From 117d074254970c5e8e2fa8ff53d68c2b25b6b9fb Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Tue, 13 Nov 2018 17:50:56 -0600 Subject: [PATCH 1/8] Created using Colaboratory --- ...22_Choose_appropriate_visualizations.ipynb | 5609 +++++++++++++++-- 1 file changed, 4959 insertions(+), 650 deletions(-) diff --git a/module2-choose-appropriate-visualizations/LS_DS_122_Choose_appropriate_visualizations.ipynb b/module2-choose-appropriate-visualizations/LS_DS_122_Choose_appropriate_visualizations.ipynb index 964e477..ddbbe21 100644 --- a/module2-choose-appropriate-visualizations/LS_DS_122_Choose_appropriate_visualizations.ipynb +++ b/module2-choose-appropriate-visualizations/LS_DS_122_Choose_appropriate_visualizations.ipynb @@ -1,652 +1,4961 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "_Lambda School Data Science_\n", - "# Choose appropriate visualizations" - ] + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "LS_DS_122_Choose_appropriate_visualizations.ipynb", + "version": "0.3.2", + "provenance": [], + "collapsed_sections": [ + "utu_8SjBF0SM" + ], + "include_colab_link": true + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + } }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Upgrade Seaborn\n", - "\n", - "Make sure you have at least version 0.9.0" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!pip install --upgrade seaborn" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import seaborn as sns\n", - "sns.__version__" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Fix misleading visualizations" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!wget https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/misleading.py\n", - " \n", - "import misleading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Fix misleading plot #1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "misleading.plot1()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Fix misleading plot #2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "misleading.plot2()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Fix misleading plot #3" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "misleading.plot3()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Fix misleading plot #4" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "_If you're on Jupyter (not Colab) then uncomment and run this cell below:_" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# import altair as alt\n", - "# alt.renderers.enable('notebook')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "misleading.plot4()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Links\n", - "- [How to Spot Visualization Lies](https://flowingdata.com/2017/02/09/how-to-spot-visualization-lies/)\n", - "- [Where to Start and End Your Y-Axis Scale](http://stephanieevergreen.com/y-axis/)\n", - "- [xkcd heatmap](https://xkcd.com/1138/)\n", - "- [Surprise Maps: Showing the Unexpected](https://medium.com/@uwdata/surprise-maps-showing-the-unexpected-e92b67398865)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Use Seaborn to visualize distributions and relationships with continuous and discrete variables\n", - "\n", - "#### Links\n", - "- [Seaborn tutorial](https://seaborn.pydata.org/tutorial.html)\n", - "- [Seaborn example gallery](https://seaborn.pydata.org/examples/index.html)\n", - "- [Chart Chooser](https://extremepresentation.typepad.com/files/choosing-a-good-chart-09.pdf)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Anscombe dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df = sns.load_dataset('anscombe')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### See the data's shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### See the data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### [Group by](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html) `'dataset'`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### [Describe](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html) the groups" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Get the [count](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.count.html), for each column in each group" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Get the [mean](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.mean.html) ..." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Get the [standard deviation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.std.html) ..." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Get the [correlation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.corr.html) ..." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Use pandas to [plot](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html) the groups, as scatter plots" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Use Seaborn to make [relational plots](http://seaborn.pydata.org/generated/seaborn.relplot.html)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Use Seaborn to make [linear model plots](http://seaborn.pydata.org/generated/seaborn.lmplot.html)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Links\n", - "- [Seaborn examples: Anscombe's quartet](http://seaborn.pydata.org/examples/anscombes_quartet.html)\n", - "- [Wikipedia: Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet)\n", - "- [The Datasaurus Dozen](https://www.autodeskresearch.com/publications/samestats)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Tips dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "tips = sns.load_dataset('tips')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### See the data's shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### See the first 5 rows" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Describe the data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Make univariate [distribution plots](https://seaborn.pydata.org/generated/seaborn.distplot.html)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Make bivariate [relational plots](https://seaborn.pydata.org/generated/seaborn.relplot.html)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Make univariate [categorical plots](https://seaborn.pydata.org/generated/seaborn.catplot.html)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Make bivariate [categorical plots](https://seaborn.pydata.org/generated/seaborn.catplot.html)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Flights" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "flights = sns.load_dataset('flights')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### See the data's shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### See the first 5 rows" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Describe the data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot year & passengers" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot month & passengers" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create a [pivot table](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.pivot_table.html) of passengers by month and year" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot the pivot table as a [heat map](https://seaborn.pydata.org/generated/seaborn.heatmap.html)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "metadata": { + "id": "gMF0lqDbF0Pd", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "_Lambda School Data Science_\n", + "# Choose appropriate visualizations" + ] + }, + { + "metadata": { + "id": "vPLx-2jrF0Pf", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Upgrade Seaborn\n", + "\n", + "Make sure you have at least version 0.9.0" + ] + }, + { + "metadata": { + "id": "G6AB5EByF0Ph", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 300 + }, + "outputId": "7cff3dcc-05cc-4329-e678-9d6b9b465c90" + }, + "cell_type": "code", + "source": [ + "!pip install --upgrade seaborn" + ], + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Collecting seaborn\n", + "\u001b[?25l Downloading https://files.pythonhosted.org/packages/a8/76/220ba4420459d9c4c9c9587c6ce607bf56c25b3d3d2de62056efe482dadc/seaborn-0.9.0-py3-none-any.whl (208kB)\n", + "\r\u001b[K 4% |█▋ | 10kB 15.7MB/s eta 0:00:01\r\u001b[K 9% |███▏ | 20kB 2.3MB/s eta 0:00:01\r\u001b[K 14% |████▊ | 30kB 2.7MB/s eta 0:00:01\r\u001b[K 19% |██████▎ | 40kB 2.7MB/s eta 0:00:01\r\u001b[K 24% |███████▉ | 51kB 3.1MB/s eta 0:00:01\r\u001b[K 29% |█████████▌ | 61kB 3.6MB/s eta 0:00:01\r\u001b[K 34% |███████████ | 71kB 3.8MB/s eta 0:00:01\r\u001b[K 39% |████████████▋ | 81kB 3.7MB/s eta 0:00:01\r\u001b[K 44% |██████████████▏ | 92kB 4.1MB/s eta 0:00:01\r\u001b[K 49% |███████████████▊ | 102kB 4.2MB/s eta 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satisfied, skipping upgrade: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (2.5.3)\n", + "Installing collected packages: seaborn\n", + " Found existing installation: seaborn 0.7.1\n", + " Uninstalling seaborn-0.7.1:\n", + " Successfully uninstalled seaborn-0.7.1\n", + "Successfully installed seaborn-0.9.0\n" + ], + "name": "stdout" + } + ] + }, + { + "metadata": { + "id": "idg_G2KtF0Pm", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "862ab669-816d-450c-835b-73d358fb86d9" + }, + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "sns.__version__" + ], + "execution_count": 1, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'0.9.0'" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 1 + } + ] + }, + { + "metadata": { + "id": "PQ5snFdtF0Pr", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Fix misleading visualizations" + ] + }, + { + "metadata": { + "id": "_iftosatF0Pt", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "vtOk5Q6vF0Py", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 200 + }, + "outputId": "77c4d8d3-a7ce-4b5e-e113-284abd42917a" + }, + "cell_type": "code", + "source": [ + "!wget https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/misleading.py\n", + " \n", + "import misleading" + ], + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "text": [ + "--2018-11-13 17:21:54-- https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/misleading.py\n", + "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n", + "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 1641 (1.6K) [text/plain]\n", + "Saving to: ‘misleading.py’\n", + "\n", + "\rmisleading.py 0%[ ] 0 --.-KB/s \rmisleading.py 100%[===================>] 1.60K --.-KB/s in 0s \n", + "\n", + "2018-11-13 17:21:54 (141 MB/s) - ‘misleading.py’ saved [1641/1641]\n", + "\n" + ], + "name": "stdout" + } + ] + }, + { + "metadata": { + "id": "d-dGpRfrF0P1", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "#### Fix misleading plot #1" + ] + }, + { + "metadata": { + "id": "WnHOeUF2F0P3", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 313 + }, + "outputId": "39e4db9c-4d49-4938-e1d1-b10e26b8921c" + }, + "cell_type": "code", + "source": [ + "# Since y-axis origin is at 10 bars are taller than they should\n", + "misleading.plot1();" + ], + "execution_count": 170, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "lqg_5Gr3F0P7", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "misleading.plot1??\n", + "#this shows code for plot1 in 'misleading' file\n", + "'''\n", + "Signature: misleading.plot1()\n", + "Source: \n", + "def plot1():\n", + " return insurance.plot.bar(ylim=(10, 20)) # <-- y limit is from 10 to 20\n", + "File: /content/misleading.py\n", + "Type: function\n", + "'''" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "cvx3bYA3D_F_", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "91a955a4-4fd4-4422-ecc9-3c1acb8b55b6" + }, + "cell_type": "code", + "source": [ + "# The bar for State Farm should be 1.4 times taller than Geico's\n", + "# Yet it seems to taller than that\n", + "18.07 / 12.79" + ], + "execution_count": 177, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "1.4128225175918687" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 177 + } + ] + }, + { + "metadata": { + "id": "oedQNJK-IlCK", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "743b1c7c-25c7-4736-afb7-4e5a08741f38" + }, + "cell_type": "code", + "source": [ + "# It's actually about 3 times taller in misleading plot1\n", + "(18.07 - 10) / (12.79- 10)" + ], + "execution_count": 178, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "2.892473118279571" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 178 + } + ] + }, + { + "metadata": { + "id": "xclOfsCUI4K7", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 313 + }, + "outputId": "0f1b97a9-02aa-443c-e51a-5ea140f9c6ee" + }, + "cell_type": "code", + "source": [ + "# ylim(10, 20) needs to be removed in plot settings to fix bar heights\n", + "insurance = pd.DataFrame(\n", + " index=['State Farm', 'GEICO'],\n", + " data={'Market Share %':[18.07, 12.79]})\n", + "\n", + "insurance.plot.bar();" + ], + "execution_count": 179, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "2sK-dNc5F0P_", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "#### Fix misleading plot #2" + ] + }, + { + "metadata": { + "id": "UmNC7z18F0QB", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 310 + }, + "outputId": "7fff7c25-67d0-4b82-8852-2da18a95ec8e" + }, + "cell_type": "code", + "source": [ + "misleading.plot2();" + ], + "execution_count": 181, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "kMZsDAr4F0QF", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 137 + }, + "outputId": "18f5a011-6515-43b4-a03d-c87b56bffae3" + }, + "cell_type": "code", + "source": [ + "# Here, the chart only includes State Farm and GEICO as insurance co. in market\n", + "# Thus, the pie does not add up to 100%\n", + "# Pie's categories should be \"mutually exclusive, collectively exhaustive\"\n", + "# Add \"other\" category to the dataframe\n", + "\n", + "other = pd.DataFrame(\n", + " index=['Other'], data={'Market Share %': [100 - 18.07 - 12.79]})\n", + "\n", + "insurance = insurance.append(other)\n", + "insurance" + ], + "execution_count": 184, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Market Share %
State Farm18.07
GEICO12.79
Other69.14
\n", + "
" + ], + "text/plain": [ + " Market Share %\n", + "State Farm 18.07\n", + "GEICO 12.79\n", + "Other 69.14" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 184 + } + ] + }, + { + "metadata": { + "id": "awPr7CJ8KrGp", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 310 + }, + "outputId": "9e3eee7d-3bf8-477c-9cab-ca7815f44e79" + }, + "cell_type": "code", + "source": [ + "# Now the market share distribution looks a lot different\n", + "insurance.plot.pie('Market Share %', figsize=(5, 5));" + ], + "execution_count": 186, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "qx-rq1eXF0QN", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "#### Fix misleading plot #3" + ] + }, + { + "metadata": { + "id": "hjcWaEtUF0QP", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 335 + }, + "outputId": "eaceabba-2141-4606-d4fd-bddf4e96cba1" + }, + "cell_type": "code", + "source": [ + "misleading.plot3()" + ], + "execution_count": 10, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "pqRs6j9TLYRL", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# The problem here is that circles are sized by radius\n", + "# circle = plt.Circle(xy=(20, 20), radius=18.07)\n", + "# circle = plt.Circle(xy=(60, 20), radius=12.79)\n", + "misleading.plot3??" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "veC9nty-F0QV", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "38153d4c-c2d5-455d-f31e-9996bb1e21c0" + }, + "cell_type": "code", + "source": [ + "# People perceive size differences by area, not radius\n", + "# As seen in calculation below, first circle should appear 1.4x as big as second\n", + "18.07 / 12.79" + ], + "execution_count": 189, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "1.4128225175918687" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 189 + } + ] + }, + { + "metadata": { + "id": "lktax4zWL_i-", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "7d951219-9c36-479e-ab37-be65df318840" + }, + "cell_type": "code", + "source": [ + "from math import pi\n", + "# Yet first circle appears about 2x as big\n", + "(pi*18.07**2) / (pi*12.79**2)" + ], + "execution_count": 191, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "1.9960674662146263" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 191 + } + ] + }, + { + "metadata": { + "id": "1kjP3KVWMftb", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "32c5aaad-fbc5-4e5a-e35d-5ac2a7c677f1" + }, + "cell_type": "code", + "source": [ + "# By setting radius to square root of the data, areas will be correctly proportioned\n", + "from math import sqrt\n", + "sqrt(18.07)**2 / sqrt(12.79)**2" + ], + "execution_count": 192, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "1.4128225175918685" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 192 + } + ] + }, + { + "metadata": { + "id": "sZ1UjIHrJIQ_", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 335 + }, + "outputId": "45fae263-c5b1-412d-cf75-eefb3f428c0f" + }, + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# Code below extracted from misleading.plot3??\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "ax.set_xlim((0, 80))\n", + "ax.set_ylim((0, 40))\n", + "plt.axis('off')\n", + "\n", + "circle = plt.Circle(xy=(20, 20), radius=sqrt(18.07))\n", + "ax.add_artist(circle)\n", + "\n", + "circle = plt.Circle(xy=(60, 20), radius=sqrt(12.79))\n", + "ax.add_artist(circle)\n", + " \n", + "plt.title('State Farm vs GEICO - corrected')\n", + "plt.show();" + ], + "execution_count": 193, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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ezv956kGArRmfcfwnSe4x9SxJ/iLJQ9bL+SVTD8Le402Y2bZxKf5FOTGjKhnej/Ds2WK1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\nANCJsAIA6ERYAQB08v8BEZx9DZWR2r4AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "YNhvlhhoJfYg", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 335 + }, + "outputId": "59afe6a4-1893-4a70-8d69-99df8a205e92" + }, + "cell_type": "code", + "source": [ + "# We should scale the circles by a constant factor\n", + "scale = 18.07 / sqrt(18.07)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "ax.set_xlim((0, 80))\n", + "ax.set_ylim((0, 40))\n", + "plt.axis('off')\n", + "\n", + "circle = plt.Circle(xy=(20, 20), radius=sqrt(18.07)*scale) # scaling by constant 'scale'\n", + "ax.add_artist(circle)\n", + "\n", + "circle = plt.Circle(xy=(60, 20), radius=sqrt(12.79)*scale) # scaling by constant 'scale'\n", + "ax.add_artist(circle)\n", + "\n", + "plt.title('State Farm vs GEICO - Corrected')\n", + "plt.show()" + ], + "execution_count": 194, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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K3SakOwG7zLg9DNgoMteEXQWcDpw64/Zb95qSJM2FxUqz0l1S5/78\nednaGbhbZK61dClwGjNKVF3mv4+NJEkaE4uVJiIrqoy2YG0PbA1s1f13+W2zRYhxBbCEduuDmbdz\naUvUhYuQQZI0xSxWWhTddg8rK1ybA+sD661wW5f2UjC3zrgt7W6Xc8cCtcQz9CRJ0SxWkiRJE+Jp\n9ZIkSRNisZIkSZoQi5UkSdKEWKwkSZImxGIlSZI0IRYrSZKkCbFYSZIkTYjFSpIkaUIsVpIkSRNi\nsZIkSZoQi5UkSdKEWKwkSZImxGIlSZI0IRYrSZKkCbFYSZIkTYjFSpIkaUIsVpIkSRNisZIkSZoQ\ni5UkSdKEWKwkSZImxGIlSZI0IRYrSZKkCbFYSZIkTYjFSpIkaUIsVpIkSRNisZIkSZoQi5UkSdKE\nWKwkSZImxGIlSZI0IRYrSZKkCbFYSZIkTYjFSpIkaUIsVpIkSRNisZIkSZoQi5UkSdKEWKwkSZIm\n5P8D6hGpplR2vBwAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "dQDxzaJINvzI", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 335 + }, + "outputId": "78b1d97d-000e-463d-ec38-ed5397a493ac" + }, + "cell_type": "code", + "source": [ + "# Compare the corrected with the original\n", + "misleading.plot3()" + ], + "execution_count": 195, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "l5W6vzEiF0Qa", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "#### Fix misleading plot #4" + ] + }, + { + "metadata": { + "id": "5X4dyVBcF0Qb", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "_If you're on Jupyter (not Colab) then uncomment and run this cell below:_" + ] + }, + { + "metadata": { + "id": "LZy7qGoGF0Qc", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# import altair as alt\n", + "# alt.renderers.enable('notebook')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "lb3TKpQpF0Qh", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 346 + }, + "outputId": "bb7ff077-0527-48ee-8912-853a7057dec1" + }, + "cell_type": "code", + "source": [ + "misleading.plot4()" + ], + "execution_count": 15, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Chart({\n", + " data: UrlData({\n", + " format: TopoDataFormat({\n", + " feature: 'states',\n", + " type: 'topojson'\n", + " }),\n", + " url: 'https://vega.github.io/vega-datasets/data/us-10m.json'\n", + " }),\n", + " encoding: EncodingWithFacet({\n", + " color: Color({\n", + " shorthand: 'State Farm policy premiums',\n", + " type: 'quantitative'\n", + " })\n", + " }),\n", + " height: 300,\n", + " mark: 'geoshape',\n", + " projection: Projection({\n", + " type: 'albersUsa'\n", + " }),\n", + " transform: [LookupTransform({\n", + " from: LookupData({\n", + " data: state id State Farm policy premiums \\\n", + " 0 Alabama 1 768213 \n", + " 1 Alaska 2 128613 \n", + " 2 Arizona 4 760003 \n", + " 3 Arkansas 5 454931 \n", + " 4 California 6 3655463 \n", + " 5 Colorado 8 827143 \n", + " 6 Connecticut 9 169773 \n", + " 7 Delaware 10 191319 \n", + " 8 District of Columbia 11 67231 \n", + " 9 Florida 12 2806322 \n", + " 10 Georgia 13 1761224 \n", + " 11 Hawaii 15 133498 \n", + " 12 Idaho 16 130613 \n", + " 13 Illinois 17 2256543 \n", + " 14 Indiana 18 861382 \n", + " 15 Iowa 19 368898 \n", + " 16 Kansas 20 351343 \n", + " 17 Kentucky 21 680433 \n", + " 18 Louisiana 22 1415980 \n", + " 19 Maine 23 101111 \n", + " 20 Maryland 24 883401 \n", + " 21 Massachusetts 25 0 \n", + " 22 Michigan 26 1580398 \n", + " 23 Minnesota 27 851940 \n", + " 24 Mississippi 28 467887 \n", + " 25 Missouri 29 883774 \n", + " 26 Montana 30 156816 \n", + " 27 Nebraska 31 273727 \n", + " 28 Nevada 32 404688 \n", + " 29 New Hampshire 33 103340 \n", + " 30 New Jersey 34 619623 \n", + " 31 New Mexico 35 261922 \n", + " 32 New York 36 1666653 \n", + " 33 North Carolina 37 842368 \n", + " 34 North Dakota 38 67282 \n", + " 35 Ohio 39 1240075 \n", + " 36 Oklahoma 40 636063 \n", + " 37 Oregon 41 564416 \n", + " 38 Pennsylvania 42 1654528 \n", + " 39 Rhode Island 44 0 \n", + " 40 South Carolina 45 874436 \n", + " 41 South Dakota 46 101912 \n", + " 42 Tennessee 47 889329 \n", + " 43 Texas 48 3395165 \n", + " 44 Utah 49 300403 \n", + " 45 Vermont 50 30003 \n", + " 46 Virginia 51 878312 \n", + " 47 Washington 53 794882 \n", + " 48 West Virginia 54 323608 \n", + " 49 Wisconsin 55 443680 \n", + " 50 Wyoming 56 90412 \n", + " 51 Puerto Rico 72 0 \n", + " \n", + " BERKSHIRE HATHAWAY GRP STATE TOTAL \n", + " 0 282947 3025561 \n", + " 1 81366 454623 \n", + " 2 604049 4373055 \n", + " 3 96908 1777917 \n", + " 4 2091720 25255501 \n", + " 5 365797 4057463 \n", + " 6 486498 2795415 \n", + " 7 129033 802005 \n", + " 8 115149 325239 \n", + " 9 3952147 17333354 \n", + " 10 821326 7571988 \n", + " 11 184743 722550 \n", + " 12 87222 863636 \n", + " 13 412978 7028885 \n", + " 14 201200 3506499 \n", + " 15 58105 1650388 \n", + " 16 76533 1725608 \n", + " 17 186915 2805864 \n", + " 18 369492 4136224 \n", + " 19 68109 699558 \n", + " 20 1059508 4554586 \n", + " 21 473913 4924736 \n", + " 22 0 8462142 \n", + " 23 108942 3412460 \n", + " 24 100827 1760180 \n", + " 25 214191 3606590 \n", + " 26 33538 668513 \n", + " 27 61046 1167135 \n", + " 28 262815 2129828 \n", + " 29 103403 806545 \n", + " 30 1441019 7375823 \n", + " 31 174865 1284430 \n", + " 32 3926684 12633982 \n", + " 33 560700 5543700 \n", + " 34 15516 454376 \n", + " 35 405652 6303148 \n", + " 36 151388 2515842 \n", + " 37 223187 2647434 \n", + " 38 602848 8270326 \n", + " 39 97597 867558 \n", + " 40 426033 3583918 \n", + " 41 15682 508569 \n", + " 42 292357 3769652 \n", + " 43 2127633 19180816 \n", + " 44 139315 1723931 \n", + " 45 52939 359996 \n", + " 46 884489 5105360 \n", + " 47 478922 4780616 \n", + " 48 110806 1209872 \n", + " 49 131845 2950711 \n", + " 50 30187 374169 \n", + " 51 0 444480 ,\n", + " fields: ['State Farm policy premiums'],\n", + " key: 'id'\n", + " }),\n", + " lookup: 'id'\n", + " })],\n", + " width: 500\n", + "})" + ], + "text/html": [ + "\n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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\n", + " \n", + "\n", + "\n" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 18 + } + ] + }, + { + "metadata": { + "id": "LWDfesFRLjc9", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Load State Farm data\n", + "url = 'https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/direct_written_premium_by_state_by_group_private_passenger_auto.csv'\n", + "df = pd.read_csv(url)\n", + "df.rename(columns={'STATE FARM GRP': 'State Farm policy premiums'}, inplace=True)\n", + "variable = 'State Farm policy premiums'\n" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "9ImK5lAYLs-u", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 197 + }, + "outputId": "d8161e2a-9fc5-4b6b-96a3-b9ad88ed65f0" + }, + "cell_type": "code", + "source": [ + "df.head()" + ], + "execution_count": 21, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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stateidState Farm policy premiumsBERKSHIRE HATHAWAY GRPSTATE TOTAL
0Alabama17682132829473025561
1Alaska212861381366454623
2Arizona47600036040494373055
3Arkansas5454931969081777917
4California63655463209172025255501
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" + ], + "text/plain": [ + " state id State Farm policy premiums BERKSHIRE HATHAWAY GRP \\\n", + "0 Alabama 1 768213 282947 \n", + "1 Alaska 2 128613 81366 \n", + "2 Arizona 4 760003 604049 \n", + "3 Arkansas 5 454931 96908 \n", + "4 California 6 3655463 2091720 \n", + "\n", + " STATE TOTAL \n", + "0 3025561 \n", + "1 454623 \n", + "2 4373055 \n", + "3 1777917 \n", + "4 25255501 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 21 + } + ] + }, + { + "metadata": { + "id": "-y1lsM46LxCn", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# to see if state farm is doing better in some states than others \n", + "df['State Farm market share %'] = df['State Farm policy premiums']/df['STATE TOTAL']" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "H6BhzyY4Owwv", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 197 + }, + "outputId": "af4ae973-24d9-45a9-f5fe-e5bac7379827" + }, + "cell_type": "code", + "source": [ + "df.head()" + ], + "execution_count": 30, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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stateidState Farm policy premiumsBERKSHIRE HATHAWAY GRPSTATE TOTALState Farm market share %
0Alabama176821328294730255610.253908
1Alaska2128613813664546230.282900
2Arizona476000360404943730550.173792
3Arkansas54549319690817779170.255879
4California636554632091720252555010.144739
