34,14 @@ + {# Google Tag Manager #} + + {# End Google Tag Manager #} + Data Commons for Civil Society @@ -48,6 +56,11 @@ + {# Google Tag Manager (noscript) #} + + {# End Google Tag Manager (noscript) #} +

      @@ -88,7 +88,7 @@

      Why is TechSoup committed to more public data?

      About this project

      - TechSoup, in partnership with Google's Data Commons team, and funded by Google.org, is making Data Commons information more accessible and useful to civil society. The scope of this effort includes a number of components: + TechSoup, in partnership with Google's Data Commons team, and funded by Google.org, is making Data Commons information more accessible and useful to civil society. The scope of this effort includes a number of components:

      • Training and support for civil society organizations using Data Commons
        • From 8ad26557fd2d4725305306126622e26185cd37a1 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Fri, 1 Sep 2023 15:35:39 -0700 Subject: [PATCH 64/84] Minor copyedits --- server/templates/custom_dc/custom/homepage.html | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index c99a926cbd..aaa4c14a23 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -25,17 +25,17 @@
        -

        Public data that can power your work

        +

        Public data that powers your work

        Data Commons for Civil Society is a powerful tool that makes it easy for nonprofits, NGOs, and other civil society organizations to find and use public data, and to explore connections between data sets. Whether you’re trying to make a data-informed decision or understand your community better, you can find data that matters to you.

        -

        Tailor made for civil society

        +

        Tailor-made for civil society

        Data Commons for Civil Society is powered by Google's Data Commons, and includes - resources tailored for organizations like yours, as well as additional data sets that reflect the issues most important + resources designed for organizations like yours, as well as additional data sets that reflect the issues most important to civil society. If you have datasets in mind that aren’t part of Data Commons, or you have a need that you wish you could meet using Data Commons, please take a moment to share your ideas. Your input will help us make Data Commons for Civil Society work better for you. @@ -65,7 +65,7 @@

        Exploring the issues that matter to you

        What stories can you tell with Data Commons?

        - Data Commons can help you create engaging, data-driven stories drawing from public data. Here are some examples: + Data Commons can help you create engaging, data-driven stories drawing from public data. Here are some examples from the TechSoup Global Network:

        • Hunger and Gender in Mexico
          • @@ -92,7 +92,7 @@

          About this project

          • Training and support for civil society organizations using Data Commons
            • -
          • Templates and examples for building compelling narratives in various formats (such as this site)
            • +
          • Providing templates and examples to help organizations build compelling narratives
          • Identifying and integrating new data sources relevant for nonprofits
          • Contributing nonprofit data to Data Commons, completing the picture of communities
          @@ -107,7 +107,7 @@

          About TechSoup

          TechSoup leads a global network of civil society organizations to ensure that impact organizations everywhere can benefit from data, technology, and digital skills. To date, the TechSoup Global Network has connected more than 1.4 million organizations in 236 countries and territories with more than $21 billion in technology and financial resources. Our mission is to help civil society succeed in creating a more equitable world. Learn more about the TechSoup Global Network.

          -

          Make a donation

          +

          Support our work

          Your support helps us get projects like this into the hands of grassroots organizations around the world. Donate to TechSoup today.

          From 75aad0ff0cecc4251b5c42aeaf4e3456f4f66d05 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Fri, 1 Sep 2023 16:09:58 -0700 Subject: [PATCH 65/84] change the order of stories --- server/templates/custom_dc/custom/homepage.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index aaa4c14a23..ce24837520 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -69,9 +69,9 @@
          What stories can you tell with Data Commons?

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    From cd72d880fa7d3bca4d8da2c4e78aca518a211ce3 Mon Sep 17 00:00:00 2001 From: caseylivingood <32850064+caseylivingood@users.noreply.github.com> Date: Sat, 2 Sep 2023 00:09:39 +0000 Subject: [PATCH 66/84] Small update to food security topic page --- server/config/topic_page/foodsecurity/USA.textproto | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/server/config/topic_page/foodsecurity/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto index b4ab59a3bb..69f92d8a8e 100644 --- a/server/config/topic_page/foodsecurity/USA.textproto +++ b/server/config/topic_page/foodsecurity/USA.textproto @@ -963,6 +963,14 @@ categories { } } } + blocks { + columns { + tiles { + type: DESCRIPTION + description: "_The authors interacted with the following artificial intelligence tools to assist in the creation of content included in this site: ChatGBT_" + } + } + } } #categories { From 255b0f94cba161583bd10f63a9bed09b1eac4bb7 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Fri, 1 Sep 2023 19:30:02 -0700 Subject: [PATCH 67/84] Don't show the story section for now --- server/templates/custom_dc/custom/homepage.html | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index ce24837520..8353b44224 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -59,7 +59,7 @@