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" + ], + "text/plain": [ + " state id State Farm policy premiums BERKSHIRE HATHAWAY GRP \\\n", + "0 Alabama 1 768213 282947 \n", + "1 Alaska 2 128613 81366 \n", + "2 Arizona 4 760003 604049 \n", + "3 Arkansas 5 454931 96908 \n", + "4 California 6 3655463 2091720 \n", + "\n", + " STATE TOTAL State Farm market share % \n", + "0 3025561 0.253908 \n", + "1 454623 0.282900 \n", + "2 4373055 0.173792 \n", + "3 1777917 0.255879 \n", + "4 25255501 0.144739 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 30 + } + ] + }, + { + "metadata": { + "id": "i8srsv1rLxa_", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "misleading.plot4??" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "qs18l9ZpPH-i", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 346 + }, + "outputId": "5c277b64-f164-4783-d9ef-08447acf485d" + }, + "cell_type": "code", + "source": [ + "variable = 'State Farm market share %' # last column (variable) in df above\n", + "\n", + "# Code from misleading.plot4??\n", + "\n", + "alt.Chart(states).mark_geoshape().encode(\n", + " alt.Color(variable, type='quantitative')\n", + ").transform_lookup(\n", + " lookup='id',\n", + " from_=alt.LookupData(df, 'id', [variable])\n", + ").properties(\n", + " width=500,\n", + " height=300\n", + ").project(\n", + " type='albersUsa'\n", + ")" + ], + "execution_count": 200, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Chart({\n", + " data: UrlData({\n", + " format: TopoDataFormat({\n", + " feature: 'states',\n", + " type: 'topojson'\n", + " }),\n", + " url: 'https://vega.github.io/vega-datasets/data/us-10m.json'\n", + " }),\n", + " encoding: EncodingWithFacet({\n", + " color: Color({\n", + " shorthand: 'State Farm market share %',\n", + " type: 'quantitative'\n", + " })\n", + " }),\n", + " height: 300,\n", + " mark: 'geoshape',\n", + " projection: Projection({\n", + " type: 'albersUsa'\n", + " }),\n", + " transform: [LookupTransform({\n", + " from: LookupData({\n", + " data: dataset x y\n", + " 0 I 10.0 8.04\n", + " 1 I 8.0 6.95\n", + " 2 I 13.0 7.58\n", + " 3 I 9.0 8.81\n", + " 4 I 11.0 8.33\n", + " 5 I 14.0 9.96\n", + " 6 I 6.0 7.24\n", + " 7 I 4.0 4.26\n", + " 8 I 12.0 10.84\n", + " 9 I 7.0 4.82\n", + " 10 I 5.0 5.68\n", + " 11 II 10.0 9.14\n", + " 12 II 8.0 8.14\n", + " 13 II 13.0 8.74\n", + " 14 II 9.0 8.77\n", + " 15 II 11.0 9.26\n", + " 16 II 14.0 8.10\n", + " 17 II 6.0 6.13\n", + " 18 II 4.0 3.10\n", + " 19 II 12.0 9.13\n", + " 20 II 7.0 7.26\n", + " 21 II 5.0 4.74\n", + " 22 III 10.0 7.46\n", + " 23 III 8.0 6.77\n", + " 24 III 13.0 12.74\n", + " 25 III 9.0 7.11\n", + " 26 III 11.0 7.81\n", + " 27 III 14.0 8.84\n", + " 28 III 6.0 6.08\n", + " 29 III 4.0 5.39\n", + " 30 III 12.0 8.15\n", + " 31 III 7.0 6.42\n", + " 32 III 5.0 5.73\n", + " 33 IV 8.0 6.58\n", + " 34 IV 8.0 5.76\n", + " 35 IV 8.0 7.71\n", + " 36 IV 8.0 8.84\n", + " 37 IV 8.0 8.47\n", + " 38 IV 8.0 7.04\n", + " 39 IV 8.0 5.25\n", + " 40 IV 19.0 12.50\n", + " 41 IV 8.0 5.56\n", + " 42 IV 8.0 7.91\n", + " 43 IV 8.0 6.89,\n", + " fields: ['State Farm market share %'],\n", + " key: 'id'\n", + " }),\n", + " lookup: 'id'\n", + " })],\n", + " width: 500\n", + "})" + ], + "text/html": [ + "\n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 200 + } + ] + }, + { + "metadata": { + "id": "2iFEU94xF0Qo", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "#### Links\n", + "- [How to Spot Visualization Lies](https://flowingdata.com/2017/02/09/how-to-spot-visualization-lies/)\n", + "- [Where to Start and End Your Y-Axis Scale](http://stephanieevergreen.com/y-axis/)\n", + "- [xkcd heatmap](https://xkcd.com/1138/)\n", + "- [Surprise Maps: Showing the Unexpected](https://medium.com/@uwdata/surprise-maps-showing-the-unexpected-e92b67398865)" + ] + }, + { + "metadata": { + "id": "R1qvVhxZF0Qp", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Use Seaborn to visualize distributions and relationships with continuous and discrete variables\n", + "\n", + "#### Links\n", + "- [Seaborn tutorial](https://seaborn.pydata.org/tutorial.html)\n", + "- [Seaborn example gallery](https://seaborn.pydata.org/examples/index.html)\n", + "- [Chart Chooser](https://extremepresentation.typepad.com/files/choosing-a-good-chart-09.pdf)" + ] + }, + { + "metadata": { + "id": "DNPXjmwqF0Qs", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## 1. Anscombe dataset" + ] + }, + { + "metadata": { + "id": "1ujzIs2UF0Qt", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Load dataset" + ] + }, + { + "metadata": { + "id": "-6ka5busF0Qv", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "df = sns.load_dataset('anscombe')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "hfAnc0ioF0Q4", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### See the data's shape" + ] + }, + { + "metadata": { + "id": "K9uy0FP4F0Q5", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "24dffe0c-2985-4469-fa8d-7a0e886007d3" + }, + "cell_type": "code", + "source": [ + "df.shape" + ], + "execution_count": 43, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(44, 3)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 43 + } + ] + }, + { + "metadata": { + "id": "tJS8Qe9PF0Q-", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### See the data" + ] + }, + { + "metadata": { + "id": "0f0u_JnMF0RA", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1367 + }, + "outputId": "d8988046-53fb-4424-b2b8-6bb118b8ad80" + }, + "cell_type": "code", + "source": [ + "df" + ], + "execution_count": 48, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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datasetxy
0I10.08.04
1I8.06.95
2I13.07.58
3I9.08.81
4I11.08.33
5I14.09.96
6I6.07.24
7I4.04.26
8I12.010.84
9I7.04.82
10I5.05.68
11II10.09.14
12II8.08.14
13II13.08.74
14II9.08.77
15II11.09.26
16II14.08.10
17II6.06.13
18II4.03.10
19II12.09.13
20II7.07.26
21II5.04.74
22III10.07.46
23III8.06.77
24III13.012.74
25III9.07.11
26III11.07.81
27III14.08.84
28III6.06.08
29III4.05.39
30III12.08.15
31III7.06.42
32III5.05.73
33IV8.06.58
34IV8.05.76
35IV8.07.71
36IV8.08.84
37IV8.08.47
38IV8.07.04
39IV8.05.25
40IV19.012.50
41IV8.05.56
42IV8.07.91
43IV8.06.89
\n", + "
" + ], + "text/plain": [ + " dataset x y\n", + "0 I 10.0 8.04\n", + "1 I 8.0 6.95\n", + "2 I 13.0 7.58\n", + "3 I 9.0 8.81\n", + "4 I 11.0 8.33\n", + "5 I 14.0 9.96\n", + "6 I 6.0 7.24\n", + "7 I 4.0 4.26\n", + "8 I 12.0 10.84\n", + "9 I 7.0 4.82\n", + "10 I 5.0 5.68\n", + "11 II 10.0 9.14\n", + "12 II 8.0 8.14\n", + "13 II 13.0 8.74\n", + "14 II 9.0 8.77\n", + "15 II 11.0 9.26\n", + "16 II 14.0 8.10\n", + "17 II 6.0 6.13\n", + "18 II 4.0 3.10\n", + "19 II 12.0 9.13\n", + "20 II 7.0 7.26\n", + "21 II 5.0 4.74\n", + "22 III 10.0 7.46\n", + "23 III 8.0 6.77\n", + "24 III 13.0 12.74\n", + "25 III 9.0 7.11\n", + "26 III 11.0 7.81\n", + "27 III 14.0 8.84\n", + "28 III 6.0 6.08\n", + "29 III 4.0 5.39\n", + "30 III 12.0 8.15\n", + "31 III 7.0 6.42\n", + "32 III 5.0 5.73\n", + "33 IV 8.0 6.58\n", + "34 IV 8.0 5.76\n", + "35 IV 8.0 7.71\n", + "36 IV 8.0 8.84\n", + "37 IV 8.0 8.47\n", + "38 IV 8.0 7.04\n", + "39 IV 8.0 5.25\n", + "40 IV 19.0 12.50\n", + "41 IV 8.0 5.56\n", + "42 IV 8.0 7.91\n", + "43 IV 8.0 6.89" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 48 + } + ] + }, + { + "metadata": { + "id": "GYRbn4S8F0RD", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### [Group by](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html) `'dataset'`" + ] + }, + { + "metadata": { + "id": "tGGE1gtfF0RE", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "groups = df.groupby('dataset')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "ocZYOT6oF0RL", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### [Describe](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html) the groups" + ] + }, + { + "metadata": { + "id": "VOvoGFkcF0RN", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 227 + }, + "outputId": "311f8f2e-ab3c-42a0-e408-abfd68753c13" + }, + "cell_type": "code", + "source": [ + "# great table comes out as summary -- do as standard work flow\n", + "groups.describe()" + ], + "execution_count": 53, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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xy
countmeanstdmin25%50%75%maxcountmeanstdmin25%50%75%max
dataset
I11.09.03.3166254.06.59.011.514.011.07.5009092.0315684.266.3157.588.5710.84
II11.09.03.3166254.06.59.011.514.011.07.5009092.0316573.106.6958.148.959.26
III11.09.03.3166254.06.59.011.514.011.07.5000002.0304245.396.2507.117.9812.74
IV11.09.03.3166258.08.08.08.019.011.07.5009092.0305795.256.1707.048.1912.50
\n", + "
" + ], + "text/plain": [ + " x y \\\n", + " count mean std min 25% 50% 75% max count mean \n", + "dataset \n", + "I 11.0 9.0 3.316625 4.0 6.5 9.0 11.5 14.0 11.0 7.500909 \n", + "II 11.0 9.0 3.316625 4.0 6.5 9.0 11.5 14.0 11.0 7.500909 \n", + "III 11.0 9.0 3.316625 4.0 6.5 9.0 11.5 14.0 11.0 7.500000 \n", + "IV 11.0 9.0 3.316625 8.0 8.0 8.0 8.0 19.0 11.0 7.500909 \n", + "\n", + " \n", + " std min 25% 50% 75% max \n", + "dataset \n", + "I 2.031568 4.26 6.315 7.58 8.57 10.84 \n", + "II 2.031657 3.10 6.695 8.14 8.95 9.26 \n", + "III 2.030424 5.39 6.250 7.11 7.98 12.74 \n", + "IV 2.030579 5.25 6.170 7.04 8.19 12.50 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 53 + } + ] + }, + { + "metadata": { + "id": "lwNQB8t7F0RT", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Get the [count](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.count.html), for each column in each group" + ] + }, + { + "metadata": { + "id": "C9mOqHWeF0RV", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 197 + }, + "outputId": "c7f8e3eb-da68-4999-ac5a-64082fab54b2" + }, + "cell_type": "code", + "source": [ + "groups.count()" + ], + "execution_count": 54, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
xy
dataset
I1111
II1111
III1111
IV1111
\n", + "
" + ], + "text/plain": [ + " x y\n", + "dataset \n", + "I 11 11\n", + "II 11 11\n", + "III 11 11\n", + "IV 11 11" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 54 + } + ] + }, + { + "metadata": { + "id": "8mNSunMiF0RZ", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Get the [mean](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.mean.html) ..." + ] + }, + { + "metadata": { + "id": "atQD7NMGF0Ra", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 197 + }, + "outputId": "a3e8c6b3-a355-4275-884e-b8db7bcabb1f" + }, + "cell_type": "code", + "source": [ + "groups.mean()" + ], + "execution_count": 55, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
xy
dataset
I9.07.500909
II9.07.500909
III9.07.500000
IV9.07.500909
\n", + "
" + ], + "text/plain": [ + " x y\n", + "dataset \n", + "I 9.0 7.500909\n", + "II 9.0 7.500909\n", + "III 9.0 7.500000\n", + "IV 9.0 7.500909" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 55 + } + ] + }, + { + "metadata": { + "id": "oJindlJmF0Rd", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Get the [standard deviation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.std.html) ..." + ] + }, + { + "metadata": { + "id": "pDYA9avaF0Re", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 197 + }, + "outputId": "b8259f43-628e-4e08-8042-7d2ce25ae343" + }, + "cell_type": "code", + "source": [ + "groups.std()" + ], + "execution_count": 56, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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xy
dataset
I3.3166252.031568
II3.3166252.031657
III3.3166252.030424
IV3.3166252.030579
\n", + "
" + ], + "text/plain": [ + " x y\n", + "dataset \n", + "I 3.316625 2.031568\n", + "II 3.316625 2.031657\n", + "III 3.316625 2.030424\n", + "IV 3.316625 2.030579" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 56 + } + ] + }, + { + "metadata": { + "id": "bBB9eMwNF0Rp", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Get the [correlation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.corr.html) ..." + ] + }, + { + "metadata": { + "id": "1rC2sZQ-F0Rq", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 317 + }, + "outputId": "72ea2efe-c97b-446d-deb5-49373ea151b1" + }, + "cell_type": "code", + "source": [ + "# showing for each of groups correlation of x and y\n", + "# the fist diagonal x-correlated with x and y with y\n", + "# the correlation between x and y is the same accross\n", + "# These 4 datasets look the same\n", + "groups.corr()" + ], + "execution_count": 57, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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xy
dataset
Ix1.0000000.816421
y0.8164211.000000
IIx1.0000000.816237
y0.8162371.000000
IIIx1.0000000.816287
y0.8162871.000000
IVx1.0000000.816521
y0.8165211.000000
\n", + "
" + ], + "text/plain": [ + " x y\n", + "dataset \n", + "I x 1.000000 0.816421\n", + " y 0.816421 1.000000\n", + "II x 1.000000 0.816237\n", + " y 0.816237 1.000000\n", + "III x 1.000000 0.816287\n", + " y 0.816287 1.000000\n", + "IV x 1.000000 0.816521\n", + " y 0.816521 1.000000" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 57 + } + ] + }, + { + "metadata": { + "id": "qkVaKInCF0Ru", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Use pandas to [plot](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html) the groups, as scatter plots" + ] + }, + { + "metadata": { + "id": "yETQi6a9F0Rx", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1078 + }, + "outputId": "3dee7f13-716c-4cb1-807d-51070e80506e" + }, + "cell_type": "code", + "source": [ + "groups.plot(x='x', y='y', kind='scatter');" + ], + "execution_count": 67, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "X4X4CKQvF0R5", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Use Seaborn to make [relational plots](http://seaborn.pydata.org/generated/seaborn.relplot.html)" + ] + }, + { + "metadata": { + "id": "A87qViKJF0SB", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 728 + }, + "outputId": "25025d48-92c0-4ba3-b17e-6ca35469d1e6" + }, + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "sns.relplot('x', 'y', col='dataset', hue='dataset', col_wrap=2, data=df);" + ], + "execution_count": 71, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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KKdeUUv65lDJcSnl0kqcmeUsp5epSyon72q7z/c8spVzbGb+sM9ZXSnlLZ/tv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\nAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "hmtleQ2BF0SI", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Use Seaborn to make [linear model plots](http://seaborn.pydata.org/generated/seaborn.lmplot.html)" + ] + }, + { + "metadata": { + "id": "nYvR5FB_F0SJ", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 728 + }, + "outputId": "eb68cda4-edf9-4787-c3b3-da409e5fc4bb" + }, + "cell_type": "code", + "source": [ + "# lm = \"Linear Model\"\n", + "sns.lmplot('x', 'y', col='dataset', hue='dataset', col_wrap=2, data=df);" + ], + "execution_count": 73, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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dafGL/wLJ7N+VrwauvgXW3Q1180u7vzxRQBapYolUht7ROPFkutRbKYiMtbzwZh/bdx3n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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "zSgvmQyJYoai", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 728 + }, + "outputId": "b0522bf7-fe69-4b97-8fd4-c8a05e07a172" + }, + "cell_type": "code", + "source": [ + "# removing line of best fit shade (confidence interval -- ci)\n", + "sns.lmplot('x', 'y', col='dataset', hue='dataset', col_wrap=2, ci=None, data=df);" + ], + "execution_count": 74, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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ySU5s6Ty3dHkN5Du3fD6eff64kLfoCXOuhG8+cJ7TfSz85lHwqa5I5dJXnMgJ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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "utu_8SjBF0SM", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "#### Links\n", + "- [Seaborn examples: Anscombe's quartet](http://seaborn.pydata.org/examples/anscombes_quartet.html)\n", + "- [Wikipedia: Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet)\n", + "- [The Datasaurus Dozen](https://www.autodeskresearch.com/publications/samestats)" + ] + }, + { + "metadata": { + "id": "C-HIL7YQF0SN", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## 2. Tips dataset" + ] + }, + { + "metadata": { + "id": "MIaU-6swF0SO", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Load dataset" + ] + }, + { + "metadata": { + "id": "ZHIBRRcfF0SP", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "tips = sns.load_dataset('tips')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "n3Z00YNlF0SW", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### See the data's shape" + ] + }, + { + "metadata": { + "id": "40CCt4WZF0SW", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "65ecd3d4-8d6e-4550-f5bd-c27683335868" + }, + "cell_type": "code", + "source": [ + "tips.shape" + ], + "execution_count": 76, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(244, 7)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 76 + } + ] + }, + { + "metadata": { + "id": "-sO8GAfbF0Sb", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### See the first 5 rows" + ] + }, + { + "metadata": { + "id": "bOZbZM0hawWw", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1350 + }, + "outputId": "8c9b0b70-d624-4148-fbc6-9d4282193580" + }, + "cell_type": "code", + "source": [ + "help(pd.DataFrame.sample)" + ], + "execution_count": 81, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Help on function sample in module pandas.core.generic:\n", + "\n", + "sample(self, n=None, frac=None, replace=False, weights=None, random_state=None, axis=None)\n", + " Returns a random sample of items from an axis of object.\n", + " \n", + " Parameters\n", + " ----------\n", + " n : int, optional\n", + " Number of items from axis to return. Cannot be used with `frac`.\n", + " Default = 1 if `frac` = None.\n", + " frac : float, optional\n", + " Fraction of axis items to return. Cannot be used with `n`.\n", + " replace : boolean, optional\n", + " Sample with or without replacement. Default = False.\n", + " weights : str or ndarray-like, optional\n", + " Default 'None' results in equal probability weighting.\n", + " If passed a Series, will align with target object on index. Index\n", + " values in weights not found in sampled object will be ignored and\n", + " index values in sampled object not in weights will be assigned\n", + " weights of zero.\n", + " If called on a DataFrame, will accept the name of a column\n", + " when axis = 0.\n", + " Unless weights are a Series, weights must be same length as axis\n", + " being sampled.\n", + " If weights do not sum to 1, they will be normalized to sum to 1.\n", + " Missing values in the weights column will be treated as zero.\n", + " inf and -inf values not allowed.\n", + " random_state : int or numpy.random.RandomState, optional\n", + " Seed for the random number generator (if int), or numpy RandomState\n", + " object.\n", + " axis : int or string, optional\n", + " Axis to sample. Accepts axis number or name. Default is stat axis\n", + " for given data type (0 for Series and DataFrames, 1 for Panels).\n", + " \n", + " Returns\n", + " -------\n", + " A new object of same type as caller.\n", + " \n", + " Examples\n", + " --------\n", + " \n", + " Generate an example ``Series`` and ``DataFrame``:\n", + " \n", + " >>> s = pd.Series(np.random.randn(50))\n", + " >>> s.head()\n", + " 0 -0.038497\n", + " 1 1.820773\n", + " 2 -0.972766\n", + " 3 -1.598270\n", + " 4 -1.095526\n", + " dtype: float64\n", + " >>> df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))\n", + " >>> df.head()\n", + " A B C D\n", + " 0 0.016443 -2.318952 -0.566372 -1.028078\n", + " 1 -1.051921 0.438836 0.658280 -0.175797\n", + " 2 -1.243569 -0.364626 -0.215065 0.057736\n", + " 3 1.768216 0.404512 -0.385604 -1.457834\n", + " 4 1.072446 -1.137172 0.314194 -0.046661\n", + " \n", + " Next extract a random sample from both of these objects...\n", + " \n", + " 3 random elements from the ``Series``:\n", + " \n", + " >>> s.sample(n=3)\n", + " 27 -0.994689\n", + " 55 -1.049016\n", + " 67 -0.224565\n", + " dtype: float64\n", + " \n", + " And a random 10% of the ``DataFrame`` with replacement:\n", + " \n", + " >>> df.sample(frac=0.1, replace=True)\n", + " A B C D\n", + " 35 1.981780 0.142106 1.817165 -0.290805\n", + " 49 -1.336199 -0.448634 -0.789640 0.217116\n", + " 40 0.823173 -0.078816 1.009536 1.015108\n", + " 15 1.421154 -0.055301 -1.922594 -0.019696\n", + " 6 -0.148339 0.832938 1.787600 -1.383767\n", + "\n" + ], + "name": "stdout" + } + ] + }, + { + "metadata": { + "id": "hL9ciCM4F0Sb", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 197 + }, + "outputId": "492e5deb-dbcb-4804-e0d2-25f92f1f6901" + }, + "cell_type": "code", + "source": [ + "tips.head()" + ], + "execution_count": 77, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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total_billtipsexsmokerdaytimesize
016.991.01FemaleNoSunDinner2
110.341.66MaleNoSunDinner3
221.013.50MaleNoSunDinner3
323.683.31MaleNoSunDinner2
424.593.61FemaleNoSunDinner4
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" + ], + "text/plain": [ + " total_bill tip sex smoker day time size\n", + "0 16.99 1.01 Female No Sun Dinner 2\n", + "1 10.34 1.66 Male No Sun Dinner 3\n", + "2 21.01 3.50 Male No Sun Dinner 3\n", + "3 23.68 3.31 Male No Sun Dinner 2\n", + "4 24.59 3.61 Female No Sun Dinner 4" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 77 + } + ] + }, + { + "metadata": { + "id": "8EkyerA1F0Sd", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Describe the data" + ] + }, + { + "metadata": { + "id": "FywblxVxF0Sf", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "outputId": "74fa6135-7b97-44ab-deec-26b4cf175977" + }, + "cell_type": "code", + "source": [ + "tips.describe()" + ], + "execution_count": 84, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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total_billtipsize
count244.000000244.000000244.000000
mean19.7859432.9982792.569672
std8.9024121.3836380.951100
min3.0700001.0000001.000000
25%13.3475002.0000002.000000
50%17.7950002.9000002.000000
75%24.1275003.5625003.000000
max50.81000010.0000006.000000
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" + ], + "text/plain": [ + " total_bill tip size\n", + "count 244.000000 244.000000 244.000000\n", + "mean 19.785943 2.998279 2.569672\n", + "std 8.902412 1.383638 0.951100\n", + "min 3.070000 1.000000 1.000000\n", + "25% 13.347500 2.000000 2.000000\n", + "50% 17.795000 2.900000 2.000000\n", + "75% 24.127500 3.562500 3.000000\n", + "max 50.810000 10.000000 6.000000" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 84 + } + ] + }, + { + "metadata": { + "id": "f8E1HWU-bYHa", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 167 + }, + "outputId": "39d67906-50de-4546-8c62-436acdd7c10e" + }, + "cell_type": "code", + "source": [ + "tips.describe(exclude=[np.number])" + ], + "execution_count": 83, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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sexsmokerdaytime
count244244244244
unique2242
topMaleNoSatDinner
freq15715187176
\n", + "
" + ], + "text/plain": [ + " sex smoker day time\n", + "count 244 244 244 244\n", + "unique 2 2 4 2\n", + "top Male No Sat Dinner\n", + "freq 157 151 87 176" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 83 + } + ] + }, + { + "metadata": { + "id": "fQyB9v4GF0Sh", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Make univariate [distribution plots](https://seaborn.pydata.org/generated/seaborn.distplot.html)" + ] + }, + { + "metadata": { + "id": "9hZHFB4EF0Sl", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "outputId": "e5d04c34-21a6-4f43-8572-bdd775ea94dc" + }, + "cell_type": "code", + "source": [ + "# Distribution plot of tips\n", + "sns.distplot(tips.tip);" + ], + "execution_count": 86, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "PSV1gu3rb3f0", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 283 + }, + "outputId": "00bc2dde-8f94-4a3c-b3d6-c73a8798a469" + }, + "cell_type": "code", + "source": [ + "# distribution plot of the 'total bill' column\n", + "# Since total bill caps at $50 then it's reasonable that tips cap at around $10\n", + "sns.distplot(tips.total_bill);" + ], + "execution_count": 89, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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UDPv8vHykmY8um2NTNaPEk9vrp/ycjSuL6ewb5qtP7aV/aMTW6jHTEkxPfx1Q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\na5mGy1V1DYFh2C+LyBVjHwz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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "aq9TCQp7cuFH", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 298 + }, + "outputId": "70d81523-2f41-4347-d017-a2ea7644047f" + }, + "cell_type": "code", + "source": [ + "tips['percentage'] = tips.tip / tips.total_bill\n", + "sns.distplot(tips.percentage)" + ], + "execution_count": 90, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 90 + }, + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "1jf46zt2c-8U", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 368 + }, + "outputId": "ec892950-bb98-4f8e-e32c-e6d700355eaa" + }, + "cell_type": "code", + "source": [ + "# Changing alpha in plot to see overlap in tips\n", + "sns.relplot('tip', 'total_bill', data=tips, alpha=.5);" + ], + "execution_count": 93, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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9weJQQazpE0MFS68ryVrOFugKuPn8Q0e2PQm53iVdMkEmRG0a3SW5H/gs8KpS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\nmuzxIMTuOT6Ad3t7XT3BVL6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SP33ZkqjdIRn4KDP/sBj3fJJeF6/sYViW1MIS4pzIR7jnndZw3Mhodrbh0jQM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\nKKrPAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "UL543NtOdbIM", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 368 + }, + "outputId": "e782d68f-d528-400e-b3e7-68c217ddd3cf" + }, + "cell_type": "code", + "source": [ + "# as the bill changes how does the percentage tip change?\n", + "sns.relplot('total_bill', 'percentage', data=tips, alpha=.5);" + ], + "execution_count": 97, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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b7dW81mqOtaPtuZrGcK/HemvyG9HkVFuXtCpUfHsdjqcL43DT2QxvjUa4MBFb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\nm2l+4ka+Zpi/+ExGU7kRFlm+fvwKhwY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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "qjk_nR_VF0Sp", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Make bivariate [relational plots](https://seaborn.pydata.org/generated/seaborn.relplot.html)" + ] + }, + { + "metadata": { + "id": "b1pjpbXmF0Sq", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66 + }, + "outputId": "6971664e-1db3-4be7-f3fd-eba701e13f8a" + }, + "cell_type": "code", + "source": [ + "tips.sex.value_counts()" + ], + "execution_count": 100, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Male 157\n", + "Female 87\n", + "Name: sex, dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 100 + } + ] + }, + { + "metadata": { + "id": "vHvJ2_eaeCjM", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 311 + }, + "outputId": "3cf981d5-c746-40c0-cc80-938d0cc0f3b4" + }, + "cell_type": "code", + "source": [ + "tips.sex.value_counts().plot.bar()" + ], + "execution_count": 101, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 101 + }, + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "uUFZpB0SF0St", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Make univariate [categorical plots](https://seaborn.pydata.org/generated/seaborn.catplot.html)" + ] + }, + { + "metadata": { + "id": "8D-7eI_TF0Sv", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 368 + }, + "outputId": "8e188dad-2eb8-48d2-de2f-32736c86312e" + }, + "cell_type": "code", + "source": [ + "sns.catplot('sex', data=tips, kind='count');" + ], + "execution_count": 102, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "67qDbcwfF0Sx", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Make bivariate [categorical plots](https://seaborn.pydata.org/generated/seaborn.catplot.html)" + ] + }, + { + "metadata": { + "id": "PBFD_DMmF0Sx", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 368 + }, + "outputId": "38f10606-a687-43f5-c8ca-ba436d3ce55f" + }, + "cell_type": "code", + "source": [ + "sns.catplot('sex', 'tip', data=tips, kind='box');" + ], + "execution_count": 103, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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UbM0jvQnyJZsfXp7gs09sd+tbFRvh7a/Aub8w+R8sHzS0w0u/D0190Lgo62Bu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\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "kbGqcfENeofv", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 368 + }, + "outputId": "cc45442b-e11f-47d8-c80e-4596aa4dc1b1" + }, + "cell_type": "code", + "source": [ + "# all symetrically plotted\n", + "sns.catplot('sex', 'tip', data=tips, kind='swarm', alpha=.5);" + ], + "execution_count": 106, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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Svs9dD/5GfW3sHZh8V/eM63sGGrfr8pSjb+mz8N2PQfthiA7rGXgho2fhvU/q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\n+evTYyRzxcpYPrGvlZ9fmzEd/lje+ra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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "5DXq8J1Ke5Qv", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 368 + }, + "outputId": "e771e86d-d8ab-4b0f-925e-c8bd1e75240f" + }, + "cell_type": "code", + "source": [ + "# Gives avg tip and error bars\n", + "# Error bars overlapping shows that there's not necessarilly much tip diff\n", + "# So be cautious about drawing difference between the two\n", + "sns.catplot('sex', 'tip', data=tips, kind='bar');" + ], + "execution_count": 107, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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Flights" + ] + }, + { + "metadata": { + "id": "YFZp9nmsF0S-", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Load dataset" + ] + }, + { + "metadata": { + "id": "09beGD-TF0S_", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "flights = sns.load_dataset('flights')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "eiQ8PqpyF0TE", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### See the data's shape" + ] + }, + { + "metadata": { + "id": "wwfrFjA9F0TI", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 33 + }, + "outputId": "45cd4bee-d6c8-4ea2-e6f3-3d7c61d21502" + }, + "cell_type": "code", + "source": [ + "flights.shape" + ], + "execution_count": 112, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(144, 3)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 112 + } + ] + }, + { + "metadata": { + "id": "03RL5zJyF0TP", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### See the first 5 rows" + ] + }, + { + "metadata": { + "id": "ZsH6Tg5iF0TS", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 197 + }, + "outputId": "3779c10a-a4c5-4bc2-9922-6795fdabd389" + }, + "cell_type": "code", + "source": [ + "flights.head()" + ], + "execution_count": 116, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearmonthpassengers
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11949February118
21949March132
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" + ], + "text/plain": [ + " year month passengers\n", + "0 1949 January 112\n", + "1 1949 February 118\n", + "2 1949 March 132\n", + "3 1949 April 129\n", + "4 1949 May 121" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 116 + } + ] + }, + { + "metadata": { + "id": "i3bexgnNF0TP", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 347 + }, + "outputId": "cd09a9c1-a6b1-4b98-a56e-a7a74d557996" + }, + "cell_type": "code", + "source": [ + "flights.sample(10)" + ], + "execution_count": 115, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearmonthpassengers
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1381960July622
1171958October359
51949June135
791955August347
561953September237
241951January145
1071957December336
1241959May420
311951August199
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" + ], + "text/plain": [ + " year month passengers\n", + "118 1958 November 310\n", + "138 1960 July 622\n", + "117 1958 October 359\n", + "5 1949 June 135\n", + "79 1955 August 347\n", + "56 1953 September 237\n", + "24 1951 January 145\n", + "107 1957 December 336\n", + "124 1959 May 420\n", + "31 1951 August 199" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 115 + } + ] + }, + { + "metadata": { + "id": "D5G1uASwF0TS", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Describe the data" + ] + }, + { + "metadata": { + "id": "ZXvfj7Q4y--k", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "outputId": "71cfb92a-1063-404d-dc20-dca2aea128ae" + }, + "cell_type": "code", + "source": [ + "flights.describe()" + ], + "execution_count": 117, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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count144.000000144.000000
mean1954.500000280.298611
std3.464102119.966317
min1949.000000104.000000
25%1951.750000180.000000
50%1954.500000265.500000
75%1957.250000360.500000
max1960.000000622.000000
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" + ], + "text/plain": [ + " year passengers\n", + "count 144.000000 144.000000\n", + "mean 1954.500000 280.298611\n", + "std 3.464102 119.966317\n", + "min 1949.000000 104.000000\n", + "25% 1951.750000 180.000000\n", + "50% 1954.500000 265.500000\n", + "75% 1957.250000 360.500000\n", + "max 1960.000000 622.000000" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 117 + } + ] + }, + { + "metadata": { + "id": "lvowFiESzOSk", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 167 + }, + "outputId": "c79aaba5-e66b-41d8-a02c-c8b7b7ac4152" + }, + "cell_type": "code", + "source": [ + "flights.describe(exclude=[np.number])" + ], + "execution_count": 118, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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month
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topDecember
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\n", + "
" + ], + "text/plain": [ + " month\n", + "count 144\n", + "unique 12\n", + "top December\n", + "freq 12" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 118 + } + ] + }, + { + "metadata": { + "id": "poufNN73F0TW", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Plot year & passengers" + ] + }, + { + "metadata": { + "id": "EeD2Jf1k2WHT", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "outputId": "41829a2d-343d-475b-8b08-f0309586d898" + }, + "cell_type": "code", + "source": [ + " # To remove confidence interval (shade) use -- ci=None\n", + "sns.lineplot('year', 'passengers', data=flights);" + ], + "execution_count": 128, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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oO/oTfGHDTg4dj3Pd+Yt5w/qFORX2cT3leDxFU1Upy5uqcqo4Z04+2QYIUdW4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\nC7gxeLxk+H4vOM+fgJcAAtwHXDobrg0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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "MQmgiN3KF0TY", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "outputId": "7993303d-fc3f-4341-b669-af64481058f7" + }, + "cell_type": "code", + "source": [ + "# Line plot with lines of passengers per month/year\n", + "# Summer months (blues) have higher number of passengers\n", + "sns.lineplot('year', 'passengers', hue='month', legend='brief', data=flights);" + ], + "execution_count": 225, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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MGDGC9u3bM3XqVGw2GwDu7u489NBDdOrUic2bN6sFgZTL3m/HT/HvldsoqrDQ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\n/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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "aHugZFOHF0Th", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Plot month & passengers" + ] + }, + { + "metadata": { + "id": "0P6n-x_rF0Ti", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 413 + }, + "outputId": "088665fd-8fbe-40df-95ab-c34955b85797" + }, + "cell_type": "code", + "source": [ + "# Categorical (by month) bar plot\n", + "# Don't know yet how to expand x-axis to fit labels (months)\n", + "sns.catplot('month', 'passengers', data=flights,\n", + " palette='colorblind', kind='bar')\n", + "plt.xticks(rotation=90);" + ], + "execution_count": 219, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "iAydOXSzF0Tk", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Create a [pivot table](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.pivot_table.html) of passengers by month and year" + ] + }, + { + "metadata": { + "id": "avkkFIOmF0Tl", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 437 + }, + "outputId": "c2d847cc-1214-4ca6-9bb9-914daf5dd9d5" + }, + "cell_type": "code", + "source": [ + "# Increasing maximum rows to display\n", + "pd.set_option('display.max_rows', 500)\n", + "\n", + "# Pivot table method 1\n", + "#flights_pivot = pd.pivot_table(flights, values='passengers', index='month', columns='year')\n", + "\n", + "# Pivot table method 2\n", + "flights_pivot = flights.pivot('month', 'year', 'passengers')\n", + "flights_pivot" + ], + "execution_count": 203, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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December118140166194201229278306336337405432
\n", + "
" + ], + "text/plain": [ + "year 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 \\\n", + "month \n", + "January 112 115 145 171 196 204 242 284 315 340 360 \n", + "February 118 126 150 180 196 188 233 277 301 318 342 \n", + "March 132 141 178 193 236 235 267 317 356 362 406 \n", + "April 129 135 163 181 235 227 269 313 348 348 396 \n", + "May 121 125 172 183 229 234 270 318 355 363 420 \n", + "June 135 149 178 218 243 264 315 374 422 435 472 \n", + "July 148 170 199 230 264 302 364 413 465 491 548 \n", + "August 148 170 199 242 272 293 347 405 467 505 559 \n", + "September 136 158 184 209 237 259 312 355 404 404 463 \n", + "October 119 133 162 191 211 229 274 306 347 359 407 \n", + "November 104 114 146 172 180 203 237 271 305 310 362 \n", + "December 118 140 166 194 201 229 278 306 336 337 405 \n", + "\n", + "year 1960 \n", + "month \n", + "January 417 \n", + "February 391 \n", + "March 419 \n", + "April 461 \n", + "May 472 \n", + "June 535 \n", + "July 622 \n", + "August 606 \n", + "September 508 \n", + "October 461 \n", + "November 390 \n", + "December 432 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 203 + } + ] + }, + { + "metadata": { + "id": "X4hytF4yF0Tq", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Plot the pivot table as a [heat map](https://seaborn.pydata.org/generated/seaborn.heatmap.html)" + ] + }, + { + "metadata": { + "id": "y_PWdufCF0Tr", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "outputId": "ef120f26-d950-42c3-f7df-6909231417a4" + }, + "cell_type": "code", + "source": [ + "# Seems like number of passengers have increased as years go by\n", + "# Also higher travel season is around summer months\n", + "ax = sns.heatmap(flights_pivot, annot=True, fmt='d');" + ], + "execution_count": 164, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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QJ40GQSeEED7G9k+FEH8IIQ4A+4UQPwohPkgxpp/fOIRmN1u27CA6OpZ798/w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\n7qbrSm2t63ptd9FNFJFa5voFjIo8MIKNPrZmQVejFQLKKHF+U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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "TbKDxFtS-5fF", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + } + ] +} \ No newline at end of file From 726ffaf0e7bd874d9bf6c2d5a1cb3f1d4206404f Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Wed, 14 Nov 2018 21:44:31 -0600 Subject: [PATCH 2/8] Created using Colaboratory --- ..._123_Make_explanatory_visualizations.ipynb | 6509 ++++++++++++++++- 1 file changed, 6453 insertions(+), 56 deletions(-) diff --git a/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb b/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb index 94dbed8..f963bbf 100644 --- a/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb +++ b/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb @@ -1,58 +1,6455 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "_Lambda School Data Science_\n", - "\n", - "# Choose appropriate visualizations\n", - "\n", - "\n", - "Recreate this [example by FiveThirtyEight:](https://fivethirtyeight.com/features/al-gores-new-movie-exposes-the-big-flaw-in-online-movie-ratings/)\n", - "\n", - "![](https://fivethirtyeight.com/wp-content/uploads/2017/09/mehtahickey-inconvenient-0830-1.png?w=575)\n", - "\n", - "Using this data:\n", - "\n", - "https://github.com/fivethirtyeight/data/tree/master/inconvenient-sequel\n", - "\n", - "### Stretch goals\n", - "\n", - "Recreate more examples from [FiveThityEight's shared data repository](https://data.fivethirtyeight.com/).\n", - "\n", - "For example:\n", - "- [thanksgiving-2015](https://fivethirtyeight.com/features/heres-what-your-part-of-america-eats-on-thanksgiving/) ([`altair`](https://altair-viz.github.io/gallery/index.html#maps))\n", - "- [candy-power-ranking](https://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/) ([`statsmodels`](https://www.statsmodels.org/stable/index.html))" - ] + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "LS_DS_123_Make_explanatory_visualizations.ipynb", + "version": "0.3.2", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + } }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "cells": [ + { + "metadata": { + "id": "XW-RZiBLdgcl", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "_Lambda School Data Science_\n", + "\n", + "# Choose appropriate visualizations\n", + "\n", + "\n", + "Recreate this [example by FiveThirtyEight:](https://fivethirtyeight.com/features/al-gores-new-movie-exposes-the-big-flaw-in-online-movie-ratings/)\n", + "\n", + "![](https://fivethirtyeight.com/wp-content/uploads/2017/09/mehtahickey-inconvenient-0830-1.png?w=575)\n", + "\n", + "Using this data:\n", + "\n", + "https://github.com/fivethirtyeight/data/tree/master/inconvenient-sequel\n", + "\n", + "### Stretch goals\n", + "\n", + "Recreate more examples from [FiveThityEight's shared data repository](https://data.fivethirtyeight.com/).\n", + "\n", + "For example:\n", + "- [thanksgiving-2015](https://fivethirtyeight.com/features/heres-what-your-part-of-america-eats-on-thanksgiving/) ([`altair`](https://altair-viz.github.io/gallery/index.html#maps))\n", + "- [candy-power-ranking](https://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/) ([`statsmodels`](https://www.statsmodels.org/stable/index.html))" + ] + }, + { + "metadata": { + "id": "BnjXDmRrdgcn", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "leqPtGWqdgcq", + "colab_type": "code", + "colab": {}, + "outputId": "40dba040-234f-4ec8-b5bd-d8e7b53cb2b0" + }, + "cell_type": "code", + "source": [ + "# Producing fake data to mimic sample data by FiveThirtyEight\n", + "fake = pd.Series([38, 3, 2, 1, 2, 4, 6, 5, 5, 33], index=range(1,11))\n", + "fake" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "1 38\n", + "2 3\n", + "3 2\n", + "4 1\n", + "5 2\n", + "6 4\n", + "7 6\n", + "8 5\n", + "9 5\n", + "10 33\n", + "dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 9 + } + ] + }, + { + "metadata": { + "id": "47jErSU0dgcx", + "colab_type": "code", + "colab": {}, + "outputId": "9ec3ed4e-73d8-444a-ce0f-6392192443af" + }, + "cell_type": "code", + "source": [ + "plt.style.available" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['bmh',\n", + " 'classic',\n", + " 'dark_background',\n", + " 'fast',\n", + " 'fivethirtyeight',\n", + " 'ggplot',\n", + " 'grayscale',\n", + " 'seaborn-bright',\n", + " 'seaborn-colorblind',\n", + " 'seaborn-dark-palette',\n", + " 'seaborn-dark',\n", + " 'seaborn-darkgrid',\n", + " 'seaborn-deep',\n", + " 'seaborn-muted',\n", + " 'seaborn-notebook',\n", + " 'seaborn-paper',\n", + " 'seaborn-pastel',\n", + " 'seaborn-poster',\n", + " 'seaborn-talk',\n", + " 'seaborn-ticks',\n", + " 'seaborn-white',\n", + " 'seaborn-whitegrid',\n", + " 'seaborn',\n", + " 'Solarize_Light2',\n", + " 'tableau-colorblind10',\n", + " '_classic_test']" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 11 + } + ] + }, + { + "metadata": { + "id": "pP4rKR1Zdgc2", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "plt.style.use('fivethirtyeight')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "9f5VjXVHdgc6", + "colab_type": "code", + "colab": {}, + "outputId": "524aea97-e06b-475f-be22-a4b2d0c6997e" + }, + "cell_type": "code", + "source": [ + "# Can chose colors by color in index of bars in original plot\n", + "# color='C1' will turn all bars to color in bar 2\n", + "# Width 1 will make it bars to full thinckness like histogram\n", + "fake.plot.bar(color='#EC713B', width=0.9); " + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "BdK2RIdfdgc-", + "colab_type": "code", + "colab": {}, + "outputId": "ba02b2a4-41e7-449c-eeb5-8ae52a0d8e63" + }, + "cell_type": "code", + "source": [ + "# data to show in histogram or similar plot as above\n", + "fake2 = pd.Series([\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, \n", + " 2, 2, 2, \n", + " 3, 3, 3,\n", + " 4, 4, \n", + " 5, 5, 5,\n", + " 6, 6, 6, 6,\n", + " 7, 7, 7, 7, 7,\n", + " 8, 8, 8, 8,\n", + " 9, 9, 9, 9,\n", + " 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10])\n", + "\n", + "fake2.plot.hist();" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "Zl8ufvuLdgdP", + "colab_type": "code", + "colab": {}, + "outputId": "c954e699-56cd-4117-8041-68c32e852a93" + }, + "cell_type": "code", + "source": [ + "# Further customization first plot\n", + "# Object oriented interface (ax) - axis objects to stylize\n", + "ax = fake.plot.bar(color='#EC713B', width=0.9)\n", + "\n", + "# Accessing axis to make further customization\n", + "ax.tick_params(labelrotation=0)\n", + "\n", + "# Set variety of paramenters at once\n", + "ax.set(#title=\"'An Inconvenient Sequel: Truth to Power' is divisive\",\n", + " xlabel='Rating',\n", + " ylabel='Percent of total votes',\n", + " yticks=range(0,50,10)); # Since range is exclusive must go up to 50\n", + "\n", + "# Matplotlib does not support subtitles\n", + "# Can exclute title altogether and add arbitrary text\n", + "\n", + "ax.text(x=-2, y=46, s=\"'An Incovenient Sequel: Truth to Power' is divisive\",\n", + " fontsize=16, fontweight='bold')\n", + "# Subtitle\n", + "ax.text(x=-2, y= 43, s=\"IMDb ratings for the film as of Aug. 29\");" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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timestamprespondentscategorylinkaveragemeanmedian1_votes2_votes3_votes4_votes5_votes6_votes7_votes8_votes9_votes10_votes1_pct2_pct3_pct4_pct5_pct6_pct7_pct8_pct9_pct10_pct
02017-07-17 12:28:32.785639402Maleshttp://www.imdb.com/title/tt6322922/ratings-male4.65.02197773771182013549.01.71.70.71.71.72.72.05.033.6
12017-07-17 12:28:33.02560078Femaleshttp://www.imdb.com/title/tt6322922/ratings-fe...6.97.71016101103434920.51.30.01.31.30.03.85.13.862.8
22017-07-17 12:28:33.2739194Aged under 18http://www.imdb.com/title/tt6322922/ratings-age_14.24.23200010000150.00.00.00.025.00.00.00.00.025.0
32017-07-17 12:28:33.4953254Males under 18http://www.imdb.com/title/tt6322922/ratings-ma...4.24.23200010000150.00.00.00.025.00.00.00.00.025.0
42017-07-17 12:28:33.722849130Aged 18-29http://www.imdb.com/title/tt6322922/ratings-age_26.36.5941031236466431.50.02.30.81.52.34.63.14.649.2
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" + ], + "text/plain": [ + " timestamp respondents category \\\n", + "0 2017-07-17 12:28:32.785639 402 Males \n", + "1 2017-07-17 12:28:33.025600 78 Females \n", + "2 2017-07-17 12:28:33.273919 4 Aged under 18 \n", + "3 2017-07-17 12:28:33.495325 4 Males under 18 \n", + "4 2017-07-17 12:28:33.722849 130 Aged 18-29 \n", + "\n", + " link average mean median \\\n", + "0 http://www.imdb.com/title/tt6322922/ratings-male 4.6 5.0 2 \n", + "1 http://www.imdb.com/title/tt6322922/ratings-fe... 6.9 7.7 10 \n", + "2 http://www.imdb.com/title/tt6322922/ratings-age_1 4.2 4.2 3 \n", + "3 http://www.imdb.com/title/tt6322922/ratings-ma... 4.2 4.2 3 \n", + "4 http://www.imdb.com/title/tt6322922/ratings-age_2 6.3 6.5 9 \n", + "\n", + " 1_votes 2_votes 3_votes 4_votes 5_votes 6_votes 7_votes 8_votes \\\n", + "0 197 7 7 3 7 7 11 8 \n", + "1 16 1 0 1 1 0 3 4 \n", + "2 2 0 0 0 1 0 0 0 \n", + "3 2 0 0 0 1 0 0 0 \n", + "4 41 0 3 1 2 3 6 4 \n", + "\n", + " 9_votes 10_votes 1_pct 2_pct 3_pct 4_pct 5_pct 6_pct 7_pct 8_pct \\\n", + "0 20 135 49.0 1.7 1.7 0.7 1.7 1.7 2.7 2.0 \n", + "1 3 49 20.5 1.3 0.0 1.3 1.3 0.0 3.8 5.1 \n", + "2 0 1 50.0 0.0 0.0 0.0 25.0 0.0 0.0 0.0 \n", + "3 0 1 50.0 0.0 0.0 0.0 25.0 0.0 0.0 0.0 \n", + "4 6 64 31.5 0.0 2.3 0.8 1.5 2.3 4.6 3.1 \n", + "\n", + " 9_pct 10_pct \n", + "0 5.0 33.6 \n", + "1 3.8 62.8 \n", + "2 0.0 25.0 \n", + "3 0.0 25.0 \n", + "4 4.6 49.2 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 49 + } + ] + }, + { + "metadata": { + "id": "zKJ13Oxgdgdm", + "colab_type": "code", + "colab": {}, + "outputId": "41b5c0c0-071b-4ea9-9321-0692026574c8" + }, + "cell_type": "code", + "source": [ + "# transposing rows and columns to see vertically\n", + "df.sample(1).T" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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timestamp2017-07-25 03:00:04.685885
respondents137
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" + ], + "text/plain": [ + " 3456\n", + "timestamp 2017-07-25 03:00:04.685885\n", + "respondents 137\n", + "category Aged 45+\n", + "link http://www.imdb.com/title/tt6322922/ratings-age_4\n", + "average 3.9\n", + "mean 4.7\n", + "median 1\n", + "1_votes 73\n", + "2_votes 2\n", + "3_votes 2\n", + "4_votes 0\n", + "5_votes 0\n", + "6_votes 1\n", + "7_votes 4\n", + "8_votes 7\n", + "9_votes 6\n", + "10_votes 42\n", + "1_pct 53.3\n", + "2_pct 1.5\n", + "3_pct 1.5\n", + "4_pct 0\n", + "5_pct 0\n", + "6_pct 0.7\n", + "7_pct 2.9\n", + "8_pct 5.1\n", + "9_pct 4.4\n", + "10_pct 30.7" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 50 + } + ] + }, + { + "metadata": { + "id": "88Ctyo_Kdgdr", + "colab_type": "code", + "colab": {}, + "outputId": "edd471c7-7512-40c0-f944-08d178c74615" + }, + "cell_type": "code", + "source": [ + "# Understanding timestamp variable\n", + "# All are unique\n", + "\n", + "df.timestamp.describe()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "count 80053\n", + "unique 80053\n", + "top 2017-08-24 17:20:03.810987\n", + "freq 1\n", + "Name: timestamp, dtype: object" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 51 + } + ] + }, + { + "metadata": { + "id": "nb6MO87idgdx", + "colab_type": "code", + "colab": {}, + "outputId": "119f55df-0da7-4e4f-ed99-9c7759b8bd73" + }, + "cell_type": "code", + "source": [ + "# May not be properly treated as datetime in pandas\n", + "# It does not show first and last date\n", + "df.timestamp = pd.to_datetime(df.timestamp)\n", + "\n", + "# Now it does show from Jul 17 to Aug 29\n", + "df.timestamp.describe()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "count 80053\n", + "unique 80053\n", + "top 2017-07-24 23:00:02.760781\n", + "freq 1\n", + "first 2017-07-17 12:28:32.785639\n", + "last 2017-08-29 23:10:06.218251\n", + "Name: timestamp, dtype: object" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 52 + } + ] + }, + { + "metadata": { + "id": "wo0nQzqzdgd4", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# setting timestamp as index will make it easier to sort/select by date\n", + "df.set_index('timestamp', inplace=True)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "tbgw1aPcdgd6", + "colab_type": "code", + "colab": {}, + "outputId": "e3a35e0b-208b-4be4-8cae-e093349739d1" + }, + "cell_type": "code", + "source": [ + "# Over 2600 rows for last day -- so many rows for same day\n", + "df['2017-08-29']" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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respondentscategorylinkaveragemeanmedian1_votes2_votes3_votes4_votes5_votes6_votes7_votes8_votes9_votes10_votes1_pct2_pct3_pct4_pct5_pct6_pct7_pct8_pct9_pct10_pct
timestamp
2017-08-29 00:00:02.2488821682Maleshttp://www.imdb.com/title/tt6322922/ratings-male5.35.366715029124279107908351939.93.01.70.72.54.76.45.44.930.9
2017-08-29 00:00:02.499363257Femaleshttp://www.imdb.com/title/tt6322922/ratings-fe...6.97.310533444514132613120.61.21.61.61.61.95.45.110.151.0
2017-08-29 00:00:02.72720415Aged under 18http://www.imdb.com/title/tt6322922/ratings-age_14.55.35700010100646.70.00.00.06.70.06.70.00.040.0
2017-08-29 00:00:03.02427013Males under 18http://www.imdb.com/title/tt6322922/ratings-ma...5.35.97500010100638.50.00.00.07.70.07.70.00.046.2
2017-08-29 00:00:03.2482072Females under 18http://www.imdb.com/title/tt6322922/ratings-fe...1.01.012000000000100.00.00.00.00.00.00.00.00.00.0
2017-08-29 00:00:03.441529450Aged 18-29http://www.imdb.com/title/tt6322922/ratings-age_26.46.68117367172435282319026.00.71.31.63.85.37.86.25.142.2
2017-08-29 00:00:03.636825402Males Aged 18-29http://www.imdb.com/title/tt6322922/ratings-ma...6.36.58112346152033252116327.90.71.01.53.75.08.26.25.240.5
2017-08-29 00:00:03.83944641Females Aged 18-29http://www.imdb.com/title/tt6322922/ratings-fe...7.17.910402122232239.80.04.92.44.94.94.97.34.956.1
2017-08-29 00:00:04.030663771Aged 30-44http://www.imdb.com/title/tt6322922/ratings-age_35.65.6728721124213653384925037.22.71.60.52.74.76.94.96.432.4
2017-08-29 00:00:04.225962679Males Aged 30-44http://www.imdb.com/title/tt6322922/ratings-ma...5.55.3627020102203351343920039.82.91.50.32.94.97.55.05.729.5
2017-08-29 00:00:04.53931276Females Aged 30-44http://www.imdb.com/title/tt6322922/ratings-fe...7.58.01011022021294714.50.02.62.60.02.61.32.611.861.8
2017-08-29 00:00:04.776104539Aged 45+http://www.imdb.com/title/tt6322922/ratings-age_44.44.822452813381924323513245.55.22.40.61.53.54.55.96.524.5
2017-08-29 00:00:04.973766421Males Aged 45+http://www.imdb.com/title/tt6322922/ratings-ma...4.04.32209251336181625208649.65.93.10.71.44.33.85.94.820.4
2017-08-29 00:00:05.176998109Females Aged 45+http://www.imdb.com/title/tt6322922/ratings-fe...6.76.79313002086154428.42.80.00.01.80.07.35.513.840.4
2017-08-29 00:00:05.3665548IMDb staffhttp://www.imdb.com/title/tt6322922/ratings-im...8.47.28100001122112.50.00.00.00.012.512.525.025.012.5
2017-08-29 00:00:05.55659841Top 1000 votershttp://www.imdb.com/title/tt6322922/ratings-to...4.64.751142254511626.89.84.94.912.29.812.22.42.414.6
2017-08-29 00:00:05.767397922US usershttp://www.imdb.com/title/tt6322922/ratings-usa4.85.044053320893054465825943.93.62.20.91.03.35.95.06.328.1
2017-08-29 00:00:05.964362556Non-US usershttp://www.imdb.com/title/tt6322922/ratings-in...6.46.5712911108324450353520223.22.01.81.45.87.99.06.36.336.3
2017-08-29 00:00:06.2884862646IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710206739245510715214514489338.52.51.50.92.14.05.75.55.433.7
2017-08-29 00:10:02.4376551682Maleshttp://www.imdb.com/title/tt6322922/ratings-male5.35.366715029124279107908351939.93.01.70.72.54.76.45.44.930.9
2017-08-29 00:10:02.715850257Femaleshttp://www.imdb.com/title/tt6322922/ratings-fe...6.97.310533444514132613120.61.21.61.61.61.95.45.110.151.0
2017-08-29 00:10:02.97431715Aged under 18http://www.imdb.com/title/tt6322922/ratings-age_14.55.35700010100646.70.00.00.06.70.06.70.00.040.0
2017-08-29 00:10:03.24279613Males under 18http://www.imdb.com/title/tt6322922/ratings-ma...5.35.97500010100638.50.00.00.07.70.07.70.00.046.2
2017-08-29 00:10:03.4719742Females under 18http://www.imdb.com/title/tt6322922/ratings-fe...1.01.012000000000100.00.00.00.00.00.00.00.00.00.0
2017-08-29 00:10:03.701915450Aged 18-29http://www.imdb.com/title/tt6322922/ratings-age_26.46.68117367172435282319026.00.71.31.63.85.37.86.25.142.2
2017-08-29 00:10:03.922894402Males Aged 18-29http://www.imdb.com/title/tt6322922/ratings-ma...6.36.58112346152033252116327.90.71.01.53.75.08.26.25.240.5
2017-08-29 00:10:04.16858441Females Aged 18-29http://www.imdb.com/title/tt6322922/ratings-fe...7.17.910402122232239.80.04.92.44.94.94.97.34.956.1
2017-08-29 00:10:04.391835771Aged 30-44http://www.imdb.com/title/tt6322922/ratings-age_35.65.6728721124213653384925037.22.71.60.52.74.76.94.96.432.4
2017-08-29 00:10:04.630956679Males Aged 30-44http://www.imdb.com/title/tt6322922/ratings-ma...5.55.3627020102203351343920039.82.91.50.32.94.97.55.05.729.5
2017-08-29 00:10:04.81999176Females Aged 30-44http://www.imdb.com/title/tt6322922/ratings-fe...7.58.01011022021294714.50.02.62.60.02.61.32.611.861.8
.................................................................................