    Exploring the issues that matter to you

    Climate Change
    - + {# + #}
    - +

    Why is TechSoup committed to more public data?

    Many of the big challenges the world faces require deep insights to solve. These insights will need to be firmly grounded in data. We believe that equipping local civil society actors with access to public data will empower them to make decisions and take calculated risks in order to best serve their communities. We also know that civil society holds rich local insights, and we are committed to helping civil society organizations share their knowledge with the world in a more inclusive way. From 53b021158bfdda8f1e0e0d78ef8cf808671f24f9 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Fri, 1 Sep 2023 19:40:39 -0700 Subject: [PATCH 68/84] Fixed a typo --- server/config/topic_page/foodsecurity/USA.textproto | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/server/config/topic_page/foodsecurity/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto index 69f92d8a8e..726f0bd030 100644 --- a/server/config/topic_page/foodsecurity/USA.textproto +++ b/server/config/topic_page/foodsecurity/USA.textproto @@ -967,7 +967,7 @@ categories { columns { tiles { type: DESCRIPTION - description: "_The authors interacted with the following artificial intelligence tools to assist in the creation of content included in this site: ChatGBT_" + description: "_The authors interacted with the following artificial intelligence tools to assist in the creation of content included in this site: ChatGPT_" } } } From dd04f850b9ed3b773399ec11f42a51ce9d5ff177 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Fri, 1 Sep 2023 19:51:03 -0700 Subject: [PATCH 69/84] Commenting out the final block for now --- .../config/topic_page/foodsecurity/USA.textproto | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/server/config/topic_page/foodsecurity/USA.textproto b/server/config/topic_page/foodsecurity/USA.textproto index 726f0bd030..13398979b0 100644 --- a/server/config/topic_page/foodsecurity/USA.textproto +++ b/server/config/topic_page/foodsecurity/USA.textproto @@ -963,14 +963,14 @@ categories { } } } - blocks { - columns { - tiles { - type: DESCRIPTION - description: "_The authors interacted with the following artificial intelligence tools to assist in the creation of content included in this site: ChatGPT_" - } - } - } + #blocks { + # columns { + # tiles { + # type: DESCRIPTION + # description: "_The authors interacted with the following artificial intelligence tools to assist in the creation of content included in this site: ChatGPT_" + # } + # } + #} } #categories { From 4f154deb14918af7ecee37eeb18b9a668ec6e1dc Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 4 Sep 2023 10:15:54 -0700 Subject: [PATCH 70/84] A few styling updates --- deploy/helm_charts/envs/techsoup.yaml | 2 +- server/templates/custom_dc/custom/base.html | 4 ++-- static/custom_dc/custom/overrides.css | 22 ++++++++++++++++++++- 3 files changed, 24 insertions(+), 4 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index f9874e97fa..0bec1d8e1e 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: 9386976 + tag: dd04f85 flaskEnv: custom replicas: 1 diff --git a/server/templates/custom_dc/custom/base.html b/server/templates/custom_dc/custom/base.html index f33a83d162..93269b04ac 100644 --- a/server/templates/custom_dc/custom/base.html +++ b/server/templates/custom_dc/custom/base.html @@ -74,7 +74,7 @@ {% endif %} - {{ NAME }} +