2017-08-29 23:00:03.683160775Aged 30-44http://www.imdb.com/title/tt6322922/ratings-age_35.75.6728721124213853395025037.02.71.50.52.74.96.85.06.532.3
2017-08-29 23:00:03.924760682Males Aged 30-44http://www.imdb.com/title/tt6322922/ratings-ma...5.55.3627020102203551353920039.62.91.50.32.95.17.55.15.729.3
2017-08-29 23:00:04.18903477Females Aged 30-44http://www.imdb.com/title/tt6322922/ratings-fe...7.68.110110220212104714.30.02.62.60.02.61.32.613.061.0
2017-08-29 23:00:04.381826544Aged 45+http://www.imdb.com/title/tt6322922/ratings-age_44.44.822462913381925323613345.25.32.40.61.53.54.65.96.624.4
2017-08-29 23:00:04.619175424Males Aged 45+http://www.imdb.com/title/tt6322922/ratings-ma...4.04.32209261336181725208749.36.13.10.71.44.24.05.94.720.5
2017-08-29 23:00:04.820031111Females Aged 45+http://www.imdb.com/title/tt6322922/ratings-fe...6.66.69323002086164428.82.70.00.01.80.07.25.414.439.6
2017-08-29 23:00:05.0288728IMDb staffhttp://www.imdb.com/title/tt6322922/ratings-im...8.47.28100001122112.50.00.00.00.012.512.525.025.012.5
2017-08-29 23:00:05.23167441Top 1000 votershttp://www.imdb.com/title/tt6322922/ratings-to...4.64.751142254511626.89.84.94.912.29.812.22.42.414.6
2017-08-29 23:00:05.442596925US usershttp://www.imdb.com/title/tt6322922/ratings-usa4.85.044053420893054466025943.83.72.20.91.03.25.85.06.528.0
2017-08-29 23:00:05.634805565Non-US usershttp://www.imdb.com/title/tt6322922/ratings-in...6.46.5712911108324752373520422.81.91.81.45.78.39.26.56.236.1
2017-08-29 23:00:05.8295582662IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015414714689738.42.61.40.92.14.15.85.55.533.7
2017-08-29 23:10:02.2077061693Maleshttp://www.imdb.com/title/tt6322922/ratings-male5.35.466715129134282109918352239.63.01.70.82.54.86.45.44.930.8
2017-08-29 23:10:02.398710261Femaleshttp://www.imdb.com/title/tt6322922/ratings-fe...7.07.310543444514142813120.71.11.51.51.51.95.45.410.750.2
2017-08-29 23:10:02.62201915Aged under 18http://www.imdb.com/title/tt6322922/ratings-age_14.55.35700010100646.70.00.00.06.70.06.70.00.040.0
2017-08-29 23:10:02.90885713Males under 18http://www.imdb.com/title/tt6322922/ratings-ma...5.35.97500010100638.50.00.00.07.70.07.70.00.046.2
2017-08-29 23:10:03.0886352Females under 18http://www.imdb.com/title/tt6322922/ratings-fe...1.01.012000000000100.00.00.00.00.00.00.00.00.00.0
2017-08-29 23:10:03.288272455Aged 18-29http://www.imdb.com/title/tt6322922/ratings-age_26.46.68117368172536292319125.70.71.31.83.75.57.96.45.142.0
2017-08-29 23:10:03.501039406Males Aged 18-29http://www.imdb.com/title/tt6322922/ratings-ma...6.36.58112347152134252116427.60.71.01.73.75.28.46.25.240.4
2017-08-29 23:10:03.72596042Females Aged 18-29http://www.imdb.com/title/tt6322922/ratings-fe...7.17.910402122242239.50.04.82.44.84.84.89.54.854.8
2017-08-29 23:10:03.942442775Aged 30-44http://www.imdb.com/title/tt6322922/ratings-age_35.75.6728721124213853395025037.02.71.50.52.74.96.85.06.532.3
2017-08-29 23:10:04.147698682Males Aged 30-44http://www.imdb.com/title/tt6322922/ratings-ma...5.55.3627020102203551353920039.62.91.50.32.95.17.55.15.729.3
2017-08-29 23:10:04.40675977Females Aged 30-44http://www.imdb.com/title/tt6322922/ratings-fe...7.68.110110220212104714.30.02.62.60.02.61.32.613.061.0
2017-08-29 23:10:04.603751544Aged 45+http://www.imdb.com/title/tt6322922/ratings-age_44.44.822462913381925323613345.25.32.40.61.53.54.65.96.624.4
2017-08-29 23:10:04.905270424Males Aged 45+http://www.imdb.com/title/tt6322922/ratings-ma...4.04.32209261336181725208749.36.13.10.71.44.24.05.94.720.5
2017-08-29 23:10:05.172451111Females Aged 45+http://www.imdb.com/title/tt6322922/ratings-fe...6.66.69323002086164428.82.70.00.01.80.07.25.414.439.6
2017-08-29 23:10:05.3695108IMDb staffhttp://www.imdb.com/title/tt6322922/ratings-im...8.47.28100001122112.50.00.00.00.012.512.525.025.012.5
2017-08-29 23:10:05.59833141Top 1000 votershttp://www.imdb.com/title/tt6322922/ratings-to...4.64.751142254511626.89.84.94.912.29.812.22.42.414.6
2017-08-29 23:10:05.794141925US usershttp://www.imdb.com/title/tt6322922/ratings-usa4.85.044053420893054466025943.83.72.20.91.03.25.85.06.528.0
2017-08-29 23:10:06.022268565Non-US usershttp://www.imdb.com/title/tt6322922/ratings-in...6.46.5712911108324752373520422.81.91.81.45.78.39.26.56.236.1
2017-08-29 23:10:06.2182512662IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015414714689738.42.61.40.92.14.15.85.55.533.7
\n", + "

2660 rows × 26 columns

\n", + "
" + ], + "text/plain": [ + " respondents category \\\n", + "timestamp \n", + "2017-08-29 00:00:02.248882 1682 Males \n", + "2017-08-29 00:00:02.499363 257 Females \n", + "2017-08-29 00:00:02.727204 15 Aged under 18 \n", + "2017-08-29 00:00:03.024270 13 Males under 18 \n", + "2017-08-29 00:00:03.248207 2 Females under 18 \n", + "2017-08-29 00:00:03.441529 450 Aged 18-29 \n", + "2017-08-29 00:00:03.636825 402 Males Aged 18-29 \n", + "2017-08-29 00:00:03.839446 41 Females Aged 18-29 \n", + "2017-08-29 00:00:04.030663 771 Aged 30-44 \n", + "2017-08-29 00:00:04.225962 679 Males Aged 30-44 \n", + "2017-08-29 00:00:04.539312 76 Females Aged 30-44 \n", + "2017-08-29 00:00:04.776104 539 Aged 45+ \n", + "2017-08-29 00:00:04.973766 421 Males Aged 45+ \n", + "2017-08-29 00:00:05.176998 109 Females Aged 45+ \n", + "2017-08-29 00:00:05.366554 8 IMDb staff \n", + "2017-08-29 00:00:05.556598 41 Top 1000 voters \n", + "2017-08-29 00:00:05.767397 922 US users \n", + "2017-08-29 00:00:05.964362 556 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00:00:04.539312 0.0 2.6 1.3 2.6 11.8 61.8 \n", + "2017-08-29 00:00:04.776104 1.5 3.5 4.5 5.9 6.5 24.5 \n", + "2017-08-29 00:00:04.973766 1.4 4.3 3.8 5.9 4.8 20.4 \n", + "2017-08-29 00:00:05.176998 1.8 0.0 7.3 5.5 13.8 40.4 \n", + "2017-08-29 00:00:05.366554 0.0 12.5 12.5 25.0 25.0 12.5 \n", + "2017-08-29 00:00:05.556598 12.2 9.8 12.2 2.4 2.4 14.6 \n", + "2017-08-29 00:00:05.767397 1.0 3.3 5.9 5.0 6.3 28.1 \n", + "2017-08-29 00:00:05.964362 5.8 7.9 9.0 6.3 6.3 36.3 \n", + "2017-08-29 00:00:06.288486 2.1 4.0 5.7 5.5 5.4 33.7 \n", + "2017-08-29 00:10:02.437655 2.5 4.7 6.4 5.4 4.9 30.9 \n", + "2017-08-29 00:10:02.715850 1.6 1.9 5.4 5.1 10.1 51.0 \n", + "2017-08-29 00:10:02.974317 6.7 0.0 6.7 0.0 0.0 40.0 \n", + "2017-08-29 00:10:03.242796 7.7 0.0 7.7 0.0 0.0 46.2 \n", + "2017-08-29 00:10:03.471974 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "2017-08-29 00:10:03.701915 3.8 5.3 7.8 6.2 5.1 42.2 \n", + "2017-08-29 00:10:03.922894 3.7 5.0 8.2 6.2 5.2 40.5 \n", + "2017-08-29 00:10:04.168584 4.9 4.9 4.9 7.3 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23:10:06.218251 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "\n", + "[2660 rows x 26 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 57 + } + ] + }, + { + "metadata": { + "id": "CDQFJmc8dgeA", + "colab_type": "code", + "colab": {}, + "outputId": "72b20f9b-ed2c-4d0e-b9a9-1efff8fcbfc9" + }, + "cell_type": "code", + "source": [ + "df.info()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "\n", + "DatetimeIndex: 80053 entries, 2017-07-17 12:28:32.785639 to 2017-08-29 23:10:06.218251\n", + "Data columns (total 26 columns):\n", + "respondents 80053 non-null int64\n", + "category 80053 non-null object\n", + "link 80053 non-null object\n", + "average 80053 non-null float64\n", + "mean 80053 non-null float64\n", + "median 80053 non-null int64\n", + "1_votes 80053 non-null int64\n", + "2_votes 80053 non-null int64\n", + "3_votes 80053 non-null int64\n", + "4_votes 80053 non-null int64\n", + "5_votes 80053 non-null int64\n", + "6_votes 80053 non-null int64\n", + "7_votes 80053 non-null int64\n", + "8_votes 80053 non-null int64\n", + "9_votes 80053 non-null int64\n", + "10_votes 80053 non-null int64\n", + "1_pct 80053 non-null float64\n", + "2_pct 80053 non-null float64\n", + "3_pct 80053 non-null float64\n", + "4_pct 80053 non-null float64\n", + "5_pct 80053 non-null float64\n", + "6_pct 80053 non-null float64\n", + "7_pct 80053 non-null float64\n", + "8_pct 80053 non-null float64\n", + "9_pct 80053 non-null float64\n", + "10_pct 80053 non-null float64\n", + "dtypes: float64(12), int64(12), object(2)\n", + "memory usage: 16.5+ MB\n" + ], + "name": "stdout" + } + ] + }, + { + "metadata": { + "id": "fL0E5Ri-dgeF", + "colab_type": "code", + "colab": {}, + "outputId": "9212be2b-56ee-4e51-e5ac-58fb943bed35" + }, + "cell_type": "code", + "source": [ + "df.category.value_counts()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "US users 4216\n", + "Aged 30-44 4216\n", + "Females Aged 30-44 4216\n", + "IMDb staff 4216\n", + "Females 4216\n", + "Top 1000 voters 4216\n", + "Males under 18 4216\n", + "Males 4216\n", + "Males Aged 30-44 4216\n", + "Non-US users 4216\n", + "Females Aged 45+ 4216\n", + "Males Aged 18-29 4216\n", + "Females Aged 18-29 4216\n", + "Males Aged 45+ 4216\n", + "IMDb users 4216\n", + "Aged 45+ 4216\n", + "Aged 18-29 4216\n", + "Aged under 18 4216\n", + "Females under 18 4165\n", + "Name: category, dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 59 + } + ] + }, + { + "metadata": { + "id": "UOQw93xNdgeI", + "colab_type": "code", + "colab": {}, + "outputId": "86ddfd88-04c5-42ec-eaf9-11f711709533" + }, + "cell_type": "code", + "source": [ + "# All links start with same code for same title\n", + "# So, indeed there's data for only this one movie\n", + "df.link.value_counts()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "http://www.imdb.com/title/tt6322922/ratings-male_age_3 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_3 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male_age_4 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-female 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-top_1000 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-international 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-female_age_3 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-imdb_staff 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-usa 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-female_age_2 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male_age_2 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-female_age_4 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_2 4216\n", + "http://www.imdb.com/title/tt6322922/ratings 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male_age_1 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_4 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_1 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-female_age_1 4165\n", + "Name: link, dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 60 + } + ] + }, + { + "metadata": { + "id": "VRbN3cLzdgeL", + "colab_type": "code", + "colab": {}, + "outputId": "27dc3915-4c03-4612-c53b-944218278743" + }, + "cell_type": "code", + "source": [ + "# Filtering data for only 'IMDb users'\n", + "# Notice that under 'link' variable all links are:\n", + "# http://www.imdb.com/title/tt6322922/ratings\n", + "# Which is what we want -- these kind of ratings\n", + "df[df.category=='IMDb users']" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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respondentscategorylinkaveragemeanmedian1_votes2_votes3_votes4_votes5_votes6_votes7_votes8_votes9_votes10_votes1_pct2_pct3_pct4_pct5_pct6_pct7_pct8_pct9_pct10_pct
timestamp
2017-07-17 12:28:36.697246678IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.45304148591018243025644.82.11.20.71.31.52.73.54.437.8
2017-07-17 12:34:21.250099678IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.45304148591018243025644.82.11.20.71.31.52.73.54.437.8
2017-07-17 13:00:06.506688678IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.45304148591018243025644.82.11.20.71.31.52.73.54.437.8
2017-07-17 14:00:06.727742679IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35305148591018243025644.92.11.20.71.31.52.73.54.437.7
2017-07-17 15:00:06.055125679IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35305148591018243025644.92.11.20.71.31.52.73.54.437.7
2017-07-17 16:00:06.023053679IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35305148591018243025644.92.11.20.71.31.52.73.54.437.7
2017-07-17 17:00:06.142993679IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35305148591018243025644.92.11.20.71.31.52.73.54.437.7
2017-07-17 18:00:06.510891680IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35306148591018243025645.02.11.20.71.31.52.63.54.437.6
2017-07-17 19:00:06.666467680IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35306148591018243025645.02.11.20.71.31.52.63.54.437.6
2017-07-17 20:00:05.841494681IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35307148591018243025645.12.11.20.71.31.52.63.54.437.6
2017-07-17 21:00:06.449770681IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35307148591018243025645.12.11.20.71.31.52.63.54.437.6
2017-07-17 22:00:06.123852682IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35307148591019243025645.02.11.20.71.31.52.83.54.437.5
2017-07-17 23:00:06.458620682IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35307148591019243025645.02.11.20.71.31.52.83.54.437.5
2017-07-18 00:00:06.001629682IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35307148591019243025645.02.11.20.71.31.52.83.54.437.5
2017-07-18 01:00:06.085490682IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35307148591019243025645.02.11.20.71.31.52.83.54.437.5
2017-07-18 02:00:05.876108685IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35309148591020243025645.12.01.20.71.31.52.93.54.437.4
2017-07-18 03:00:06.266496685IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35309148591020243025645.12.01.20.71.31.52.93.54.437.4
2017-07-18 04:00:05.839574686IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35310147591120243025645.22.01.00.71.31.62.93.54.437.3
2017-07-18 05:00:05.497594686IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35310147591120243025645.22.01.00.71.31.62.93.54.437.3
2017-07-18 06:00:06.040353686IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35310147591120243025645.22.01.00.71.31.62.93.54.437.3
2017-07-18 07:00:05.818742686IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35310147591120243025645.22.01.00.71.31.62.93.54.437.3
2017-07-18 08:00:05.724752690IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35310147691121243125744.92.01.00.91.31.63.03.54.537.2
2017-07-18 09:00:05.167180690IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.35310147691121243125744.92.01.00.91.31.63.03.54.537.2
2017-07-18 10:00:06.849305693IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.46310147691121243126044.72.01.00.91.31.63.03.54.537.5
2017-07-18 11:00:05.242209693IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.46310147691121243126044.72.01.00.91.31.63.03.54.537.5
2017-07-18 12:00:06.474276698IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.463121376101121253126244.71.91.00.91.41.63.03.64.437.5
2017-07-18 13:00:06.029593698IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.463121376101121253126244.71.91.00.91.41.63.03.64.437.5
2017-07-18 14:00:07.095179701IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.463121476101121253126444.52.01.00.91.41.63.03.64.437.7
2017-07-18 15:00:06.790957701IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.463121476101121253126444.52.01.00.91.41.63.03.64.437.7
2017-07-18 16:00:06.159608701IMDb usershttp://www.imdb.com/title/tt6322922/ratings4.95.463121476101121253126444.52.01.00.91.41.63.03.64.437.7
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2017-08-29 18:20:06.2154862654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 18:30:06.7386692654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 18:40:05.7711502654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 18:50:06.0513262654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 19:00:06.0025422654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 19:10:06.0668632654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 19:20:06.2868712654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 19:30:06.3950032654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 19:40:06.3728082654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 19:50:06.0307882654IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255510815214614489638.52.61.40.92.14.15.75.55.433.8
2017-08-29 20:00:06.2136172660IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015214714689738.42.61.40.92.14.15.75.55.533.7
2017-08-29 20:10:06.3531752660IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015214714689738.42.61.40.92.14.15.75.55.533.7
2017-08-29 20:20:06.6928482660IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015214714689738.42.61.40.92.14.15.75.55.533.7
2017-08-29 20:30:06.0474042660IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015214714689738.42.61.40.92.14.15.75.55.533.7
2017-08-29 20:40:06.3415992660IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015214714689738.42.61.40.92.14.15.75.55.533.7
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22:00:06.123852 5 9 10 19 24 \n", + "2017-07-17 23:00:06.458620 5 9 10 19 24 \n", + "2017-07-18 00:00:06.001629 5 9 10 19 24 \n", + "2017-07-18 01:00:06.085490 5 9 10 19 24 \n", + "2017-07-18 02:00:05.876108 5 9 10 20 24 \n", + "2017-07-18 03:00:06.266496 5 9 10 20 24 \n", + "2017-07-18 04:00:05.839574 5 9 11 20 24 \n", + "2017-07-18 05:00:05.497594 5 9 11 20 24 \n", + "2017-07-18 06:00:06.040353 5 9 11 20 24 \n", + "2017-07-18 07:00:05.818742 5 9 11 20 24 \n", + "2017-07-18 08:00:05.724752 6 9 11 21 24 \n", + "2017-07-18 09:00:05.167180 6 9 11 21 24 \n", + "2017-07-18 10:00:06.849305 6 9 11 21 24 \n", + "2017-07-18 11:00:05.242209 6 9 11 21 24 \n", + "2017-07-18 12:00:06.474276 6 10 11 21 25 \n", + "2017-07-18 13:00:06.029593 6 10 11 21 25 \n", + "2017-07-18 14:00:07.095179 6 10 11 21 25 \n", + "2017-07-18 15:00:06.790957 6 10 11 21 25 \n", + "2017-07-18 16:00:06.159608 6 10 11 21 25 \n", + "... ... ... ... ... ... \n", + "2017-08-29 18:20:06.215486 25 55 108 152 146 \n", + "2017-08-29 18:30:06.738669 25 55 108 152 146 \n", + "2017-08-29 18:40:05.771150 25 55 108 152 146 \n", + "2017-08-29 18:50:06.051326 25 55 108 152 146 \n", + "2017-08-29 19:00:06.002542 25 55 108 152 146 \n", + "2017-08-29 19:10:06.066863 25 55 108 152 146 \n", + "2017-08-29 19:20:06.286871 25 55 108 152 146 \n", + "2017-08-29 19:30:06.395003 25 55 108 152 146 \n", + "2017-08-29 19:40:06.372808 25 55 108 152 146 \n", + "2017-08-29 19:50:06.030788 25 55 108 152 146 \n", + "2017-08-29 20:00:06.213617 25 55 110 152 147 \n", + "2017-08-29 20:10:06.353175 25 55 110 152 147 \n", + "2017-08-29 20:20:06.692848 25 55 110 152 147 \n", + "2017-08-29 20:30:06.047404 25 55 110 152 147 \n", + "2017-08-29 20:40:06.341599 25 55 110 152 147 \n", + "2017-08-29 20:50:06.265539 25 55 110 152 147 \n", + "2017-08-29 21:00:07.056294 25 55 110 152 147 \n", + "2017-08-29 21:10:06.940833 25 55 110 152 147 \n", + "2017-08-29 21:20:06.241187 25 55 110 152 147 \n", + "2017-08-29 21:30:06.277390 25 55 110 152 147 \n", + "2017-08-29 21:40:06.384083 25 55 110 152 147 \n", + "2017-08-29 21:50:06.071510 25 55 110 154 147 \n", + "2017-08-29 22:00:06.565253 25 55 110 154 147 \n", + "2017-08-29 22:10:07.085246 25 55 110 154 147 \n", + "2017-08-29 22:20:06.947696 25 55 110 154 147 \n", + "2017-08-29 22:30:06.423181 25 55 110 154 147 \n", + "2017-08-29 22:40:06.233659 25 55 110 154 147 \n", + "2017-08-29 22:50:06.592571 25 55 110 154 147 \n", + "2017-08-29 23:00:05.829558 25 55 110 154 147 \n", + "2017-08-29 23:10:06.218251 25 55 110 154 147 \n", + "\n", + " 9_votes 10_votes 1_pct 2_pct 3_pct 4_pct \\\n", + "timestamp \n", + "2017-07-17 12:28:36.697246 30 256 44.8 2.1 1.2 0.7 \n", + "2017-07-17 12:34:21.250099 30 256 44.8 2.1 1.2 0.7 \n", + "2017-07-17 13:00:06.506688 30 256 44.8 2.1 1.2 0.7 \n", + "2017-07-17 14:00:06.727742 30 256 44.9 2.1 1.2 0.7 \n", + "2017-07-17 15:00:06.055125 30 256 44.9 2.1 1.2 0.7 \n", + "2017-07-17 16:00:06.023053 30 256 44.9 2.1 1.2 0.7 \n", + "2017-07-17 17:00:06.142993 30 256 44.9 2.1 1.2 0.7 \n", + "2017-07-17 18:00:06.510891 30 256 45.0 2.1 1.2 0.7 \n", + "2017-07-17 19:00:06.666467 30 256 45.0 2.1 1.2 0.7 \n", + "2017-07-17 20:00:05.841494 30 256 45.1 2.1 1.2 0.7 \n", + "2017-07-17 21:00:06.449770 30 256 45.1 2.1 1.2 0.7 \n", + "2017-07-17 22:00:06.123852 30 256 45.0 2.1 1.2 0.7 \n", + "2017-07-17 23:00:06.458620 30 256 45.0 2.1 1.2 0.7 \n", + "2017-07-18 00:00:06.001629 30 256 45.0 2.1 1.2 0.7 \n", + "2017-07-18 01:00:06.085490 30 256 45.0 2.1 1.2 0.7 \n", + "2017-07-18 02:00:05.876108 30 256 45.1 2.0 1.2 0.7 \n", + "2017-07-18 03:00:06.266496 30 256 45.1 2.0 1.2 0.7 \n", + "2017-07-18 04:00:05.839574 30 256 45.2 2.0 1.0 0.7 \n", + "2017-07-18 05:00:05.497594 30 256 45.2 2.0 1.0 0.7 \n", + "2017-07-18 06:00:06.040353 30 256 45.2 2.0 1.0 0.7 \n", + "2017-07-18 07:00:05.818742 30 256 45.2 2.0 1.0 0.7 \n", + "2017-07-18 08:00:05.724752 31 257 44.9 2.0 1.0 0.9 \n", + "2017-07-18 09:00:05.167180 31 257 44.9 2.0 1.0 0.9 \n", + "2017-07-18 10:00:06.849305 31 260 44.7 2.0 1.0 0.9 \n", + "2017-07-18 11:00:05.242209 31 260 44.7 2.0 1.0 0.9 \n", + "2017-07-18 12:00:06.474276 31 262 44.7 1.9 1.0 0.9 \n", + "2017-07-18 13:00:06.029593 31 262 44.7 1.9 1.0 0.9 \n", + "2017-07-18 14:00:07.095179 31 264 44.5 2.0 1.0 0.9 \n", + "2017-07-18 15:00:06.790957 31 264 44.5 2.0 1.0 0.9 \n", + "2017-07-18 16:00:06.159608 31 264 44.5 2.0 1.0 0.9 \n", + "... ... ... ... ... ... ... \n", + "2017-08-29 18:20:06.215486 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 18:30:06.738669 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 18:40:05.771150 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 18:50:06.051326 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 19:00:06.002542 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 19:10:06.066863 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 19:20:06.286871 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 19:30:06.395003 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 19:40:06.372808 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 19:50:06.030788 144 896 38.5 2.6 1.4 0.9 \n", + "2017-08-29 20:00:06.213617 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 20:10:06.353175 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 20:20:06.692848 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 20:30:06.047404 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 20:40:06.341599 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 20:50:06.265539 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 21:00:07.056294 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 21:10:06.940833 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 21:20:06.241187 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 21:30:06.277390 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 21:40:06.384083 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 21:50:06.071510 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 22:00:06.565253 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 22:10:07.085246 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 22:20:06.947696 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 22:30:06.423181 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 22:40:06.233659 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 22:50:06.592571 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 23:00:05.829558 146 897 38.4 2.6 1.4 0.9 \n", + "2017-08-29 23:10:06.218251 146 897 38.4 2.6 1.4 0.9 \n", + "\n", + " 5_pct 6_pct 7_pct 8_pct 9_pct 10_pct \n", + "timestamp \n", + "2017-07-17 12:28:36.697246 1.3 1.5 2.7 3.5 4.4 37.8 \n", + "2017-07-17 12:34:21.250099 1.3 1.5 2.7 3.5 4.4 37.8 \n", + "2017-07-17 13:00:06.506688 1.3 1.5 2.7 3.5 4.4 37.8 \n", + "2017-07-17 14:00:06.727742 1.3 1.5 2.7 3.5 4.4 37.7 \n", + "2017-07-17 15:00:06.055125 1.3 1.5 2.7 3.5 4.4 37.7 \n", + "2017-07-17 16:00:06.023053 1.3 1.5 2.7 3.5 4.4 37.7 \n", + "2017-07-17 17:00:06.142993 1.3 1.5 2.7 3.5 4.4 37.7 \n", + "2017-07-17 18:00:06.510891 1.3 1.5 2.6 3.5 4.4 37.6 \n", + "2017-07-17 19:00:06.666467 1.3 1.5 2.6 3.5 4.4 37.6 \n", + "2017-07-17 20:00:05.841494 1.3 1.5 2.6 3.5 4.4 37.6 \n", + "2017-07-17 21:00:06.449770 1.3 1.5 2.6 3.5 4.4 37.6 \n", + "2017-07-17 22:00:06.123852 1.3 1.5 2.8 3.5 4.4 37.5 \n", + "2017-07-17 23:00:06.458620 1.3 1.5 2.8 3.5 4.4 37.5 \n", + "2017-07-18 00:00:06.001629 1.3 1.5 2.8 3.5 4.4 37.5 \n", + "2017-07-18 01:00:06.085490 1.3 1.5 2.8 3.5 4.4 37.5 \n", + "2017-07-18 02:00:05.876108 1.3 1.5 2.9 3.5 4.4 37.4 \n", + "2017-07-18 03:00:06.266496 1.3 1.5 2.9 3.5 4.4 37.4 \n", + "2017-07-18 04:00:05.839574 1.3 1.6 2.9 3.5 4.4 37.3 \n", + "2017-07-18 05:00:05.497594 1.3 1.6 2.9 3.5 4.4 37.3 \n", + "2017-07-18 06:00:06.040353 1.3 1.6 2.9 3.5 4.4 37.3 \n", + "2017-07-18 07:00:05.818742 1.3 1.6 2.9 3.5 4.4 37.3 \n", + "2017-07-18 08:00:05.724752 1.3 1.6 3.0 3.5 4.5 37.2 \n", + "2017-07-18 09:00:05.167180 1.3 1.6 3.0 3.5 4.5 37.2 \n", + "2017-07-18 10:00:06.849305 1.3 1.6 3.0 3.5 4.5 37.5 \n", + "2017-07-18 11:00:05.242209 1.3 1.6 3.0 3.5 4.5 37.5 \n", + "2017-07-18 12:00:06.474276 1.4 1.6 3.0 3.6 4.4 37.5 \n", + "2017-07-18 13:00:06.029593 1.4 1.6 3.0 3.6 4.4 37.5 \n", + "2017-07-18 14:00:07.095179 1.4 1.6 3.0 3.6 4.4 37.7 \n", + "2017-07-18 15:00:06.790957 1.4 1.6 3.0 3.6 4.4 37.7 \n", + "2017-07-18 16:00:06.159608 1.4 1.6 3.0 3.6 4.4 37.7 \n", + "... ... ... ... ... ... ... \n", + "2017-08-29 18:20:06.215486 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 18:30:06.738669 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 18:40:05.771150 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 18:50:06.051326 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 19:00:06.002542 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 19:10:06.066863 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 19:20:06.286871 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 19:30:06.395003 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 19:40:06.372808 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 19:50:06.030788 2.1 4.1 5.7 5.5 5.4 33.8 \n", + "2017-08-29 20:00:06.213617 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 20:10:06.353175 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 20:20:06.692848 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 20:30:06.047404 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 20:40:06.341599 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 20:50:06.265539 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 21:00:07.056294 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 21:10:06.940833 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 21:20:06.241187 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 21:30:06.277390 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 21:40:06.384083 2.1 4.1 5.7 5.5 5.5 33.7 \n", + "2017-08-29 21:50:06.071510 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 22:00:06.565253 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 22:10:07.085246 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 22:20:06.947696 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 22:30:06.423181 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 22:40:06.233659 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 22:50:06.592571 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 23:00:05.829558 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "2017-08-29 23:10:06.218251 2.1 4.1 5.8 5.5 5.5 33.7 \n", + "\n", + "[4216 rows x 26 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 61 + } + ] + }, + { + "metadata": { + "id": "WhXDVKZCdgeS", + "colab_type": "code", + "colab": {}, + "outputId": "63a7ee77-112a-4f86-968a-64a661ae07c1" + }, + "cell_type": "code", + "source": [ + "# How respondants change overtime\n", + "# Are there new votes on every row per day\n", + "# Or do these repeat?\n", + "lastday = df['2017-08-29']\n", + "\n", + "# Number of respondents for IMDb users on last day\n", + "# Always ascending - monotonic increasing\n", + "# Votes represented in this set are commulative\n", + "# Meaning all votes for day are on last timestamp\n", + "lastday[lastday.category=='IMDb users'].respondents.plot();" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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respondentscategorylinkaveragemeanmedian1_votes2_votes3_votes4_votes5_votes6_votes7_votes8_votes9_votes10_votes1_pct2_pct3_pct4_pct5_pct6_pct7_pct8_pct9_pct10_pct
timestamp
2017-08-29 23:10:06.2182512662IMDb usershttp://www.imdb.com/title/tt6322922/ratings5.45.6710216938255511015414714689738.42.61.40.92.14.15.85.55.533.7
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" + ], + "text/plain": [ + " respondents category \\\n", + "timestamp \n", + "2017-08-29 23:10:06.218251 2662 IMDb users \n", + "\n", + " link \\\n", + "timestamp \n", + "2017-08-29 23:10:06.218251 http://www.imdb.com/title/tt6322922/ratings \n", + "\n", + " average mean median 1_votes 2_votes 3_votes \\\n", + "timestamp \n", + "2017-08-29 23:10:06.218251 5.4 5.6 7 1021 69 38 \n", + "\n", + " 4_votes 5_votes 6_votes 7_votes 8_votes \\\n", + "timestamp \n", + "2017-08-29 23:10:06.218251 25 55 110 154 147 \n", + "\n", + " 9_votes 10_votes 1_pct 2_pct 3_pct 4_pct \\\n", + "timestamp \n", + "2017-08-29 23:10:06.218251 146 897 38.4 2.6 1.4 0.9 \n", + "\n", + " 5_pct 6_pct 7_pct 8_pct 9_pct 10_pct \n", + "timestamp \n", + "2017-08-29 23:10:06.218251 2.1 4.1 5.8 5.5 5.5 33.7 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 65 + } + ] + }, + { + "metadata": { + "id": "xyQ5L6n9dgeY", + "colab_type": "code", + "colab": {}, + "outputId": "5bac0900-5b35-4133-ef90-f66638c9600c" + }, + "cell_type": "code", + "source": [ + "# We just want the percentage columns\n", + "# to redo columns could also do:\n", + "# columns = ['{}_pct'.format(k) for k in range(1,11)]\n", + "columns = ['1_pct', '2_pct', '3_pct', '4_pct', '5_pct', '6_pct', '7_pct', '8_pct', '9_pct', '10_pct']\n", + "data = final[columns].T\n", + "\n", + "data" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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timestamp2017-08-29 23:10:06.218251
1_pct38.4
2_pct2.6
3_pct1.4
4_pct0.9
5_pct2.1
6_pct4.1
7_pct5.8
8_pct5.5
9_pct5.5
10_pct33.7
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" + ], + "text/plain": [ + "timestamp 2017-08-29 23:10:06.218251\n", + "1_pct 38.4\n", + "2_pct 2.6\n", + "3_pct 1.4\n", + "4_pct 0.9\n", + "5_pct 2.1\n", + "6_pct 4.1\n", + "7_pct 5.8\n", + "8_pct 5.5\n", + "9_pct 5.5\n", + "10_pct 33.7" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 66 + } + ] + }, + { + "metadata": { + "id": "usw9eTwLdgea", + "colab_type": "code", + "colab": {}, + "outputId": "45d403e8-d439-4539-9ba3-ba632ac29c30" + }, + "cell_type": "code", + "source": [ + "# visualizing final data\n", + "data.plot.bar();" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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timestamp2017-08-29 23:10:06.218251
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" + ], + "text/plain": [ + "timestamp 2017-08-29 23:10:06.218251\n", + "1 38.4\n", + "2 2.6\n", + "3 1.4\n", + "4 0.9\n", + "5 2.1\n", + "6 4.1\n", + "7 5.8\n", + "8 5.5\n", + "9 5.5\n", + "10 33.7" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 70 + } + ] + }, + { + "metadata": { + "id": "YpwmVck8dgei", + "colab_type": "code", + "colab": {}, + "outputId": "0935d4cb-ddcd-4ee2-e52a-6c3ae845262d" + }, + "cell_type": "code", + "source": [ + "# Further customization first plot\n", + "# Object oriented interface (ax) - axis objects to stylize\n", + "ax = data.plot.bar(color='#EC713B', width=0.9,\n", + " legend=False)\n", + "\n", + "# Accessing axis to make further customization\n", + "ax.tick_params(labelrotation=0)\n", + "\n", + "# Set variety of paramenters at once\n", + "ax.set(#title=\"'An Inconvenient Sequel: Truth to Power' is divisive\",\n", + " xlabel='Rating',\n", + " ylabel='Percent of total votes',\n", + " yticks=range(0,50,10)); # Since range is exclusive must go up to 50\n", + "\n", + "# Matplotlib does not support subtitles\n", + "# Can exclute title altogether and add arbitrary text\n", + "\n", + "ax.text(x=-2, y=46, s=\"'An Incovenient Sequel: Truth to Power' is divisive\",\n", + " fontsize=16, fontweight='bold')\n", + "# Subtitle\n", + "ax.text(x=-2, y= 43, s=\"IMDb ratings for the film as of Aug. 29\");" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "scrolled": true, + "id": "Q-WP8O8Xdgep", + "colab_type": "code", + "colab": {}, + "outputId": "4f14ad4b-18b9-4c01-beaa-2927b791a79e" + }, + "cell_type": "code", + "source": [ + "# If we wanted to accentuate first and last columns only\n", + "# with a redish color\n", + "colors = ['#333333'] * 10\n", + "colors[0] = '#EC713B'\n", + "colors[-1] = '#EC713B'\n", + "\n", + "colors" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['#EC713B',\n", + " '#333333',\n", + " '#333333',\n", + " '#333333',\n", + " '#333333',\n", + " '#333333',\n", + " '#333333',\n", + " '#333333',\n", + " '#333333',\n", + " '#EC713B']" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 82 + } + ] + }, + { + "metadata": { + "id": "M0uqQ1q2dget", + "colab_type": "code", + "colab": {}, + "outputId": "263e4e10-0965-471e-a533-72869c75891d" + }, + "cell_type": "code", + "source": [ + "# Here we're changing bar colors to emphasize first & last bars\n", + "# Since 'data' above is a DataFrame size (10, 1) we must use a Series\n", + "# to pass in list of colors -- Note we use same DataFrame as a Series\n", + "fig, ax = plt.subplots(figsize=(8,5), facecolor='w')\n", + "ax = data['2017-08-29 23:10:06.218251'].plot.bar(color=colors, width=0.9,\n", + " legend=False)\n", + "\n", + "# Accessing axis to make further customization:\n", + "\n", + "# Set variety of paramenters at once\n", + "ax.set(facecolor='w') # Since range is exclusive must go up to 50\n", + "\n", + "# Matplotlib does not support subtitles\n", + "# Can exclute title altogether and add arbitrary text\n", + "\n", + "ax.text(x=-2.2, y=46, s=\"'An Incovenient Sequel: Truth to Power' is divisive\",\n", + " fontsize=18, fontweight='bold', family='sans-serif', color='#333333')\n", + "# Subtitle\n", + "ax.text(x=-2.2, y= 43, s=\"IMDb ratings for the film as of Aug. 29\",\n", + " fontsize=15, family='sans-serif', color='#333333');\n", + "\n", + "\n", + "# Rotating x-tick labels\n", + "#ax.tick_params(labelrotation=0, color='#A6A6A6')\n", + "plt.xticks(rotation=0, color='gray')\n", + "\n", + "ax.set_xlabel('\\nRating', weight='medium', fontsize=14.5)\n", + "ax.set_ylabel('Percent of total votes\\n', weight='medium', fontsize=14.5)\n", + "\n", + "# Changing y-tick labels numbers and color\n", + "ax.set_yticklabels(labels=['0 ','', '10 ','', '20 ','', '30 ','', '40%']\n", + " , color='gray');\n", + "\n", + "# Removing spines all around\n", + "for key,spine in ax.spines.items():\n", + " spine.set_visible(False);" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "5KADLJrndgev", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Another plot" + ] + }, + { + "metadata": { + "id": "Qp1EoWKLdgew", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "first_thru_last = ['2017-07-{}'.format(j) for j in range(17,32)] \\\n", + " + ['2017-08-0{}'.format(a) for a in range(1,10)] \\\n", + " + ['2017-08-{}'.format(a) for a in range(10,30)]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "WG5YMIAUdgez", + "colab_type": "code", + "colab": {}, + "outputId": "d95bc76b-3da3-4f38-a215-032ac79e34d0" + }, + "cell_type": "code", + "source": [ + "first_thru_last" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['2017-07-17',\n", + " '2017-07-18',\n", + " '2017-07-19',\n", + " '2017-07-20',\n", + " '2017-07-21',\n", + " '2017-07-22',\n", + " '2017-07-23',\n", + " '2017-07-24',\n", + " '2017-07-25',\n", + " '2017-07-26',\n", + " '2017-07-27',\n", + " '2017-07-28',\n", + " '2017-07-29',\n", + " '2017-07-30',\n", + " '2017-07-31',\n", + " '2017-08-01',\n", + " '2017-08-02',\n", + " '2017-08-03',\n", + " '2017-08-04',\n", + " '2017-08-05',\n", + " '2017-08-06',\n", + " '2017-08-07',\n", + " '2017-08-08',\n", + " '2017-08-09',\n", + " '2017-08-10',\n", + " '2017-08-11',\n", + " '2017-08-12',\n", + " '2017-08-13',\n", + " '2017-08-14',\n", + " '2017-08-15',\n", + " '2017-08-16',\n", + " '2017-08-17',\n", + " '2017-08-18',\n", + " '2017-08-19',\n", + " '2017-08-20',\n", + " '2017-08-21',\n", + " '2017-08-22',\n", + " '2017-08-23',\n", + " '2017-08-24',\n", + " '2017-08-25',\n", + " '2017-08-26',\n", + " '2017-08-27',\n", + " '2017-08-28',\n", + " '2017-08-29']" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 286 + } + ] + }, + { + "metadata": { + "id": "S3q1Sccsdge3", + "colab_type": "code", + "colab": {}, + "outputId": "d512952c-9deb-4414-c427-164ef1dca590" + }, + "cell_type": "code", + "source": [ + "len(first_thru_last)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "44" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 265 + } + ] + }, + { + "metadata": { + "id": "IfNSe_kddge_", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "respondent_lst = []\n", + "for day in first_thru_last:\n", + " response = (df[day][df[day].category=='IMDb users'].respondents.tail(1)[0]/2662)*100\n", + " respondent_lst.append(response)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "akde30w5dgfD", + "colab_type": "code", + "colab": {}, + "outputId": "c559e6b9-5899-4c47-9d2c-bf01651b5d78" + }, + "cell_type": "code", + "source": [ + "len(respondent_lst)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "44" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 311 + } + ] + }, + { + "metadata": { + "id": "q8yZdFa7dgfH", + "colab_type": "code", + "colab": {}, + "outputId": "d3b3bd88-2120-405b-ca33-e3e6f2f21a4e" + }, + "cell_type": "code", + "source": [ + "# Setting edges, labels, and around plot color\n", + "with plt.rc_context({'axes.edgecolor':'gray', 'xtick.color':'gray', 'ytick.color':'gray', 'figure.facecolor':'white'}):\n", + " fig, ax1 = plt.subplots(figsize=(9,6))\n", + " \n", + " # Plotting based all dates except those after Aug. 27 (exclude last 2 dates)\n", + " ax1 = sns.lineplot(x=first_thru_last[:-2], y=respondent_lst[:-2], color='turquoise')\n", + " \n", + " # Setting y-labels to only these\n", + " ax1.set_yticks([0, 20, 40, 60, 80, 100])\n", + " \n", + " # Setting y axis past 0 & above 100 -- grid line will pass 0 & 100 marker\n", + " plt.ylim(-10,105)\n", + " \n", + " # Setting x-labels based on x-axis values (first_thru_last)\n", + " # Then changing label names\n", + " ax1.set_xticks(['2017-07-23', '2017-07-30', '2017-08-06', '2017-08-13', '2017-08-20', '2017-08-27'])\n", + " ax1.set_xticklabels(['July 23, 2017', 'July 30', 'Aug. 6', 'Aug. 13', 'Aug. 20', 'Aug. 27'])\n", + " \n", + " # White background color\n", + " ax1.set_facecolor('white')\n", + " \n", + " # Removing spine lines all around plot\n", + " for key,spine in