    {% if subpage_title %} {% if subpage_url %}{% endif %} @@ -121,7 +121,7 @@
    -
    From 179650acdec07624f9302ef57bb9295c4ecd9f72 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 25 Sep 2023 09:46:35 -0700 Subject: [PATCH 82/84] Add NGA story to homepage --- deploy/helm_charts/envs/techsoup.yaml | 2 +- server/templates/custom_dc/custom/homepage.html | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index fd04d68453..105c49e0b4 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: ec8aed7 + tag: bdf5b7c flaskEnv: custom replicas: 1 diff --git a/server/templates/custom_dc/custom/homepage.html b/server/templates/custom_dc/custom/homepage.html index ab649c03fc..faf9d7317a 100644 --- a/server/templates/custom_dc/custom/homepage.html +++ b/server/templates/custom_dc/custom/homepage.html @@ -70,7 +70,8 @@
    What stories can you tell with Data Commons?
    From 1aa51dfb141649ef2310a72745ecd3efd1298b51 Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 25 Sep 2023 09:47:29 -0700 Subject: [PATCH 83/84] Add debug logging for missing visualizations --- server/routes/topic_page/html.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index a17011edaa..3a9a4d4514 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -138,8 +138,10 @@ def topic_page(topic_id=None, place_dcid=None): return "Error: no config found" contained_place_type = topic_place_config.metadata.contained_place_types.get( place_type, None) + logging.info(f"TECHSOUP DEBUG: BEFORE remove_empty_charts: {topic_place_config}") topic_place_config = lib_subject_page_config.remove_empty_charts( topic_place_config, place_dcid, contained_place_type) + logging.info(f"TECHSOUP DEBUG: AFTER remove_empty_charts: {topic_place_config}") place_names = place_api.get_i18n_name([place_dcid]) if place_names: From 5d69d34d25391979ebc99cdb47df339b93533cca Mon Sep 17 00:00:00 2001 From: Stephen Lee Date: Mon, 25 Sep 2023 13:32:35 -0700 Subject: [PATCH 84/84] Fix for disappearing charts --- deploy/helm_charts/envs/techsoup.yaml | 2 +- server/routes/topic_page/html.py | 13 +++++++------ 2 files changed, 8 insertions(+), 7 deletions(-) diff --git a/deploy/helm_charts/envs/techsoup.yaml b/deploy/helm_charts/envs/techsoup.yaml index 105c49e0b4..2d8df38496 100644 --- a/deploy/helm_charts/envs/techsoup.yaml +++ b/deploy/helm_charts/envs/techsoup.yaml @@ -22,7 +22,7 @@ namespace: website: image: project: techsoup-data-commons - tag: bdf5b7c + tag: 1aa51df flaskEnv: custom replicas: 1 diff --git a/server/routes/topic_page/html.py b/server/routes/topic_page/html.py index 3a9a4d4514..7004a54b7d 100644 --- a/server/routes/topic_page/html.py +++ b/server/routes/topic_page/html.py @@ -25,6 +25,7 @@ import server.lib.util as libutil import server.routes.shared_api.place as place_api import server.services.datacommons as dc +import copy import logging # TechSoup - add search bar and child places @@ -138,10 +139,10 @@ def topic_page(topic_id=None, place_dcid=None): return "Error: no config found" contained_place_type = topic_place_config.metadata.contained_place_types.get( place_type, None) - logging.info(f"TECHSOUP DEBUG: BEFORE remove_empty_charts: {topic_place_config}") - topic_place_config = lib_subject_page_config.remove_empty_charts( - topic_place_config, place_dcid, contained_place_type) - logging.info(f"TECHSOUP DEBUG: AFTER remove_empty_charts: {topic_place_config}") + # [TECHSOUP] make a deep copy of the config so remove_empty_charts won't update the globally cached config + topic_place_config_filtered = copy.deepcopy(topic_place_config) + topic_place_config_filtered = lib_subject_page_config.remove_empty_charts( + topic_place_config_filtered, place_dcid, contained_place_type) place_names = place_api.get_i18n_name([place_dcid]) if place_names: @@ -172,8 +173,8 @@ def topic_page(topic_id=None, place_dcid=None): place_dcid=place_dcid, more_places=json.dumps(more_places), topic_id=topic_id, - topic_name=topic_place_config.metadata.topic_name or "", - page_config=MessageToJson(topic_place_config), + topic_name=topic_place_config_filtered.metadata.topic_name or "", + page_config=MessageToJson(topic_place_config_filtered), topics_summary=topics_summary, show_child_places=json.dumps(show_child_places), place_children=json.dumps(place_children),

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