ax1.spines.items():\n", + " spine.set_visible(False);" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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Rt2XwYDU/ktSn/QmVtjfrXTWP6nkmYttmE+2bOdlo28vzzeXSEsJWrlypSCSip556SmazWclkUrfffruWLVsmSfL7+y514fV6+93P4/HI5/MNeLyqqipVVVWlozSkSX19/ZBvJowObZtZE7F9j0eCeqrrrI5d4RqPtTanniit0kKnd9D9wzUR2zabaN/MyZe2TUsIe/fdd3X06FE9+OCDqqioUGtrq7Zs2aLi4mItXrw4HU8BABhCwjD0055z2tRzbtAFJ4rMFj1WPEXrGHYE8kJaQtjrr7+uW265RfPmzZMkTZo0ST09Pdq9e7cWL16c6gHz+/0qKipK3S8QCAzoHQMAjNz5eEzf7mjU4UF6vyySHiio0MPFk+Q1W7JfHIBBpWVifiwWSy1FcZHJZJJh9H0XKy4ultfrVUNDQ2p/PB5XY2Ojqqur01ECAExYB0I+fbXlxKABbIWrQD+eOltfL51KAAPyTFp6wmbNmqXdu3eruLhYlZWVamlp0VtvvaX58+dL6gtky5cv165du1ReXq6ysjLt3LlTdrtddXV16SgBACacqw0/lpit+l/Lp2mFqzAntQEYWlpC2Nq1a/WHP/xBmzdvTg0xLl68OLVGmNQ3eT8ej2vz5s0KhUKqrq7Wxo0bWSMMAEbhasOPi51e/XX5dSq12HJQGYDhSksIczgcuueee3TPPfdc8RiTyaTVq1dr9erV6XhKAJiwDoR8+r87Tqsr2f+SQyZJXy6apC8VTWLiPTAGcO1IABgjhhp+/D/Kr9NiV0FOagMwcoQwABgDGH4Exh9CGADkOYYfgfGJEAYAeSKSTOpsPKKmeFRNsYia4hE1xSI6Fgkw/AiMQ4QwAMiihGHo7IWQ1RyP6MyFn02xiNoSsUFXur8cw4/A+EAIA4AsSBiGXvKf1896zqkzER/6DoNg+BEYXwhhAJBhb4d69f2us2qMRUb9GFVWu/5naTXDj8A4QggDgAz5OBrWD7rO6u2wb1jHmyRNsthVbbOryupQte3CP6tDU612men9AsYVQhgApFlPIq7/6m7V7/znlRxkv9Nk1my7KxWwUkHLZpfdlJZL+gIYAwhhAJAmMSOp533n9dPuVgWMgfHLJOluT4keK56iciuT6oGJjhAGANfIMAztCfXq/+s6q+Z4dNBjFjg8+nrJVM1yuLNcHYB8RQgDgGtwMhrSU53Ng65kL0lTrXY9XjJFt7uKZGJOF4BLEMIAYBR6E3H9qLtFr/g7B13by2Mya2PRJG0oLGeeF4BBEcIAYAQMw9DvA936ftdZdScHrvdllnSvt0yPFk9WsYWPWABXxicEAAzTmVhE3+1s0sGwf9D9S51efb2kStfbnVmuDMBYRAgDgCFEjaR+0dOmn/e0abALC02zOvT10qla7ixg3heAYSOEAcBVHA779S/nm3QmPnC1e5tM+lLRJH2+qIJ5XwBGjBAGAIPoTsT1g66z2hroGnT/EqdXf1FarWqbI8uVARgvCGEAcImkYehVf6d+2N2i3mRiwP4Ss1V/XjJVd3qKGXoEcE0IYQBwwcfRsP61s0lHr7Dm173eUn2teIoKOOsRQBrwSQIAkl73d+kfz59RfJCJ99fbnPpfSqtV5/TkoDIA4xUhDMCEt9Xfqf/n/JkB8cthMunLRZP1J4UVsjL0CCDNCGEAJrTX/J36h0EC2HJXgb5ZUqUpTLwHkCGEMAAT1hZ/p/7xsgBmlvRXZdN0t6eEifcAMooQBmBCulIA+z/La7TaU5yrsgBMIIQwABPOq/5O/dMgAexvymu0igAGIEsIYQAmlMECmEV9PWAEMADZRAgDMGFs9p/XP59vGhDA/qaiRp9wE8AAZBchDMCEcKUA9mTFdN3uLspVWQAmMEIYgHHvFd95/XNnU79tBDAAuUYIAzCu7XOa9GsCGIA8RAgDMG697DuvXxf0/5izSPrbium6jQAGIMcIYQDGnYRh6De+Dv2g62y/7VaZ9GRFDQEMQF4ghAEYNwzD0L6wT093tejjWLjfPqtM+tuKGq0kgAHIE4QwAOPC8UhQT3e16FDEP2CfVSZ9q6JGtxLAAOQRQhiAMa01HtV/dLXojWD3oPtthqG/rZxOAAOQdwhhAMYkXyKun/e26be9HYr1W/2rj0nSGk+Jlp5u063TCWAA8g8hDMCYEjWSesHXoZ/1tMmXTAx6zBKnV4+XTNENdrfqP27LcoUAMDyEMABjQtIw9Idgt/6jq1Wtieigx8ywOfV4yRTd7CrMcnUAMHKEMAB571jYr6e6zup4NDTo/nKLTY8VT9YaT4ksJlOWqwOA0SGEAchb5+JRPd3Voj9cYdK9x2TWQ0WVerCgQg6zOcvVAcC1IYQByDuhZEK/7G3XL3vbFDUGTrq3SLq/oFwbiyap2MLHGICxiU8vAHnDMAy9EezW010t6kjEBj1mlbtIXy2eoiqbI8vVAUB6EcIA5IUPIkH9e1ez3o0EB91/g92lJ0qmar7Tm+XKACAzCGEAcup8PKYfdbfotUDXoPtLzFb9aclk3e0pZdI9gHGFEAYgJ6JGUs/1tuvnPW0KGckB+60y6bOF5fpS0SR5zJYcVAgAmUUIA5B1+0M+/Wtnk1rig6/3tdJVqD8vmcq8LwDjGiEMQFbtCfbob9o/1sC+L2m6zaknSqZqiasg63UBQLYRwgBkzeGwX99qbxwQwArNFj1aPFmf8ZYx7wvAhEEIA5AVxyNB/XXbqX4X2zZJWl9QrkeKJqmQ9b4ATDBp+9Tz+Xx644039OGHHyoSiaikpESf/vSnNX36dEl96//s2LFDBw4cUDgcVlVVldatW6fKysp0lQAgT52OhfW/tTUoeNkE/P9ZWq17C8pyVBUA5FZaQlg4HNaPf/xjXXfddXrooYfkdrvV1dUlj8eTOmbPnj3au3ev7r//fpWXl2vHjh3atGmTnnjiCTkcTL4Fxqu2eFR/da5BPclEv+1fK55CAAMwoaXlYmt79uxRQUGBNmzYoKqqKpWUlGjGjBmqqKiQ1NcLtm/fPq1cuVJz5sxRZWWl1q9fr2g0qmPHjqWjBAB5qDsR11+ea1DbZavff76wQl8oohccwMRmMoxBLsw2Qk899ZRmzpwpn8+nU6dOqaCgQIsXL9ayZctkMpnU1dWlf/u3f9Of/umfqqqqKnW/Z599Vm63W+vXr+/3eM3NzWppabnWsgDkUNgkPV1kUZOt/3e9m0NJfdafENPvAYx3S5cuver+tAxHdnV1af/+/VqxYoW+9KUvqbW1Va+++qok6eabb5bf75ckeb39Lzfi8Xjk8/kGPF5VVVW/sIbcq6+vH/LNhNEZj20bNZL638+dUlPE32/7J9xF+pvrarJ6BuR4bN98QdtmFu2bOfnStmkJYYZhaOrUqbrzzjslSVOmTFFnZ6f279+vm2++OR1PAWCMSBiG/q/2Rh26LIAtcXr11+XXsQQFAFyQljlhBQUFqflfF5WXl6unp0fSH3vALvaIXRQIBAb0jgEYu5KGoX86f0Z7Qr39tt9kd+vvKqbLbkrLRw4AjAtp+UScNm2azp8/32/b+fPnVVRUJEkqLi6W1+tVQ0NDan88HldjY6Oqq6vTUQKAHDMMQz/oOjvgQtw1Nof+vvJ6ubj+IwD0k5YQtmLFCjU1NWnnzp3q7OzUu+++q7ffflvLli2TJJlMJi1fvly7d+/W+++/r7a2Nr3wwguy2+2qq6tLRwkAcuznvW36ta+j37bJFrv+qbJWRSzECgADpOWTsaqqSp/73Oe0bds27dy5U0VFRfrkJz+ZCmGStHLlSsXjcW3evFmhUEjV1dXauHEja4QB48CLvg79Z3drv20lZqv+adIMVVhtOaoKAPJb2r6ezpo1S7NmzbrifpPJpNWrV2v16tXpekoAeWBfqFf/b2dzv20ek1n/OGmGqm18yQKAK2GWLIBr8p/drbp0sUGHyaS/r7xeM+2unNUEAGMBIQzAqLXGo/owGkrdNkn624rpqnNy1jMADIUQBmDUdgd7+t2e5/BohaswR9UAwNhCCAMwapeHsNvcRTmqBADGHkIYgFHpTsR1LBLot+02esEAYNgIYQBG5c1Qj5KX3J5hc2oqZ0MCwLARwgCMyp5g/0sT3c5QJACMCCEMwIiFkgntD/n6bWM+GACMDCEMwIi9HfIpdsnqYJMtdtXanDmsCADGHkIYgBHbNeCsyEKZTKYcVQMAYxMhDMCIxIyk3goxHwwArhUhDMCIHA4HFDD+eF5ksdmquQ5PDisCgLGJEAZgRC5foPVWd6EsDEUCwIgRwgAMW9IwtCd02XwwF0ORADAahDAAw/ZBNKjziXjqtstk1hIXF+sGgNEghAEYtsvPirzZVSC7iY8RABgNPj0BDIthGAPmg3FWJACMHiEMwLA0xiJqikdTt60yaTkX7AaAUSOEARiW3ZdNyF/k9MprtuSoGgAY+whhAIbl8qFIrhUJANeGEAZgSG3xqI5HQ6nbJkkrGYoEgGtCCAMwpMt7weY43Cqz2nJUDQCMD4QwAEPafdm1IlmgFQCuHSEMwFX1JOI6Evb328Z8MAC4doQwAFe1N9Sr5CW3p9ucqrY5clYPAIwXhDAAV7VnwAKtTMgHgHQghAG4onAyqf1hX79tK5kPBgBpQQgDcEX7wz5FDCN1e5LFpll2Vw4rAoDxgxAG4IouX5pipbtIJpMpR9UAwPhCCAMwqLhhaO/lS1NwViQApA0hDMCgjoT98iUTqduFZovmOzw5rAgAxhdCGIBBXX7B7ltdhbIwFAkAaUMIAzCAYRjaHew/FLmSoUgASCtCGIABjkdD6kjEUredJrOWOQtyWBEAjD+EMAAD7LrsrMhlrgI5zHxcAEA68akKYIA9l80Hu83FKvkAkG6EMAD9nI6F1RiLpG5bJN1CCAOAtCOEAejn8gVaFzq9KrBYc1QNAIxfhDAAKQnDGDAfjLMiASAz+HoLTHCGYeiDaEjbAl36Q7Bb5xPxfvtv44LdAJARhDBggjoVDWtboEvbgt06G48OesyNdrcqrLYsVwYAEwMhDJhAWmIRbQt2a1ugWw2x8JDH/4/CiixUBQATEyEMGMcMw1BbIqbdwR5tC3TrvWhwyPu4TGbd5i7SZ7ylqnN6s1AlAExMhDBgHOmIx3Q8GtSJaKjvZySkrmR8yPvZZNIKV6E+5SnWClehnCzMCgAZRwgDxqjz8dgfw9aFn52JoQPXRWZJi51e3eEp0W3uInnNlswVCwAYgBAGjBHNsYjeCvXqYNivE9GgOkYQuC41z+HWpzwlWu0uUomFSfcAkCuEMCBPxYykjoUDeivk01uhXp2JR4a+0yAcJpNm2l1a6SrSJz3Fmmy1p7lSAMBoEMKAPNKZiGnfhdBVH/IpaCRHdH+7yaSZNpdmOVyabXdrlt2lGptTFpMpQxUDAEaLEAbkUNIwdMZq0jvdrXor1Kvj0dCw72uTSbV2l2bZXZp9IXTV2JyyErgAYEzISAjbtWuXtm3bpmXLlmndunWS+k6V37Fjhw4cOKBwOKyqqiqtW7dOlZWVmSgByGuhZEIv+zv1XG+72kusUs+5Ie9jkVTn8GiFq1CLXV5db3MRuABgDEt7CGtqatLBgwc1adKkftv37NmjvXv36v7771d5ebl27NihTZs26YknnpDD4Uh3GUBe6k3E9byvQ7/1dag3mRjy+BKzVctdBVruKtRSVwFnMALAOJLWEBYOh/Xb3/5W9913n3bs2JHabhiG9u3bp5UrV2rOnDmSpPXr1+uf//mfdezYMS1dujSdZQB553w8pud87XrJd16hIeZ5zba7tMJVqBWuQs2yu2SmtwsAxqW0hrCXX35ZN910k66//vp+Iay7u1t+v1+1tbWpbTabTTU1NWpqaiKEYdxqiUX0y952vervVEzGoMfYDEO3Xlgk9WZXgUpZNgIAJoS0hbADBw6os7NTGzZsGLDP7/dLkrze/pdA8Xg88vl8A45vbm5WS0tLukpDmtTX1+e6hDGj1SL9wW3RYYdJySv0ZDmThlaGkrotlJS3o0NShxokNWS10omB927m0LaZRftmTjbadqhOprSEsI6ODm3btk2PPvqoLJZrn7NSVVWlqqqqNFSGdKmvr6fHchjejwT1855z2hPqveIxJWar/qSBYe1RAAAdbElEQVSwQvcVlMljttC2GUb7Zg5tm1m0b+bkS9umJYQ1NTUpGAzq+9//fmqbYRhqbGxUfX29vv71r0vq6xErKipKHRMIBAb0jgFjjWEYejvs06962nUo4r/icZMsNn2+qFJrPaVycG1GAJjw0hLCbrzxRk2dOrXfthdffFGlpaW6/fbbVVZWJq/Xq4aGhlQPVzweV2Njo9asWZOOEoCsixlJvRHo1n/3tutULHzF42psDj1UWKlPeUpYUgIAkJKWEOZ0OuV0Ovtts9lscrlcqXXAli9frl27dqm8vFxlZWXauXOn7Ha76urq0lECkDX+ZEIv+87rN74OdSRiVzxutt2lLxZN0kpXIWc4AgAGyNqK+StXrlQ8HtfmzZsVCoVUXV2tjRs3skYYxoz2eFS/8XXod77zV72c0CKHVw8VVWqJ0ysT4QsAcAUZC2GPPPJIv9smk0mrV6/W6tWrM/WUQEY0REP6VW+73gh06UrLq5olrXIX63OFFZrtcGezPADAGMW1I4FBGIahQ2G/ftXbrrfDA5dRuchpMmutt1R/UlCuKTZ6dQEAw0cIAy4RTCb0eqBLz/s61BiLXPG4YrNVGwrKdX9BmYos/G8EABg5/noAkk7HwnrBd16v+TuvOt+r2mrXnxRW6m5PCctMAACuCSEME1bCMLQ31KsXfR2qD195fS9Jmutw63OFlbrVVSgLk+0BAGlACMOE05OIa7O/Uy/6OnTuKktMmCXd7i7SgwUVqnN6slcgAGBCIIRhwjgeCep5X4e2BbqveDFtqe+yQvcWlOkz3lJVWO1ZrBAAMJEQwjCu+RJx/T7YrVf9nfowGrrqsXMdbq0vKNcn3EWym5jvBQDILEIYxp3kheUlNvs7tSvYc9VeL7vJpDvcJVpfUKZZrO8FAMgiQhjGjdZ4VK/5O/Wqv/Oqc70kaYrVrvu9ZbrHW8oSEwCAnOCvD8a0qJHU7mCPXvV36kDYf5U+L8kkaZmzQOsLynWzq4CzHAEAOUUIw5iTNAydiIa0NdCp3we65Ute6WJCfaZY7VrrKdXd3hJVMtEeAJAnCGEYE3oScdWHfdoX8qk+5FNXMn7V4+0mk1a5i7XWW6oFDo/M9HoBAPIMIQx5KWEYOh4N6u2QT2+HfPogGrzqUONFN9pdWust1ac8JfKaLRmvEwCA0SKEIW90JmKqD13o7Qr71DvEMONFhWaL7vKUaK23VDPsrgxXCQBAehDCkFPt8ah+H+jW9mC3Tgyxjtel3CazljgLdIenWLe6C2VjXS8AwBhDCEPWhZIJ7Qz2aGugS4eGOKPxUrU2p5a7CrXMVaB5Do+szPMCAIxhhDBkReLCAqpbA13aFexR2EgOeR+v2aIlTm9f8HIWqNxqy0KlAABkByEMGdUQDWlroEtvBLrUkbj6GY2SNMvu0nJXgZY5CzXH4WYtLwDAuEUIQ9p1xGP6Q7BbW/2dOhkLD3n8LLtLd3lK9ElPsUot9HYBACYGQhiuWU8iriMRvw6F+/41xiJD3qfCYtMaT4nWeEo03e7MQpUAAOQXQhhGLJBM6Gg4oINhnw6H/fooFh7W5HqnyaxV7iKt8ZRoodPLUCMAYEIjhGFIoWRCx20mHepq0cGwXyeiQQ09rb6PWdJip1d3eUp1m7tQLhZQBQBAEiEMg0gahj6MhlQf7rtE0DuRoOLFVqm3bVj3N6tvntdqd7Hu8JRwViMAAIMghEGS1B6P6UDYp/0hnw6EfeoZ5mr1F9XanFrk9GqR06v5Ti+XDAIAYAiEsAkqkkzqSMSv+pBf+8M+fTyMsxgvVWNzaJHTq4UOrxY6vSqy8FYCAGAk+Ms5TkWNpHoScXUl4upOxtWTSKg7GVd3Iq4T0aCOhAOKDXuteqk0YeiWorJU8CpjiBEAgGtCCBtjEoah9kRMzbGIzsajao1H1ZmIqSeZUHcirp4LQSs4jBXpr8ZjMmuxq0BLnQVa6vTq7JFjWjpjWpp+CwAAQAjLQ5FkUmfjUZ2NR/74M9b3szUeU3wEPVjDZZZ0k8N9IXQV6KbLVqs/m/ZnBABgYiOE5UAomVBrPKa2RFTn4lGdi8d0Lh5VWyKmlnhUHYlYVuqYZLFp2YXersVOrwqY1wUAQNbwVzcDQsmEmuIRNccuhKxE/6DlG+GZh6NhkVRksarYbE39LLZYVGS2qtxi03ynV9VWu0wsmAoAQE4QwkYpaiTVHIuqOR7RmVhEzfGImmIRNcUjOj+MC1Vfi2KzVVOtdk212TXV6lC5xaZii1XFZouKLFaVmK3ymi0ELAAA8hghbBha41HVh3w6GQ2lQldbYiTnFo6MWX3XVpxqc2iq1a4q64WfNoemWO3ysAYXAABjHiFsEKFkQofC/gsrxvt1Jj70BalHwiqTKq02TbLYVWm1qdJq1ySLTZOsdk2y2jXZapPNZE7rcwIAgPxCCNMfL9Oz/8Jlet6NBK/pDESzpClWu6qtDk212VV5IWxNtvb9d6nFKjNDhQAATGgTNoS1x2OpayPWh33qHeFkeZOkSotNVTaHqq0OVV/yc4rVLishCwAAXMWEDWHf7WzSm6HeYR1rkTTX4dESZ4GutztVbe2bEO8wM2QIAABGZ8KGsGWugquGsGlWh5a6vFrqLNBCp1duJsMDAIA0mrghzFnQ77bXbNFiZ1/oWuYq0GSrPUeVAQCAiWDChrCpVrtWuYt0vc2pZa4Czbb3v0wPAABAJk3YEGYymfS3FdNzXQYAAJigmFkOAACQA4QwAACAHCCEAQAA5AAhDAAAIAcIYQAAADlACAMAAMgBQhgAAEAOEMIAAABygBAGAACQA4QwAACAHEjLZYt27dqlDz74QB0dHbJaraqurtYdd9yhysrK1DGGYWjHjh06cOCAwuGwqqqqtG7dun7HAAAATBRp6QlrbGzU0qVL9dhjj+nhhx+W2WzWT3/6U4VCodQxe/bs0d69e7V27Vp99atflcfj0aZNmxSJRNJRAgAAwJiSlhD2pS99SYsWLVJlZaUmTZqkDRs2KBgM6vTp05L6esH27dunlStXas6cOaqsrNT69esVjUZ17NixdJQAAAAwpmRkTlgkEpFhGHK5XJKk7u5u+f1+1dbWpo6x2WyqqalRU1NTJkoAAADIa2mZE3a5LVu2aPLkyaqurpYk+f1+SZLX6+13nMfjkc/nG3D/5uZmtbS0ZKI0XIP6+vpclzBu0baZRftmDm2bWbRv5mSjbZcuXXrV/WkPYa+99ppOnz6tr3zlKzKbR9fRVlVVpaqqqjRXhmtRX18/5JsJo0PbZhbtmzm0bWbRvpmTL22b1uHILVu26J133tGXv/xllZSUpLZf7AG72CN2USAQGNA7BgAAMBGkLYS9+uqreuedd/Twww+rvLy8377i4mJ5vV41NDSktsXjcTU2NqaGLAEAACaStAxHvvLKKzp69Kg+//nPy+VypXq87Ha77Ha7TCaTli9frl27dqm8vFxlZWXauXOn7Ha76urq0lECAADAmJKWEHZxcttPf/rTfttXrVql1atXS5JWrlypeDyuzZs3KxQKqbq6Whs3bpTD4UhHCQAAAGNKWkLYk08+OeQxJpNJq1evToUyAACAiYxrRwIAAOQAIQwAACAHCGEAAAA5QAgDAADIAUIYAABADhDCAAAAcoAQBgAAkAOEMAAAgBwghAEAAOQAIQwAACAHCGEAAAA5QAgDAADIAUIYAABADhDCAAAAcoAQBgAAkAOEMAAAgBwghAEAAOQAIQwAACAHCGEAAAA5QAgDAADIAUIYAABADhDCAAAAcoAQBgAAkAOEMAAAgBwghAEAAOQAIQwAACAHCGEAAAA5QAgDAADIAUIYAABADhDCAAAAcoAQBgAAkAOEMAAAgBwghAEAAOQAIQwAACAHCGEAAAA5QAgDAADIAUIYAABADhDCAAAAcoAQBgAAkAOEMAAAgBwghAEAAOQAIQwAACAHCGEAAAA5QAgDAADIAUIYAABADhDCAAAAcoAQBgAAkAOEMAAAgBwghAEAAOQAIQwAACAHrNl+wv379+vNN9+Uz+dTZWWl7r77btXU1GS7DAAAgJzKak/YO++8oy1btui2227T448/rurqav385z9XT09PNssAAADIuayGsLfeeksLFizQkiVLVFFRoXXr1qmgoED79+/PZhkAAAA5l7UQlkgkdPbsWdXW1vbbPmPGDDU1NWWrDAAAgLyQtTlhwWBQhmHI6/X22+71enXq1Kl+25qbm9XS0pKt0jBM9fX1uS5h3KJtM4v2zRzaNrNo38zJRtsuXbr0qvuzPjH/coZhDNhWVVWlqqqqHFSDK6mvrx/yzYTRoW0zi/bNHNo2s2jfzMmXts3acKTb7ZbJZJLf7++3PRAIDOgdAwAAGO+yFsIsFoumTp2qhoaGftsbGhpUXV2drTIAAADyQlaHI1esWKHnn39eVVVVmjZtmurr6+Xz+fKiSxAAACCbshrC5s2bp1AopJ07d8rv96uyslJf/OIXVVxcnM0yAAAAci7rE/OXLVumZcuWZftpAQAA8grXjgQAAMgBQhgAAEAOEMIAAABygBAGAACQA4QwAACAHCCEAQAA5AAhDAAAIAcIYQAAADlACAMAAMgBQhgAAEAOEMIAAABygBAGAACQA4QwAACAHCCEAQAA5AAhDAAAIAcIYQAAADlACAMAAMgBQhgAAEAOEMIAAABygBAGAACQA4QwAACAHCCEAQAA5AAhDAAAIAdMhmEYuS4CAABgoqEnDAAAIAcIYQAAADlACAMAAMgBQhgAAEAOEMLGgO3bt+v73/9+rsvACPG6AQCuxprrAiaiF154QcFgUA899FBWni+RSGjbtm06efKkurq65HA4NH36dN15550qKipKHffSSy/p448/ls/nk91u17Rp03THHXeooqJi2M/V3d2tHTt26OOPP5bf75fX69XcuXO1atUq2Wy21HE9PT3avHmzTp06JavVqrq6Ot11112yWCySJJ/Pp61bt6qlpUWdnZ2aP3++1q9f3++5fvKTn6ixsXFADRUVFfr6178+0mYaUrZfN0natm2b3nvvPfX29spisWjKlCn65Cc/qWnTpqWOicfj2rp1q9555x3F43Fdf/31+vSnP63CwsKs1ZlOLS0t+tGPfqTq6mp95StfyXU5Onr0qN588011dHTIbrfrhhtu0IYNG3Jd1rDkU1u++uqrOnPmjNra2uT1evUXf/EX/fa3t7dr8+bNam9vVzgcVkFBgebNm6fVq1enPhfyTb60b2trq/bs2aPTp08rGAyqqKhIixYt0q233iqTyZQ67ty5c3r11VfV3Nwsl8ulJUuW6BOf+ES/Y/LFWGrb7du3a8eOHYPe/y//8i/l8Xiu+PiEsAkgFouptbVVt99+uyZPnqxIJKKtW7fqZz/7mf78z/9cZnNfh+jUqVO1YMECFRUVKRQKafv27dq0aZO++c1vDvtDsKOjQ4Zh6NOf/rTKysrU3t6ul19+WaFQSJ/5zGckSclkUs8++6xcLpceffRRBYNBvfDCCzIMQ+vWrZPUFxzdbrduu+02HThwYNDn+tznPqdEIpG6HY/H9YMf/EBz5sy5lubKK+Xl5Vq3bp1KSkoUi8X01ltv6Wc/+5m+8Y1vyOv1SpK2bNmi48eP68EHH5Tb7dZrr72mZ599Vl/72tdSr+1YcvDgQS1dulRHjx5Ve3v7iL4EpNu+ffu0e/durVmzRtXV1YrFYjp//nzO6hmpfGpLwzC0YMECtbW16aOPPhqw32KxaMGCBZo8ebKcTqfOnTun3/3ud0omk1qzZk0OKh5avrRvS0uL3G63NmzYoKKiIjU3N6fa7vbbb5ckRSIRbdq0STU1NfrqV7+qjo4Ovfjii7LZbLr11ltzUvfVjKW2vfXWW7V06dJ+9/v1r38tk8l01QAmMRyZcy+88IKeffbZftuuNozV2Niov/u7v5Pf7++3/Y033tAPfvCDQe/jdDq1ceNGzZs3T+Xl5aqqqtK9996rjo4Otbe3p45bunSpampqVFxcrClTpuhTn/qUfD6furq6hv37zJw5U+vXr9fMmTNVUlKiWbNm6fbbb9f777+fOuajjz5SW1ubNmzYoClTpqi2tlZr1qzRwYMHFYlEJEnFxcVau3atFi5cKJfLNehzuVwueb3e1L/Tp08rFotp0aJFw653tLLxuknS/PnzNWPGDJWUlKiyslJ33323otGoWltbJUnhcFiHDh3SmjVrVFtbqylTpmjDhg06d+6cGhoarvG3zL5YLKZjx45pyZIluummm3To0KF++7u7u/Wtb31LZ8+e7bf9W9/6lt57773U7aamJj399NP69re/raeffloffvihvvWtb+njjz8edi3hcFhvvPGG1q9fr/nz56u0tFSTJk0aMyE/n9pSktatW6fly5errKxs0P2lpaVauHChJk+erOLiYs2ePVt1dXU6ffr0iJ4nW/KpfRctWqS1a9dq+vTpKikp0bx587R06dJ+n7tHjx5VLBbT+vXrVVlZqTlz5mjlypV66623lG/LhY61trXb7f3+FiUSCZ0+fVqLFy8e8vEJYWNMTU2NSkpKdOTIkdQ2wzB09OjREYWPi2HnSgEnGo3q0KFDKioqUnFx8TXVHIlE5HQ6U7ebmppUUVHRbyi0trZWiURiwP9UI3Hw4EHNnDmz3+Pmi3S8bolEQgcOHJDD4dDkyZMl9X1LSyaTqq2tTR1XVFSkiooKnTlzJr2/RBa89957Ki4u1qRJk7RgwQIdOXKkX2/ncESjUf3iF79QeXm5vva1r+nOO+/U66+/PuJaPvroIyWTSQUCAT311FP6l3/5F/3qV78a0ZeSXMqnthyNzs5OnTx5UjU1NVl5vpHK9/Yd7HO3pqam37SQ2tpa+Xw+dXd3p+U502Wste3lDh06JKfTqZtuumnIxyKEjUGLFy/W4cOHU7dPnjypQCCg+fPnD+v+iURCW7du1axZswbMG9q/f7++853v6O///u918uRJPfzww7JaRz9q3dPTozfffFPLli1LbfP7/QO6aN1ut0wm04CeouE6f/68Ghsbh/XNI1dG+7qdOHFC3/nOd/Ttb39bb731ljZu3JgaivT7/TKZTHK73f3u4/F4Rt2WuXTo0KFUe1z8g3H8+PERPcbRo0eVTCZ13333qbKyUrW1talhg5Ho6uqSYRjauXOn7r777tTw9zPPPKNYLDbix8u2fGrLkfjP//xPffvb39b3vvc9XXfddbrjjjsy+nyjlc/t29LSosOHD/cbIhvsc/fSz5F8Mtba9lKGYaTqH87fTkLYGLRgwQJ1dXWlejoOHz6sG2+8ccAf4sEkk0n99re/VTgc1v333z9gf11dnR5//HE98sgjKisr03PPPTfqPzh+v18/+9nPVFtbqxUrVvTbd6WJoKOdIHrgwAF5vV7NmjVrVPfPhtG+btOnT9ef/dmf6bHHHlNtba2ee+45+Xy+IZ8vHyfbXk1nZ6dOnz6turo6SX3119XVDRiKGEpHR4cqKyv7feOvqqoacT2GYSiZTGrt2rWaOXOmqqqq9MADDygQCIz4D0K25VtbjsRnP/tZPf7443rggQf04Ycfavfu3Rl9vtHI5/bt6OjQs88+qxUrVgw5dH5xGDKfPivGett++OGH6u3tHXaHABPzc2ywN/9Q3a4ej0ezZ8/WoUOHVFZWpuPHj+sLX/jCkM+VTCb1m9/8RufOndMjjzwy6B9/p9Mpp9OpsrIyVVdX6x/+4R/03nvvacGCBcP/pdQXwJ555hlVVlZqw4YN/X5Pr9c7YKgsGAzKMIwhJzEOJpFI6MiRI1q8eHHWJqJn83Wz2+0qLS1VaWmpqqur9b3vfU8HDx7UqlWr5PV6ZRiGgsFgv7YLBAK67rrrRv6L5dDBgwdlGIb+9V//dcC+np4eFRUVpdr90jksg7V7Ov6oXOwluHRCsNPpVEFBgXp6eq758TMp39pyJC5OJ6ioqJBhGHrppZe0cuXKvDrJJF/bt6OjQ88884zmzp2rO++8s98+r9erQCDQb9vF26P53M2Usdi2lzp48KCmTZumysrKYT0uISzH3G53apL1RefOnRvyfosXL9Z///d/q6SkRB6PRzNmzLjq8YlEQr/5zW/U1tamL3/5y6k/MFdjGIYMwxjxWLzP50sFsAcffHDAh2d1dbV27typ3t7e1HBoQ0ODLBaLpk6dOqLnkqT3339fwWAwq0OR2XrdBnPpazJlyhSZzWY1NDSkvjn29vaqvb1dd91114gfO1eSyaSOHDmiO+64Y0Bv5vPPP6/Dhw9r1apVqS8Olw6fXP46lJeX68iRI4rFYqlvwc3NzSOu6WKI7ejoSL1Po9GofD7fNc+TzKR8bMvRutgbmUwm8yaE5Wv7tre3p0LCPffcM2B/dXW1fv/73ysej6eGyRoaGlRQUJA37+ex2rYX+Xw+nThxQvfdd9+wHzs/3tUT2PXXX6/W1lYdOnRInZ2dqfVIhjJjxgy53W7t2LFDCxcuvGriTyaTeu6559TU1KQHH3wwNffK7/enhho7Ozu1e/dunT17Vj09PTpz5oyee+45Wa3WEQ3x+Xw+/eQnP5HX69Xdd9+tYDCYeq5kMimpbzJoZWWlnn/+ebW0tKihoUGvv/66Fi9eLIfDkXqs1tZWtba2KhKJKBQKqbW1td/ZnBcdPHgwdQZhtmTjdYtEItq2bZuamprU09Ojs2fP6sUXX1Rvb6/mzp0rqa9nZtGiRXr99dfV0NCglpYWPf/885o0adKoAl6unDhxIhWkKysr+/2bO3euDh06JMMwZLPZVF1drT179qitrU1nzpwZMNl2/vz5MpvN+t3vfqf29nY1NDQMOqT17//+73r77bevWFNZWZlmz56tLVu26PTp02pvb9eLL74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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "OWoh-05PdgfQ", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + } + ] +} \ No newline at end of file From 1f638fe94b26d7405ef7c56c1dce311d4be53f81 Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Wed, 14 Nov 2018 22:56:05 -0600 Subject: [PATCH 3/8] Adjusted last graph --- ..._123_Make_explanatory_visualizations.ipynb | 412 ++++++++++-------- 1 file changed, 225 insertions(+), 187 deletions(-) diff --git a/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb b/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb index f963bbf..1109790 100644 --- a/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb +++ b/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb @@ -17,7 +17,7 @@ "cells": [ { "metadata": { - "id": "XW-RZiBLdgcl", + "id": "VGexGnOwuCP4", "colab_type": "text" }, "cell_type": "markdown", @@ -46,7 +46,7 @@ }, { "metadata": { - "id": "BnjXDmRrdgcn", + "id": "c8g1vo0cuCP7", "colab_type": "code", "colab": {} }, @@ -63,10 +63,10 @@ }, { "metadata": { - "id": "leqPtGWqdgcq", + "id": "Q0cCljQHuCQB", "colab_type": "code", "colab": {}, - "outputId": "40dba040-234f-4ec8-b5bd-d8e7b53cb2b0" + "outputId": "8019a509-2f3c-4f79-8f4a-d4c9b1d2dd32" }, "cell_type": "code", "source": [ @@ -96,16 +96,16 @@ "metadata": { "tags": [] }, - "execution_count": 9 + "execution_count": 3 } ] }, { "metadata": { - "id": "47jErSU0dgcx", + "id": "kWIquYH-uCQH", "colab_type": "code", "colab": {}, - "outputId": "9ec3ed4e-73d8-444a-ce0f-6392192443af" + "outputId": "c7617fc4-043f-450c-8f84-e23fa918bd95" }, "cell_type": "code", "source": [ @@ -148,13 +148,13 @@ "metadata": { "tags": [] }, - "execution_count": 11 + "execution_count": 4 } ] }, { "metadata": { - "id": "pP4rKR1Zdgc2", + "id": "I-fyfC9QuCQM", "colab_type": "code", "colab": {} }, @@ -167,10 +167,10 @@ }, { "metadata": { - "id": "9f5VjXVHdgc6", + "id": "Ekhle4qnuCQQ", "colab_type": "code", "colab": {}, - "outputId": "524aea97-e06b-475f-be22-a4b2d0c6997e" + "outputId": "7cbac082-c87f-4330-bc60-f78cdf543d72" }, "cell_type": "code", "source": [ @@ -197,10 +197,10 @@ }, { "metadata": { - "id": "BdK2RIdfdgc-", + "id": "i9mabD94uCQV", "colab_type": "code", "colab": {}, - "outputId": "ba02b2a4-41e7-449c-eeb5-8ae52a0d8e63" + "outputId": "43b3d50b-c80b-4aa0-cce3-00780a3de844" }, "cell_type": "code", "source": [ @@ -237,10 +237,10 @@ }, { "metadata": { - "id": "kzzJGJH5dgdF", + "id": "zgdPKSBNuCQa", "colab_type": "code", "colab": {}, - "outputId": "aadab280-b8e5-44bb-d376-20287ead814a" + "outputId": "43f95f62-e1f2-4c69-dcc1-8e53e18c729a" }, "cell_type": "code", "source": [ @@ -268,16 +268,16 @@ "metadata": { "tags": [] }, - "execution_count": 21 + "execution_count": 8 } ] }, { "metadata": { - "id": "mS3B6YbldgdJ", + "id": "kUzGz2ptuCQf", "colab_type": "code", "colab": {}, - "outputId": "b23faa57-81d1-4168-893f-44d4be9bdbec" + "outputId": "c45b8032-45a5-44c0-9007-c140bc1461b8" }, "cell_type": "code", "source": [ @@ -301,10 +301,10 @@ }, { "metadata": { - "id": "Zl8ufvuLdgdP", + "id": "fD9FNcTruCQj", "colab_type": "code", "colab": {}, - "outputId": "c954e699-56cd-4117-8041-68c32e852a93" + "outputId": "9c2b652b-f48d-487f-c705-9b56e4d14ac9" }, "cell_type": "code", "source": [ @@ -347,7 +347,7 @@ }, { "metadata": { - "id": "dch58pnCdgdT", + "id": "8aIt3WF4uCQo", "colab_type": "code", "colab": {} }, @@ -361,10 +361,10 @@ }, { "metadata": { - "id": "p9HC5cAFdgdX", + "id": "SaYIFMvmuCQr", "colab_type": "code", "colab": {}, - "outputId": "62c3be7c-432d-4608-c079-85a529888291" + "outputId": "ba419e48-c51f-42f3-febd-e09e46c76fb6" }, "cell_type": "code", "source": [ @@ -383,16 +383,16 @@ "metadata": { "tags": [] }, - "execution_count": 47 + "execution_count": 12 } ] }, { "metadata": { - "id": "g41gkPGcdgdb", + "id": "SYsIypljuCQx", "colab_type": "code", "colab": {}, - "outputId": "959dfce3-321a-41fb-f5bc-81e479574174" + "outputId": "8d920d67-696e-4e8a-a240-51317f05a7ad" }, "cell_type": "code", "source": [ @@ -411,16 +411,16 @@ "metadata": { "tags": [] }, - "execution_count": 48 + "execution_count": 13 } ] }, { "metadata": { - "id": "xa-D5LM6dgdh", + "id": "xWE9rF6xuCQ2", "colab_type": "code", "colab": {}, - "outputId": "ed0fc2ba-ec5a-4def-e114-7f7d91e23708" + "outputId": "a9a42ba8-7f2f-4c3d-f86c-2a8a806b6ada" }, "cell_type": "code", "source": [ @@ -674,16 +674,16 @@ "metadata": { "tags": [] }, - "execution_count": 49 + "execution_count": 14 } ] }, { "metadata": { - "id": "zKJ13Oxgdgdm", + "id": "yh57wR97uCQ7", "colab_type": "code", "colab": {}, - "outputId": "41b5c0c0-071b-4ea9-9321-0692026574c8" + "outputId": "01833c08-0908-48b1-eda6-8d016babd2e9" }, "cell_type": "code", "source": [ @@ -714,33 +714,33 @@ " \n", " \n", " \n", - " 3456\n", + " 43490\n", " \n", " \n", " \n", " \n", " timestamp\n", - " 2017-07-25 03:00:04.685885\n", + " 2017-08-16 14:20:04.487970\n", " \n", " \n", " respondents\n", - " 137\n", + " 366\n", " \n", " \n", " category\n", - " Aged 45+\n", + " Males Aged 45+\n", " \n", " \n", " link\n", - " http://www.imdb.com/title/tt6322922/ratings-age_4\n", + " http://www.imdb.com/title/tt6322922/ratings-ma...\n", " \n", " \n", " average\n", - " 3.9\n", + " 3.7\n", " \n", " \n", " mean\n", - " 4.7\n", + " 4.1\n", " \n", " \n", " median\n", @@ -748,75 +748,75 @@ " \n", " \n", " 1_votes\n", - " 73\n", + " 192\n", " \n", " \n", " 2_votes\n", - " 2\n", + " 22\n", " \n", " \n", " 3_votes\n", - " 2\n", + " 13\n", " \n", " \n", " 4_votes\n", - " 0\n", + " 1\n", " \n", " \n", " 5_votes\n", - " 0\n", + " 5\n", " \n", " \n", " 6_votes\n", - " 1\n", + " 11\n", " \n", " \n", " 7_votes\n", - " 4\n", + " 11\n", " \n", " \n", " 8_votes\n", - " 7\n", + " 19\n", " \n", " \n", " 9_votes\n", - " 6\n", + " 16\n", " \n", " \n", " 10_votes\n", - " 42\n", + " 76\n", " \n", " \n", " 1_pct\n", - " 53.3\n", + " 52.5\n", " \n", " \n", " 2_pct\n", - " 1.5\n", + " 6\n", " \n", " \n", " 3_pct\n", - " 1.5\n", + " 3.6\n", " \n", " \n", " 4_pct\n", - " 0\n", + " 0.3\n", " \n", " \n", " 5_pct\n", - " 0\n", + " 1.4\n", " \n", " \n", " 6_pct\n", - " 0.7\n", + " 3\n", " \n", " \n", " 7_pct\n", - " 2.9\n", + " 3\n", " \n", " \n", " 8_pct\n", - " 5.1\n", + " 5.2\n", " \n", " \n", " 9_pct\n", @@ -824,56 +824,56 @@ " \n", " \n", " 10_pct\n", - " 30.7\n", + " 20.8\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 3456\n", - "timestamp 2017-07-25 03:00:04.685885\n", - "respondents 137\n", - "category Aged 45+\n", - "link http://www.imdb.com/title/tt6322922/ratings-age_4\n", - "average 3.9\n", - "mean 4.7\n", + " 43490\n", + "timestamp 2017-08-16 14:20:04.487970\n", + "respondents 366\n", + "category Males Aged 45+\n", + "link http://www.imdb.com/title/tt6322922/ratings-ma...\n", + "average 3.7\n", + "mean 4.1\n", "median 1\n", - "1_votes 73\n", - "2_votes 2\n", - "3_votes 2\n", - "4_votes 0\n", - "5_votes 0\n", - "6_votes 1\n", - "7_votes 4\n", - "8_votes 7\n", - "9_votes 6\n", - "10_votes 42\n", - "1_pct 53.3\n", - "2_pct 1.5\n", - "3_pct 1.5\n", - "4_pct 0\n", - "5_pct 0\n", - "6_pct 0.7\n", - "7_pct 2.9\n", - "8_pct 5.1\n", + "1_votes 192\n", + "2_votes 22\n", + "3_votes 13\n", + "4_votes 1\n", + "5_votes 5\n", + "6_votes 11\n", + "7_votes 11\n", + "8_votes 19\n", + "9_votes 16\n", + "10_votes 76\n", + "1_pct 52.5\n", + "2_pct 6\n", + "3_pct 3.6\n", + "4_pct 0.3\n", + "5_pct 1.4\n", + "6_pct 3\n", + "7_pct 3\n", + "8_pct 5.2\n", "9_pct 4.4\n", - "10_pct 30.7" + "10_pct 20.8" ] }, "metadata": { "tags": [] }, - "execution_count": 50 + "execution_count": 15 } ] }, { "metadata": { - "id": "88Ctyo_Kdgdr", + "id": "EQ9CB129uCRB", "colab_type": "code", "colab": {}, - "outputId": "edd471c7-7512-40c0-f944-08d178c74615" + "outputId": "e81fd956-6658-4ca5-c081-088c062b7853" }, "cell_type": "code", "source": [ @@ -890,7 +890,7 @@ "text/plain": [ "count 80053\n", "unique 80053\n", - "top 2017-08-24 17:20:03.810987\n", + "top 2017-08-21 02:20:02.098807\n", "freq 1\n", "Name: timestamp, dtype: object" ] @@ -898,16 +898,16 @@ "metadata": { "tags": [] }, - "execution_count": 51 + "execution_count": 16 } ] }, { "metadata": { - "id": "nb6MO87idgdx", + "id": "uyDpWGCCuCRF", "colab_type": "code", "colab": {}, - "outputId": "119f55df-0da7-4e4f-ed99-9c7759b8bd73" + "outputId": "c20ef525-f839-41a2-b158-2c3771ba2813" }, "cell_type": "code", "source": [ @@ -936,13 +936,13 @@ "metadata": { "tags": [] }, - "execution_count": 52 + "execution_count": 17 } ] }, { "metadata": { - "id": "wo0nQzqzdgd4", + "id": "SYNN6e4wuCRL", "colab_type": "code", "colab": {} }, @@ -956,10 +956,10 @@ }, { "metadata": { - "id": "tbgw1aPcdgd6", + "id": "NqiUF9_WuCRP", "colab_type": "code", "colab": {}, - "outputId": "e3a35e0b-208b-4be4-8cae-e093349739d1" + "outputId": "1fbf8ec7-79e6-4c52-9b8a-833261a56355" }, "cell_type": "code", "source": [ @@ -3213,16 +3213,16 @@ "metadata": { "tags": [] }, - "execution_count": 57 + "execution_count": 19 } ] }, { "metadata": { - "id": "CDQFJmc8dgeA", + "id": "oDtFzYNquCRU", "colab_type": "code", "colab": {}, - "outputId": "72b20f9b-ed2c-4d0e-b9a9-1efff8fcbfc9" + "outputId": "8087ae70-be40-409d-eb7f-ddad2a9a9939" }, "cell_type": "code", "source": [ @@ -3271,10 +3271,10 @@ }, { "metadata": { - "id": "fL0E5Ri-dgeF", + "id": "xymOeCVvuCRY", "colab_type": "code", "colab": {}, - "outputId": "9212be2b-56ee-4e51-e5ac-58fb943bed35" + "outputId": "d41cceb1-e3ea-4a8d-c0fd-f49a407c469b" }, "cell_type": "code", "source": [ @@ -3286,24 +3286,24 @@ "output_type": "execute_result", "data": { "text/plain": [ + "Males Aged 45+ 4216\n", + "Males 4216\n", + "Top 1000 voters 4216\n", "US users 4216\n", - "Aged 30-44 4216\n", - "Females Aged 30-44 4216\n", - "IMDb staff 4216\n", + "Females Aged 18-29 4216\n", + "IMDb users 4216\n", "Females 4216\n", - "Top 1000 voters 4216\n", - "Males under 18 4216\n", - "Males 4216\n", + "Aged 45+ 4216\n", + "Aged under 18 4216\n", "Males Aged 30-44 4216\n", + "Aged 30-44 4216\n", + "Females Aged 30-44 4216\n", "Non-US users 4216\n", - "Females Aged 45+ 4216\n", "Males Aged 18-29 4216\n", - "Females Aged 18-29 4216\n", - "Males Aged 45+ 4216\n", - "IMDb users 4216\n", - "Aged 45+ 4216\n", + "Males under 18 4216\n", "Aged 18-29 4216\n", - "Aged under 18 4216\n", + "IMDb staff 4216\n", + "Females Aged 45+ 4216\n", "Females under 18 4165\n", "Name: category, dtype: int64" ] @@ -3311,16 +3311,16 @@ "metadata": { "tags": [] }, - "execution_count": 59 + "execution_count": 21 } ] }, { "metadata": { - "id": "UOQw93xNdgeI", + "id": "_QW5EFfIuCRb", "colab_type": "code", "colab": {}, - "outputId": "86ddfd88-04c5-42ec-eaf9-11f711709533" + "outputId": "aecfe389-481c-41e0-fb2c-e58903843e45" }, "cell_type": "code", "source": [ @@ -3334,24 +3334,24 @@ "output_type": "execute_result", "data": { "text/plain": [ - "http://www.imdb.com/title/tt6322922/ratings-male_age_3 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-age_3 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-male_age_4 4216\n", "http://www.imdb.com/title/tt6322922/ratings-female 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-top_1000 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-usa 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male_age_4 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_2 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_1 4216\n", "http://www.imdb.com/title/tt6322922/ratings-international 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-top_1000 4216\n", "http://www.imdb.com/title/tt6322922/ratings-female_age_3 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-imdb_staff 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-usa 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-female_age_2 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-male_age_2 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_4 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male_age_1 4216\n", "http://www.imdb.com/title/tt6322922/ratings-male 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-female_age_4 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-age_2 4216\n", "http://www.imdb.com/title/tt6322922/ratings 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-male_age_1 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-age_4 4216\n", - "http://www.imdb.com/title/tt6322922/ratings-age_1 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male_age_2 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-age_3 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-female_age_2 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-male_age_3 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-imdb_staff 4216\n", + "http://www.imdb.com/title/tt6322922/ratings-female_age_4 4216\n", "http://www.imdb.com/title/tt6322922/ratings-female_age_1 4165\n", "Name: link, dtype: int64" ] @@ -3359,16 +3359,16 @@ "metadata": { "tags": [] }, - "execution_count": 60 + "execution_count": 22 } ] }, { "metadata": { - "id": "VRbN3cLzdgeL", + "id": "4l94SrfcuCRf", "colab_type": "code", "colab": {}, - "outputId": "27dc3915-4c03-4612-c53b-944218278743" + "outputId": "189f56f9-064f-49db-bc68-f278f3aee640" }, "cell_type": "code", "source": [ @@ -5625,16 +5625,16 @@ "metadata": { "tags": [] }, - "execution_count": 61 + "execution_count": 23 } ] }, { "metadata": { - "id": "WhXDVKZCdgeS", + "id": "twrs3nCruCRl", "colab_type": "code", "colab": {}, - "outputId": "63a7ee77-112a-4f86-968a-64a661ae07c1" + "outputId": "85fad269-fa67-4643-b6bb-575b4e97048f" }, "cell_type": "code", "source": [ @@ -5667,10 +5667,10 @@ }, { "metadata": { - "id": "f4xlagNrdgeV", + "id": "71fOjlRuuCRq", "colab_type": "code", "colab": {}, - "outputId": "57319f3c-1bbf-4b87-b6bd-ccf0b5a4232a" + "outputId": "a3a0d324-d1a8-4493-c3ed-5d0927b9319a" }, "cell_type": "code", "source": [ @@ -5823,16 +5823,16 @@ "metadata": { "tags": [] }, - "execution_count": 65 + "execution_count": 25 } ] }, { "metadata": { - "id": "xyQ5L6n9dgeY", + "id": "9-342me2uCRu", "colab_type": "code", "colab": {}, - "outputId": "5bac0900-5b35-4133-ef90-f66638c9600c" + "outputId": "f86d1fdb-0b81-472f-e21c-3be90830d243" }, "cell_type": "code", "source": [ @@ -5933,16 +5933,16 @@ "metadata": { "tags": [] }, - "execution_count": 66 + "execution_count": 26 } ] }, { "metadata": { - "id": "usw9eTwLdgea", + "id": "4j_TRZZzuCRx", "colab_type": "code", "colab": {}, - "outputId": "45d403e8-d439-4539-9ba3-ba632ac29c30" + "outputId": "acaf17d6-3cff-4687-e0fd-9f3b23fdf2f0" }, "cell_type": "code", "source": [ @@ -5967,10 +5967,10 @@ }, { "metadata": { - "id": "HYptvbcNdgef", + "id": "Ct0VfYiTuCR2", "colab_type": "code", "colab": {}, - "outputId": "612d96f4-ca23-409f-a851-87216f1cd8fb" + "outputId": "8110b01f-0983-4ffb-d8c1-fea114bbd01c" }, "cell_type": "code", "source": [ @@ -6067,16 +6067,16 @@ "metadata": { "tags": [] }, - "execution_count": 70 + "execution_count": 28 } ] }, { "metadata": { - "id": "YpwmVck8dgei", + "id": "-d-ufWvbuCR5", "colab_type": "code", "colab": {}, - "outputId": "0935d4cb-ddcd-4ee2-e52a-6c3ae845262d" + "outputId": "54bfd66a-94f8-470a-aed1-eff08e83774c" }, "cell_type": "code", "source": [ @@ -6121,10 +6121,10 @@ { "metadata": { "scrolled": true, - "id": "Q-WP8O8Xdgep", + "id": "8e_f-xqnuCR9", "colab_type": "code", "colab": {}, - "outputId": "4f14ad4b-18b9-4c01-beaa-2927b791a79e" + "outputId": "9448ed89-cd10-46e1-fa90-8754bc8ab1de" }, "cell_type": "code", "source": [ @@ -6157,16 +6157,16 @@ "metadata": { "tags": [] }, - "execution_count": 82 + "execution_count": 30 } ] }, { "metadata": { - "id": "M0uqQ1q2dget", + "id": "DnXzV3kluCSC", "colab_type": "code", "colab": {}, - "outputId": "263e4e10-0965-471e-a533-72869c75891d" + "outputId": "fa11acd6-84d2-4287-a409-356aa8d645a1" }, "cell_type": "code", "source": [ @@ -6177,18 +6177,15 @@ "ax = data['2017-08-29 23:10:06.218251'].plot.bar(color=colors, width=0.9,\n", " legend=False)\n", "\n", - "# Accessing axis to make further customization:\n", - "\n", "# Set variety of paramenters at once\n", "ax.set(facecolor='w') # Since range is exclusive must go up to 50\n", "\n", "# Matplotlib does not support subtitles\n", "# Can exclute title altogether and add arbitrary text\n", - "\n", "ax.text(x=-2.2, y=46, s=\"'An Incovenient Sequel: Truth to Power' is divisive\",\n", " fontsize=18, fontweight='bold', family='sans-serif', color='#333333')\n", "# Subtitle\n", - "ax.text(x=-2.2, y= 43, s=\"IMDb ratings for the film as of Aug. 29\",\n", + "ax.text(x=-2.2, y=43, s=\"IMDb ratings for the film as of Aug. 29\",\n", " fontsize=15, family='sans-serif', color='#333333');\n", "\n", "\n", @@ -6225,7 +6222,7 @@ }, { "metadata": { - "id": "5KADLJrndgev", + "id": "wA75LPofuCSG", "colab_type": "text" }, "cell_type": "markdown", @@ -6235,7 +6232,7 @@ }, { "metadata": { - "id": "Qp1EoWKLdgew", + "id": "nMvaCa9vuCSG", "colab_type": "code", "colab": {} }, @@ -6250,10 +6247,10 @@ }, { "metadata": { - "id": "WG5YMIAUdgez", + "id": "FkIe4VUwuCSJ", "colab_type": "code", "colab": {}, - "outputId": "d95bc76b-3da3-4f38-a215-032ac79e34d0" + "outputId": "cef19407-dd13-493d-81ff-2700c458835a" }, "cell_type": "code", "source": [ @@ -6314,16 +6311,16 @@ "metadata": { "tags": [] }, - "execution_count": 286 + "execution_count": 33 } ] }, { "metadata": { - "id": "S3q1Sccsdge3", + "id": "LTqL-fgPuCSM", "colab_type": "code", "colab": {}, - "outputId": "d512952c-9deb-4414-c427-164ef1dca590" + "outputId": "4213f834-3893-4fc4-e92c-89c15446c1df" }, "cell_type": "code", "source": [ @@ -6341,13 +6338,13 @@ "metadata": { "tags": [] }, - "execution_count": 265 + "execution_count": 34 } ] }, { "metadata": { - "id": "IfNSe_kddge_", + "id": "WVDyLmUNuCSP", "colab_type": "code", "colab": {} }, @@ -6363,10 +6360,10 @@ }, { "metadata": { - "id": "akde30w5dgfD", + "id": "CC3dK0YIuCST", "colab_type": "code", "colab": {}, - "outputId": "c559e6b9-5899-4c47-9d2c-bf01651b5d78" + "outputId": "81a39822-a99e-424a-84a1-a54e00d99e7c" }, "cell_type": "code", "source": [ @@ -6384,52 +6381,80 @@ "metadata": { "tags": [] }, - "execution_count": 311 + "execution_count": 36 } ] }, { "metadata": { - "id": "q8yZdFa7dgfH", + "id": "deNUqDOUuCSa", "colab_type": "code", "colab": {}, - "outputId": "d3b3bd88-2120-405b-ca33-e3e6f2f21a4e" + "outputId": "c4b0ff6c-dd20-4225-ddf5-d64aee8882b9" }, "cell_type": "code", "source": [ "# Setting edges, labels, and around plot color\n", "with plt.rc_context({'axes.edgecolor':'gray', 'xtick.color':'gray', 'ytick.color':'gray', 'figure.facecolor':'white'}):\n", - " fig, ax1 = plt.subplots(figsize=(9,6))\n", - " \n", - " # Plotting based all dates except those after Aug. 27 (exclude last 2 dates)\n", - " ax1 = sns.lineplot(x=first_thru_last[:-2], y=respondent_lst[:-2], color='turquoise')\n", + " fig, ax1 = plt.subplots(figsize=(8,6))\n", " \n", - " # Setting y-labels to only these\n", - " ax1.set_yticks([0, 20, 40, 60, 80, 100])\n", - " \n", - " # Setting y axis past 0 & above 100 -- grid line will pass 0 & 100 marker\n", - " plt.ylim(-10,105)\n", + "\n", " \n", - " # Setting x-labels based on x-axis values (first_thru_last)\n", - " # Then changing label names\n", - " ax1.set_xticks(['2017-07-23', '2017-07-30', '2017-08-06', '2017-08-13', '2017-08-20', '2017-08-27'])\n", - " ax1.set_xticklabels(['July 23, 2017', 'July 30', 'Aug. 6', 'Aug. 13', 'Aug. 20', 'Aug. 27'])\n", + " # Plotting based all dates except those after Aug. 27 (exclude last 2 dates)\n", + " ax1 = sns.lineplot(x=first_thru_last[:-2], y=respondent_lst[:-2], color='turquoise', lw=3.2)\n", " \n", " # White background color\n", " ax1.set_facecolor('white')\n", " \n", " # Removing spine lines all around plot\n", " for key,spine in ax1.spines.items():\n", - " spine.set_visible(False);" + " spine.set_visible(False);\n", + " \n", + " # Y axis past 0 & above 100 -- grid line will pass 0 & 100 marker\n", + " plt.ylim(-5,105)\n", + " \n", + " # Bolded horizontal line at y=0\n", + " ax1.axhline(y=0, color='black', linewidth=1.3, alpha=.7)\n", + " \n", + " # Y-labels to only these\n", + " ax1.set_yticks([0, 20, 40, 60, 80, 100])\n", + " ax1.set_yticklabels(labels=['0 ', '20 ', '40 ', '60 ', '80 ', '100%'],\n", + " family='Tahoma', fontsize=14)\n", + " \n", + " # X-labels based on x-axis values (first_thru_last)\n", + " # And changing label names\n", + " ax1.set_xticks(['2017-07-23', '2017-07-30', '2017-08-06', '2017-08-13', '2017-08-20', '2017-08-27'])\n", + " ax1.set_xticklabels(['JULY 23, 2017', 'JULY 30', 'AUG. 6', 'AUG. 13', 'Aug. 20', 'AUG. 27'],\n", + " family='Tahoma', fontsize=14)\n", + " \n", + " # Title and subtitle as text\n", + " ax1.text(x=-5.8, y=135, s=\"'An Inconvenient Sequel' was doomed before its release\",\n", + " family='Tahoma', fontsize=18.5, fontweight='semibold', color='#333333')\n", + " ax1.text(x=-5.8, y=117,\n", + " s='Share of tickets sold and IMDb reviews for \"An incoveninent Sequel\"\\nposted through Aug.27, by day',\n", + " family='Tahoma', fontsize=17, color='#333333')\n", + " # Text below plot\n", + " ax1.text(x=-5.8, y=-30, s=\"As of Aug. 27, there were 2,636 IMDb reviews and 371,994 tickets sold\",\n", + " family='Tahoma', fontsize=12.5, color='gray')\n", + " \n", + " # Line at bottom for signature line\n", + " ax1.text(x=-5.8, y=-35,\n", + " s='_________________________________________________________________________',\n", + " fontsize=15, color='gray', alpha=.7)\n", + " \n", + " # Signature text below line\n", + " ax1.text(x=-5.8, y=-42,\n", + " s='Carlos Gutierrez SOURCE: FiveThrityEight',\n", + " family='Tahoma', fontsize=12.5, color='gray')" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -6440,7 +6465,20 @@ }, { "metadata": { - "id": "OWoh-05PdgfQ", + "id": "Wpf81FWvuCSi", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "wJ2BiedIuCSk", "colab_type": "code", "colab": {} }, From 932c7cce5513c8266a27f151a34697cbf7cd64cb Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Thu, 15 Nov 2018 00:45:01 -0600 Subject: [PATCH 4/8] final tweak on last graph --- ..._123_Make_explanatory_visualizations.ipynb | 166 ++++++++++-------- 1 file changed, 91 insertions(+), 75 deletions(-) diff --git a/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb b/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb index 1109790..b41e2a9 100644 --- a/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb +++ b/module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb @@ -17,7 +17,7 @@ "cells": [ { "metadata": { - "id": "VGexGnOwuCP4", + "id": "9ZeqwhqIHBX7", "colab_type": "text" }, "cell_type": "markdown", @@ -46,7 +46,7 @@ }, { "metadata": { - "id": "c8g1vo0cuCP7", + "id": "r6UhuvEEHBX-", "colab_type": "code", "colab": {} }, @@ -63,10 +63,10 @@ }, { "metadata": { - "id": "Q0cCljQHuCQB", + "id": "A-4aC1-zHBYD", "colab_type": "code", "colab": {}, - "outputId": "8019a509-2f3c-4f79-8f4a-d4c9b1d2dd32" + "outputId": "2c25d26f-6a44-4fd5-aa03-db66bb81523f" }, "cell_type": "code", "source": [ @@ -102,10 +102,10 @@ }, { "metadata": { - "id": "kWIquYH-uCQH", + "id": "-3Qha2pLHBYK", "colab_type": "code", "colab": {}, - "outputId": "c7617fc4-043f-450c-8f84-e23fa918bd95" + "outputId": "94d7d87a-c033-4835-dda9-f5ea57c9de99" }, "cell_type": "code", "source": [ @@ -154,7 +154,7 @@ }, { "metadata": { - "id": "I-fyfC9QuCQM", + "id": "FKeDyq2bHBYP", "colab_type": "code", "colab": {} }, @@ -167,10 +167,10 @@ }, { "metadata": { - "id": "Ekhle4qnuCQQ", + "id": "qeQIHAIcHBYT", "colab_type": "code", "colab": {}, - "outputId": "7cbac082-c87f-4330-bc60-f78cdf543d72" + "outputId": "d5c23021-f24f-47c4-a43e-a326e7bf6d02" }, "cell_type": "code", "source": [ @@ -197,10 +197,10 @@ }, { "metadata": { - "id": "i9mabD94uCQV", + "id": "ufsWV8m7HBYX", "colab_type": "code", "colab": {}, - "outputId": "43b3d50b-c80b-4aa0-cce3-00780a3de844" + "outputId": "8ed55ea4-cee5-4325-8920-bbd9f2c993cc" }, "cell_type": "code", "source": [ @@ -237,10 +237,10 @@ }, { "metadata": { - "id": "zgdPKSBNuCQa", + "id": "YYGLow0sHBYb", "colab_type": "code", "colab": {}, - "outputId": "43f95f62-e1f2-4c69-dcc1-8e53e18c729a" + "outputId": "7604259a-9cf2-4cf1-cc50-e30dc86af013" }, "cell_type": "code", "source": [ @@ -274,10 +274,10 @@ }, { "metadata": { - "id": "kUzGz2ptuCQf", + "id": "U8ViFAKSHBYg", "colab_type": "code", "colab": {}, - "outputId": "c45b8032-45a5-44c0-9007-c140bc1461b8" + "outputId": "0a018e78-8424-4c27-d56e-26e124222ce6" }, "cell_type": "code", "source": [ @@ -301,10 +301,10 @@ }, { "metadata": { - "id": "fD9FNcTruCQj", + "id": "lo6DIogvHBYk", "colab_type": "code", "colab": {}, - "outputId": "9c2b652b-f48d-487f-c705-9b56e4d14ac9" + "outputId": "eb99d81c-ad9c-4813-a45e-0833f3acb748" }, "cell_type": "code", "source": [ @@ -347,7 +347,7 @@ }, { "metadata": { - "id": "8aIt3WF4uCQo", + "id": "6EagJVCcHBYp", "colab_type": "code", "colab": {} }, @@ -361,10 +361,10 @@ }, { "metadata": { - "id": "SaYIFMvmuCQr", + "id": "Me-XlEzvHBYs", "colab_type": "code", "colab": {}, - "outputId": "ba419e48-c51f-42f3-febd-e09e46c76fb6" + "outputId": "db81430c-bb60-4b52-f6c9-ea49f73daa0c" }, "cell_type": "code", "source": [ @@ -389,10 +389,10 @@ }, { "metadata": { - "id": "SYsIypljuCQx", + "id": "Qa_Mdoz2HBYx", "colab_type": "code", "colab": {}, - "outputId": "8d920d67-696e-4e8a-a240-51317f05a7ad" + "outputId": "9fb6b391-871b-46a0-b86e-c981821b549b" }, "cell_type": "code", "source": [ @@ -417,10 +417,10 @@ }, { "metadata": { - "id": "xWE9rF6xuCQ2", + "id": "cjKhOk79HBY3", "colab_type": "code", "colab": {}, - "outputId": "a9a42ba8-7f2f-4c3d-f86c-2a8a806b6ada" + "outputId": "5b0b62f9-3832-4444-c342-7aa4c469d0b3" }, "cell_type": "code", "source": [ @@ -680,10 +680,10 @@ }, { "metadata": { - "id": "yh57wR97uCQ7", + "id": "V5KWkiR7HBY9", "colab_type": "code", "colab": {}, - "outputId": "01833c08-0908-48b1-eda6-8d016babd2e9" + "outputId": "9fe046e6-f765-465d-ec02-dc0ab6e8be42" }, "cell_type": "code", "source": [ @@ -870,10 +870,10 @@ }, { "metadata": { - "id": "EQ9CB129uCRB", + "id": "vr-hnE-2HBZC", "colab_type": "code", "colab": {}, - "outputId": "e81fd956-6658-4ca5-c081-088c062b7853" + "outputId": "78caa125-e972-4634-8130-148feb7a58fa" }, "cell_type": "code", "source": [ @@ -904,10 +904,10 @@ }, { "metadata": { - "id": "uyDpWGCCuCRF", + "id": "r1YOIb4rHBZH", "colab_type": "code", "colab": {}, - "outputId": "c20ef525-f839-41a2-b158-2c3771ba2813" + "outputId": "ed6b327c-d265-4468-af0f-01f049c199bd" }, "cell_type": "code", "source": [ @@ -942,7 +942,7 @@ }, { "metadata": { - "id": "SYNN6e4wuCRL", + "id": "itE2SFwlHBZM", "colab_type": "code", "colab": {} }, @@ -956,10 +956,10 @@ }, { "metadata": { - "id": "NqiUF9_WuCRP", + "id": "hegDpf_mHBZR", "colab_type": "code", "colab": {}, - "outputId": "1fbf8ec7-79e6-4c52-9b8a-833261a56355" + "outputId": "28124729-0e9e-45d8-8f33-caeffadd1b2f" }, "cell_type": "code", "source": [ @@ -3219,10 +3219,10 @@ }, { "metadata": { - "id": "oDtFzYNquCRU", + "id": "N33zEZ12HBZW", "colab_type": "code", "colab": {}, - "outputId": "8087ae70-be40-409d-eb7f-ddad2a9a9939" + "outputId": "a819a353-4479-4201-ae34-ff598a53abdd" }, "cell_type": "code", "source": [ @@ -3271,10 +3271,10 @@ }, { "metadata": { - "id": "xymOeCVvuCRY", + "id": "GcIf87JIHBZa", "colab_type": "code", "colab": {}, - "outputId": "d41cceb1-e3ea-4a8d-c0fd-f49a407c469b" + "outputId": "41a03bc8-5a26-47f1-ff15-bd5625971887" }, "cell_type": "code", "source": [ @@ -3317,10 +3317,10 @@ }, { "metadata": { - "id": "_QW5EFfIuCRb", + "id": "QM6k1kRaHBZd", "colab_type": "code", "colab": {}, - "outputId": "aecfe389-481c-41e0-fb2c-e58903843e45" + "outputId": "0e6117e7-afac-415b-fd70-361649a275ed" }, "cell_type": "code", "source": [ @@ -3365,10 +3365,10 @@ }, { "metadata": { - "id": "4l94SrfcuCRf", + "id": "4rrS8b3pHBZg", "colab_type": "code", "colab": {}, - "outputId": "189f56f9-064f-49db-bc68-f278f3aee640" + "outputId": "5f314db6-175a-4c83-be55-b456f84082a5" }, "cell_type": "code", "source": [ @@ -5631,10 +5631,10 @@ }, { "metadata": { - "id": "twrs3nCruCRl", + "id": "k-3DziR7HBZk", "colab_type": "code", "colab": {}, - "outputId": "85fad269-fa67-4643-b6bb-575b4e97048f" + "outputId": "1d878493-27cb-4720-e745-ce0a69b959cb" }, "cell_type": "code", "source": [ @@ -5667,10 +5667,10 @@ }, { "metadata": { - "id": "71fOjlRuuCRq", + "id": "amn57y-pHBZp", "colab_type": "code", "colab": {}, - "outputId": "a3a0d324-d1a8-4493-c3ed-5d0927b9319a" + "outputId": "c8fdad10-ae83-4ee5-b59f-62c114817355" }, "cell_type": "code", "source": [ @@ -5829,10 +5829,10 @@ }, { "metadata": { - "id": "9-342me2uCRu", + "id": "EUmG-r9eHBZs", "colab_type": "code", "colab": {}, - "outputId": "f86d1fdb-0b81-472f-e21c-3be90830d243" + "outputId": "cd6a37eb-d590-4d77-f368-28c7b4e4b49f" }, "cell_type": "code", "source": [ @@ -5939,10 +5939,10 @@ }, { "metadata": { - "id": "4j_TRZZzuCRx", + "id": "GdnJmhrOHBZx", "colab_type": "code", "colab": {}, - "outputId": "acaf17d6-3cff-4687-e0fd-9f3b23fdf2f0" + "outputId": "2c84dee9-3165-4dc5-cb53-ecc3f8c35d7c" }, "cell_type": "code", "source": [ @@ -5967,10 +5967,10 @@ }, { "metadata": { - "id": "Ct0VfYiTuCR2", + "id": "PocwdBE9HBZ0", "colab_type": "code", "colab": {}, - "outputId": "8110b01f-0983-4ffb-d8c1-fea114bbd01c" + "outputId": "da67013a-9bc8-4e86-e15a-0ffb85faf0ae" }, "cell_type": "code", "source": [ @@ -6073,10 +6073,10 @@ }, { "metadata": { - "id": "-d-ufWvbuCR5", + "id": "zdbvwEiiHBZ4", "colab_type": "code", "colab": {}, - "outputId": "54bfd66a-94f8-470a-aed1-eff08e83774c" + "outputId": "367d0ef8-b13e-4957-b2cf-08c09112c71d" }, "cell_type": "code", "source": [ @@ -6121,10 +6121,10 @@ { "metadata": { "scrolled": true, - "id": "8e_f-xqnuCR9", + "id": "w56u69IVHBZ8", "colab_type": "code", "colab": {}, - "outputId": "9448ed89-cd10-46e1-fa90-8754bc8ab1de" + "outputId": "1986423f-5a8f-4971-d4b0-2dd40ec7ba60" }, "cell_type": "code", "source": [ @@ -6163,10 +6163,10 @@ }, { "metadata": { - "id": "DnXzV3kluCSC", + "id": "xRmG3hawHBZ_", "colab_type": "code", "colab": {}, - "outputId": "fa11acd6-84d2-4287-a409-356aa8d645a1" + "outputId": "a413cb12-3935-4eb3-fc32-9453b18a5409" }, "cell_type": "code", "source": [ @@ -6222,7 +6222,7 @@ }, { "metadata": { - "id": "wA75LPofuCSG", + "id": "MF8mbztyHBaD", "colab_type": "text" }, "cell_type": "markdown", @@ -6232,7 +6232,7 @@ }, { "metadata": { - "id": "nMvaCa9vuCSG", + "id": "VzYlgyOQHBaE", "colab_type": "code", "colab": {} }, @@ -6247,10 +6247,10 @@ }, { "metadata": { - "id": "FkIe4VUwuCSJ", + "id": "kZyVp9f1HBaH", "colab_type": "code", "colab": {}, - "outputId": "cef19407-dd13-493d-81ff-2700c458835a" + "outputId": "a06e5747-a09a-4efc-e5a1-f0c07dbd583c" }, "cell_type": "code", "source": [ @@ -6317,10 +6317,10 @@ }, { "metadata": { - "id": "LTqL-fgPuCSM", + "id": "XXa0ZngiHBaK", "colab_type": "code", "colab": {}, - "outputId": "4213f834-3893-4fc4-e92c-89c15446c1df" + "outputId": "e4cce3dc-b21b-4f45-edfc-3f686b8e82e5" }, "cell_type": "code", "source": [ @@ -6344,7 +6344,7 @@ }, { "metadata": { - "id": "WVDyLmUNuCSP", + "id": "PqdH-0xdHBaO", "colab_type": "code", "colab": {} }, @@ -6360,10 +6360,10 @@ }, { "metadata": { - "id": "CC3dK0YIuCST", + "id": "Qe4lG-erHBaQ", "colab_type": "code", "colab": {}, - "outputId": "81a39822-a99e-424a-84a1-a54e00d99e7c" + "outputId": "0e73e9d3-a30d-40f7-8b3a-c824494d06d3" }, "cell_type": "code", "source": [ @@ -6387,21 +6387,23 @@ }, { "metadata": { - "id": "deNUqDOUuCSa", + "id": "txO-YU_THBaV", "colab_type": "code", "colab": {}, - "outputId": "c4b0ff6c-dd20-4225-ddf5-d64aee8882b9" + "outputId": "f9ca8b94-ab50-4f39-9018-4e8e3955eab9" }, "cell_type": "code", "source": [ "# Setting edges, labels, and around plot color\n", + "from matplotlib.patches import Ellipse, Circle\n", "with plt.rc_context({'axes.edgecolor':'gray', 'xtick.color':'gray', 'ytick.color':'gray', 'figure.facecolor':'white'}):\n", " fig, ax1 = plt.subplots(figsize=(8,6))\n", " \n", "\n", " \n", " # Plotting based all dates except those after Aug. 27 (exclude last 2 dates)\n", - " ax1 = sns.lineplot(x=first_thru_last[:-2], y=respondent_lst[:-2], color='turquoise', lw=3.2)\n", + " ax1 = sns.lineplot(x=first_thru_last[:-2], y=respondent_lst[:-2],\n", + " color='#46C1CA', lw=3.2)\n", " \n", " # White background color\n", " ax1.set_facecolor('white')\n", @@ -6427,12 +6429,26 @@ " ax1.set_xticklabels(['JULY 23, 2017', 'JULY 30', 'AUG. 6', 'AUG. 13', 'Aug. 20', 'AUG. 27'],\n", " family='Tahoma', fontsize=14)\n", " \n", + " # Text comments on graph\n", + " ax1.text(x=17.7, y=90.5, s=\"Share of IMDb\\nreviews posted\",\n", + " family='Tahoma', fontsize=17, fontweight='semibold',\n", + " color='#46C1CA', backgroundcolor='white')\n", + " ax1.text(x=7.2, y=61.5, s=\"62% of reviews were\\nalready in by the\\nwide release date\",\n", + " family='Tahoma', fontsize=12.5, color='#333333')\n", + " \n", + " # Circular marker at 62%\n", + " plt.plot(17.9, 61.6, 'o', markersize=9, color='white', markeredgecolor='#46C1CA')\n", + " \n", + " # Line pointer for comment at 62%\n", + " ax1.text(x=16.4, y=63, s='_', fontsize=23, color='#333333')\n", + "\n", " # Title and subtitle as text\n", - " ax1.text(x=-5.8, y=135, s=\"'An Inconvenient Sequel' was doomed before its release\",\n", + " ax1.text(x=-5.8, y=130, s=\"'An Inconvenient Sequel' was doomed before its release\",\n", " family='Tahoma', fontsize=18.5, fontweight='semibold', color='#333333')\n", - " ax1.text(x=-5.8, y=117,\n", + " ax1.text(x=-5.8, y=115,\n", " s='Share of tickets sold and IMDb reviews for \"An incoveninent Sequel\"\\nposted through Aug.27, by day',\n", - " family='Tahoma', fontsize=17, color='#333333')\n", + " family='Tahoma', fontsize=16.5, color='#333333')\n", + " \n", " # Text below plot\n", " ax1.text(x=-5.8, y=-30, s=\"As of Aug. 27, there were 2,636 IMDb reviews and 371,994 tickets sold\",\n", " family='Tahoma', fontsize=12.5, color='gray')\n", @@ -6452,7 +6468,7 @@ { "output_type": "display_data", "data": { - "image/png": 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1a+Li4tDQ0OD169dinJEjR2JjYwPkmOxDQkIKHBBevnzJn3/+Kf7++uuvRfm5e/euZE0G5LT/9PR0AOrVq8eaNWvQ1NRk4MCBuLm5ER0dTVpaGkePHmXIkCESS+Ds2bPp3r07kNN2Fy1aBOTsavziiy/yWCM3btyIubk5z58/x8XFRQxfunQptra2ZGRk0KFDB1HpjYqKwsrKqkTvWX1Xp62tLStXrgRy1p+cPHky3zorDBMTE77//nsABg8ezODBg8VBMCQkBBsbmxLJc1JSkui6V7nzVagmI5Djwh8xYgQAVlZWopvl7NmzvHz5Ms9CWw8PD1xcXKhevToaGhqcPn2aqKgoIKdfUFd+oqKiCA0NJTk5mYsXL9KhQ4di14eTkxPBwcGEh4cDYGFhIXkGdQW2bdu2kon6pEmTiIuLK1Y+RkZGrFixgkaNGmFoaAjkLAVQURp5j4+PF2VDX1+f9evXU65cOSBHTlVlDwoKQqlUlrm87t+/v9RjzfumTJQYBwcHABwdHUWhOXXqVIFKjK6ubk7m2tqYmJiIA4S6q6AsUO88a9euLf6tykfVwQM0b948z8to164dkDMLUKF64QCGhoa0adOGc+fOATkzu9xKjOpZc5dB1UAAOnXqxNatW4GcAbMgJebvv/8Ww44ePcrRo0fzfe4nT57keZbS1PmjR48kM4zevXsXmF9uiqr70tK9e3cyMzNZu3Ztvmel3Lt3Dw8PD/bv3y+pr6ioKImVQZ0nT55IBrGaNWsWy4pQEtTLsmjRInEQVScxMTHPjK40KBQKtLS0yMrK4sGDB+IAADlt+tKlS6Snp3Pp0iUyMzNFy0arVq3ENSIVKlQgPDwcPz8/bt++TXx8fJ53l56ejqmpKVWqVBHb09SpU2natCmtWrXC0dFRlKH8uHXrltiJa2trS6ySBcVX0bZtW3GXjKamJnZ2duzbtw+Amzdv8vDhQ968eSPGV5db9fUVKSkpPHr0iAYNGkjyUslL7nULqnAdHR0qV64sWvkyMjKAkr3niIgIMczJyanQZy8NrVq1Evvjp0+fvpU8q5OcnCxRMNXrVqFQUL58eVJSUhAEgVu3bmFvby+5v2XLlhI3ikrJAOnauJKWq6Q0bNhQdBcfP36cq1ev0rp1a6ytrenatWuxN6eUL1+e1q1bS8LeVt5v3LghymVqaqo4xuZGVSdlLa9vM9a8b0q1V+7hw4fcv39f/B0cHMyPP/7I3bt3xbBLly4Vq0NWdzWUxSy0JPmov+Tq1asXeK+6wpHbt6/+u6gBWqVJq5cBpC6lkJAQXr58KdalqampuNCvuANcfm4tdYpb5+8iv7LAxcWFI0eOsGrVKgYMGEDjxo0l11NSUvD19S1R+dXf8bvYolncsqgPvKXFwMBAbDPZ2dncvHlTosSorl26dEniSlJf07V27VpGjhzJvn37CA8P5/Hjx/nOTDU0NJgzZ46otGZlZXH9+nV27NjBmDFj8PT0LNDkrF7nxsbGRa6HU49fsWJFyTX134mJiZK4ua/nluGymDyp5Kgk7/ldtzl1uUtLSyszec7t1lGvTw0NjRL1iYDEMlAYZSEb6gwbNkzSdzx//hw/Pz8WLlxI3759RQtlaXhbeS9pnZS1vJZVW3kflMoSk3tX0pEjR/LEycrKIigoqNAD6gCJ+et9ozL9AYW6C9Tj5RbgwhSc3BT0rE2bNsXMzIyoqChiY2PZvn272CmqKzgqXyjkrF0oyHeu7gcuSTlyo/7ckOOSy881UJSSUlbvOCsri8TERIyNjdHT08PBwUGcoYSFhTFx4kRx9hITEyPxCZuYmDB69Oh8061Tp46kw0pJSSlx2TIzMwsdhA0NDcWOoX///nkULxVGRkaiaf1tsLa2Ft1jvr6+4gFlCoWCxMRELl++LO7AUqGaUT98+FC0DAJ8+umnuLi4YG5unq8539HRkSNHjuDr68vly5f5+++/xcHL39+f7t2753uf+o6Z4gxQJZHD3G03OTlZlM/cCk5RclsSSvKejY2NRWtiadpcUaj3aRUrViwzec6vbtUpSZ8I0n7NwsJCXAKQGwsLiyLTKgnGxsZs376dwMBAzp8/z7Vr10TLRkxMDGvXrhXd4CXlbeVdvU7KlSsncU+pU7Vq1Xcir2U11rwPykSJKSxeUUrMh6RZs2bi39euXePhw4firiXIWRAHOUrGzZs3gZwtc6oV6ykpKeKaC3g7IevUqZPof/7jjz/EcHUlplmzZuK6ntjYWLp16yYZhCDHDJi7kykt5ubmGBgYiJ1UuXLl8rzP1NRUyVqSkqB+aFbugSU/UlJS6N+/P1999RWdO3eWKEdWVlbo6OiISky1atUk7/fly5e0atVK8n4hZ/YVHx8v2SKrMrurbxHNTe7O+cGDBzRq1EhcPJcbS0tL0UWYnJycZ/2PIAicPXu2zKxWn3zyibidVLVrsGLFijRq1IjExES8vLx48+aNeOaOsbGxaBZWt6hWqFCBWbNmFaiIRkVFceHCBXr37s3w4cMZPnw46enpDBgwQBwQCprRqrtqkpOTiYyMpGHDhgU+k6Wlpdj3BAcH8+WXX6KhoUF2drbE/dq0aVPMzc1FtwbkyK1qTYzK/Qs5A7b6YvG3pSTv2dTUVFRiwsPDJRsQ3paUlBTJgZCqOikLeVbV2aNHj4CculW1nStXrojpa2hoFKtPVC12hRzlwcHBIc9i+vv374uL8UtCYX3Mjh07cHZ2pmvXruIgvW7dOnG36NtYYt5W3i0tLdHQ0EAQBN68eUOtWrXyuNkSEhJ48ODBO5HX9z3WvA0lVmKio6Mlvun9+/dLBgZ/f388PT2BnMWESUlJZfKgKSkp/Pnnn6LgqPjzzz8xNjbGycmpxAOAg4MDNWrUICYmhqysLEaNGkWfPn2oUqUKt27d4vjx48ydOxc3NzcOHTqEIAiEhoYyd+5cmjVrxokTJ0TBqFKlimRHQEnp3LmzqMSoBsEaNWpIzoxwcXFh8+bNvHnzhgcPHvDZZ5/h5ORElSpViIuL4+LFi1y5coXt27cXeMJySdDW1sbd3Z0dO3YAOUeQX7hwgaZNm6Kpqcn9+/cJCAigefPmBa43KQz1jurOnTusX78eMzMzkpKSxO2Aufnnn3/w9PSkTp062NvbY2Zmxps3bzh58qRo2tTV1aV79+7UqlULS0tLIiIiyMzMZNSoUfTo0YPatWuTlpbG33//zblz55gwYQIDBgygUqVKxMXFkZGRweTJk+nWrRuRkZH5duo1a9ZEU1NTdJXMnDmTtm3bcuXKFXF3jDr9+/cXO7WjR4/y/Plz2rVrh4GBAdHR0QQFBfHixYs8JxGXFisrK3HAUil2rVu3RlNTk+bNm6Orq0t6erp4rW3btmLHp76FOyUlhWvXrmFubi6e56FOUlIS3333Hdu3b6djx47UqFGDJ0+e8Pz5czGO+g4fdczNzWnYsKG4pfirr77C3d2dmJiYfBe29uzZEy8vL9LS0nj06BFTp07FxsaG4OBgcY2Gnp4ezs7OaGtr4+rqKi60XbZsGU+ePEEQBHFxPeScX1KWxzqU5D137txZXHuwe/duIEeZ9Pb2LlXeCQkJbN26FU1NTfz8/IiPjwf+Jw9lKc/u7u7iWkEvLy+SkpKoWLGiuKAcwN7evlhusg4dOoj9cFxcHEOHDqV79+6YmpqSmJjI1atX+euvv1iyZIlkfV1xUO9jfH19MTc3Jysrixo1anDs2DE2bNhAx44dadKkCW/evJGs9VS35JaUt5X3qlWr0rFjR1FpnzZtGt27d6dBgwZkZmZy+/ZtgoKCcHZ2lkx0y0peLS0t3+tY8zaUWHrVrTA1a9bMM7O1trYWFxVmZGRw7tw5cQb0NsTHx4t74tVZu3atmG9JlRg9PT2+//57pkyZwuvXr0lISGDLli154llaWuLh4SGuCD9x4gQnTpyQpPPtt99KDs4qKVZWVpiYmEgaU25rQ9WqVVmyZAmzZ88mNTWVx48f5zmHoKzx8PDg7t27hIaGkpWVxfHjx/MVjtLQqlUrKleuLB5spnqWNm3a5KvEqNfF48ePJbs7VOjp6bFgwQJq1aoFwJIlS5gwYQLR0dEkJCRIOll1dHV1+eyzz8T2pNrxpEpT/VwSyJnxdO7cWRxsnz59ytOnT9HS0kJbWzuPNcbBwYFRo0aJs7xLly5x6dIlSZzcM523QVtbmzZt2kg6SYVCIT6PlZWVeCgkSLdWt2zZUjxrJisrS3TDFXZg3ZMnTyRnpaho3759gYsSIWd3xJw5c4D/HdRWUF7Vq1dnzpw5LFq0iKysLPEMDBVaWlrMmTNHPJtkwoQJXLt2jVu3bpGUlJTnQ5IWFhZMnDixwLKVhpK8Zzc3N37//XdevXpFVlaWqFyU9pMSKSkpYvtVZ+rUqeIi1bKS50GDBnHhwgWCg4PJyMjI8+7NzMyYPXt2sdJS9cNTp04lISFBdKmXBR07dmTr1q0IgkBiYqK482nMmDFAjhvz2LFjeY6JMDY2fqu2URbyPmfOHJ4+fcqdO3d48+aNZEeYOu9CXjU0NN77WFNaSrywV12JyW/nQcWKFSXmQXXN9t+IlZUVe/bsYfDgwdSrVw89PT20tbWpU6cOgwcPFp9x5MiR/PTTT7Rr146KFSuira1NtWrV6NGjB7///nu+B92VlNzm5Px2azg4OLBnzx4GDBhAvXr10NfXR0tLiypVqmBra8vs2bPz7LR4G/T09Pj5559ZsGABNjY2VKpUCS0tLcqVK0eDBg3o378/Hh4epUpbX1+fn3/+GRsbGwwMDNDQ0KBixYoFlt/Q0JA9e/YwcuRImjVrJn5DSE9Pj3r16tG/f3/27Nkj8d/WqlWLXbt2MWHCBKysrDA0NERLS4sKFSrQokULxo0bJ25D/Pzzz5kwYQLVqlVDW1sbCwsLVq1aJXFLqTN37lxcXFyoVKkS5cuXx97enq1bt+Z7wBfkDCAbN27EyckJExMTdHV10dXVpWbNmnTr1o3vvvuuVPVYELln0yolJvffIN1hoqOjw08//YSDgwMGBgbo6elhZ2cndsjq1KtXD09PT6ytrTE2NkZLSwsDAwNat27N0qVLWbFiRaFropycnJg7dy5mZmbo6OhQv359yXbo3Dg7O7Np0yY6duwotsVKlSrRsWNHvLy8JF9YNjAwYNOmTXh4eNCwYUP09PTQ09OjYcOGjB8/nk2bNpX5onMo/ns2NDRk3bp1KJVK9PT0qFSpEu7u7nz77belyrdWrVoMGjRIzLNhw4YsXryYAQMGiHHKSp61tLRYuXIlM2fOxNLSknLlyqGrq0udOnUYOnQo27ZtK3SzRG5U29NHjBhB48aNKV++PFpaWhgZGaFQKPjiiy9KZe21tLRk6dKlWFhYoKuri5aWFtWqVaNmzZrMnDkTZ2dnse2pyj9ixIg8HobS8LbybmxszNatW5k5cyZt2rQR+zsDAwMsLCwYNmwYgwcPfmfy+r7HmtKiIbzLLUEyMv8B1D9loTpyXUZGRkbmw/Pv+xypjIyMjIyMjEwxkJUYGRkZGRkZmY8SWYmRkZGRkZGR+SiR18TIyMjIyMjIfJTIlhgZGRkZGRmZjxJZiZGRkZGRkZH5KJGVGBkZGRkZGZmPElmJkZGRkZGRkfkokZUYGRkZGRkZmY8SWYmRkZGRkZGR+SiRlRgZGRkZGRmZjxJZiZGRkZGRkZH5KJGVGBkZGRkZGZmPElmJkZGRkZGRkfkokZUYGRkZGRkZmY8SWYmRkZGRkZGR+SiRlRgZGRkZGRmZjxJZiZGRkZGRkZH5KJGVGBkZGRkZGZmPElmJkZGRkZGRkfkokZUYGRkZGRkZmY8SWYmRkZGRkZGR+SgpEyXGx8cHpVLJ1atXyyK5D0J2djabNm3C1dUVGxsbvvrqq3ean1Kp5Ntvv32nebxvXF1dmTBhQqFxNm3ahFKpJDo6+j2VKi9Xr15FqVTi4+PzwcpQGNHR0SiVSjZt2vShi/JRkZiYyPz58+nSpQt2dnbs2rWrzPM4fPgwSqWSkydPEhISglKpZNu2bWWej4zMu2bBggV88skn4u+ePXvSr18/AEaMGIGdnd2HKlqJKJYSc+LECT7//HPs7Ozo0KED/fr1Y+nSpdy6deuwKrBNAAAgAElEQVRdl++94evry/r161EoFEyZMgWlUplvvLt377Jhw4Y8g/DYsWMLvOddcfnyZTZs2EBiYuJ7zff/AirFXP2fSulZsGABSqUSZ2dnsrKy8ty7ZcsWlEqlpIPYsGGDmI61tTWOjo4MGjSIH3/8kaioqPf2XG+Lq6srrq6uH7oY+bJixQoCAgJwc3PDw8OD2rVrl3keFStWBKBChQri30ZGRnniff/99yiVSkaNGlWm+ava5b9VAS8rlEolY8eO/SB5JyUlsWHDBsLCwooVXxAE9u3bx8CBA2nXrh2dO3dm0KBBrF69msePH7/j0pYdFStWpEKFCuLf+bXrfyPaRUX47bff+PXXX7GwsGDkyJHo6ekRERGBr68vaWlpLFiw4D0U891z4sQJLC0ti3yeu3fv4uXlhUKhoGbNmmL4Z599hpOT0zsupZTLly/j5eWFq6ur2PhkyobmzZvj6enJrl27SExMZNy4cTRv3lwSJzY2lqCgIDp16iSGZWdnc+jQITQ1858fTJo0CQMDA16/fk1ERAR//PEHBw8eZNmyZTg4OLzTZyoLirK0fSgEQeDkyZMMGDCASZMmvbN81BUXlczl7uwFQeD06dNoaWkRHh7Oy5cvqVq1apnkr2qXudvifw1PT0+qVav2QfJOTk7Gy8sLoFgT0yVLlnDo0CGUSiXdu3cHIDw8nN27d1OuXDnGjRv3TstbVlSsWBEDAwMgp03/J5SYhIQENm7ciJWVFZs2bUJb+3/Rnz9/zl9//fXOC/i+eP78OZaWlqW+39HRsQxLI/OhMTc3x9zcnD///JPs7Gw+/fRTyXUtLS3atm3L3r17JUpMcHAwsbGxWFtbc/HixTzp9ujRgxo1aoi/IyMjmTp1KrNmzWLXrl2Ym5u/s2cqC3r06PGhi5Avr169Ij09nbp1677TfNQtMapOXhWm4u+//+bFixcMGzaM7du3c/r06Tztp7So2uV/nbKqr3dNZGQkhw4dolOnTvzwww+Sa/fu3ePBgwcfqGQlp2LFipQvXx7IUWJyt+t/K4W6kx4/fkxmZiatW7eWKDAAJiYmuLm5ScLi4uJYvHgxnTt3xsnJiRUrVpCRkSFe37ZtGwMGDKBDhw588skn9O7dO4/fX7WuIjAwkMGDB2NjY0NSUhIAV65cYezYsdjb2+Po6MhXX31FTExMkQ8ZExPD3Llz6dSpE3Z2dowePZpLly6J15VKJY8ePcLPz080+ee3ZsPHx4f58+cDMH78eEnc3P5FAH9/f9EN1717d2bMmMH169fzLePNmzdxcHBgwoQJYp09e/aMOXPm0KlTJ2xtbRk5cqS47mjDhg2sX78egF69eollAXj58iXffPMN3bt3p3379gwePJhNmzaRnZ1dYB0VdU9aWhpr167F2dmZdu3a0a9fP/bv319ovWdnZ7N161ZcXFywt7fn888/5/Lly4XeA/DmzRumTp2Kq6srtra2ODg4MHLkSK5cuSLGCQsLQ6lUsm/fPlatWkW3bt3o1KkTX3/9tdheVAQFBTF48GDs7Ozo06cP+/btK7IMxaF///5cunSJyMhIMWz//v107Nix2DPvhg0bsmTJEtLT01m3bp3kWmZmJhs2bKBnz57Y2dkxadIknj9/Xmh6KnfD6dOn+e677+jYsSOrVq0CIDU1lTVr1uDs7IyNjQ19+vTh8OHDADx8+BClUskvv/ySJ83x48fTu3dvIMdtmlvuDx06RP/+/WnXrh3dunVj1apVpKenAzBmzBj69Okjib9q1SpsbW158+aNGLZnzx6USiVRUVEIgsCePXv49NNPsbOzw9XVlfnz5xdomg8LCxNnwIsXL0apVIour+zsbLZt24a7uzvt2rWjd+/ebN68WeIGVD3TpUuXGD16NDY2Nty9ezffvNQtMYaGhmhpaeWZsQYGBqKnp8eoUaOoUaMGAQEBkuuqNU/r168X1+E5OjryxRdf8PLly3zzVX9WpVLJsWPHgP+5KcPCwvD09MTR0RFnZ2c2bdqEIAiSe/fv38+gQYOwtbXFxcWFr7/+mocPHwJFy/fw4cPp2bNnnjR9fX1RKpWiXMfHx7NkyRK6detGu3btGDx4MKdPnxbjq9qnv78/3377bYFjhfr6upLUV2RkJF988QWOjo7Y29szadIk7t27J15X9dMRERFMnjwZOzs7evfuzcGDB8W8nJ2dAfDy8srjSs6NKu22bdvmudagQQO6dOki/i6sP1cv/4QJE7Czs6NLly5Mnz4dOzs70UOQ+/2rULUD9fGwqLrIjboL6WNSYgq1xKhmjKGhoaSmpqKvr19oYvPmzcPKyoqRI0dy8+ZN9uzZQ6VKlUS/8K1btzA3N6dbt27o6ekRHBzM+vXrqVixIv379xfTuXr1Kvfu3aNXr164ubmhq6tLaGgoU6dOpUmTJowaNYo3b95w+PBhvvjiC3bu3Fmg+T4+Pp5Ro0aRlJSEu7s7BgYGHD9+nIkTJ7J27VqUSiWenp6sW7eOSpUqMXDgQCB/P3fz5s1xdXXFx8eHwYMHU6dOnQLj7t+/n2XLlonlTUlJ4fjx45w4cQIrKytJ3GfPnvHFF19gbm7O8uXL0dHR4eXLl4wYMQJNTU369euHvr4+/v7+TJw4kQMHDuDg4MDt27c5c+YMHh4eYhmysrKYOnUqz54949NPP8XIyIjw8HA2btzI0KFD0dPTy1PWou7R1dVl1qxZnD9/HhcXF8zNzblw4QLLli0jISGhQL//unXr2LJlCw4ODigUCmJjYzlx4kS+cdVJS0vj4cOHODg4UKtWLZKSkjhy5Ahffvkle/fupXr16mLcH3/8kQYNGjBkyBCio6PZt28fenp6zJs3D4CQkBBmzJhBo0aNGD16NBkZGZw6darIMhQHe3t7atasyd69e5k7dy7Pnj0jODiYjRs3ispBcWjZsiVNmzbl3LlzpKamiuFbtmyhXr169O/fn/j4ePbu3cuMGTPYsWNHkWnOmTMHa2trxo0bR+PGjcnOzubLL7/k2rVr9OrVCzMzMy5fvszixYupUKECnTt3pnHjxpw6dYqJEyeK6cTHx3PlyhWGDRuWbz4bN25k48aNdOrUiV69ehEVFcXevXvJyMjgq6++olWrVmzZsoXXr1+LnWJISAjp6emEhobSoUMHIEeJr1atGmZmZuzcuZNVq1bh5ORE3759ef78OX5+frRo0UKUOXXq1q2Lh4cH69ato3379tja2opm8eXLl7Nv3z46duyIu7s7N27cYN26dTx79kxsI5BjiZ0xYwaurq5069aNKlWq5Pu8JiYmkrUSoaGheeIEBgbStm1bDAwMaN++PQcPHpQ8v4qtW7diampKnz59SElJYfv27cyfP59ff/0137wLY9KkSdjb2zN+/HhCQkJYv349ZmZmouVszZo1bN++nTZt2jBu3DhevnyJn58fTZs2pW7dukXKd7du3fjxxx8JDw+nZcuWYr4BAQHUqFGD1q1b8+bNG8aOHcvLly/p3bs3xsbGnD9/npkzZ7J161aaNWsm3jdv3jxatmxZ4FiRH0XVV2RkJKNGjaJatWoMHToUQRA4evQoEyZM4NChQ6KVISsri9GjR+Pk5MSkSZM4ceIES5YsoX79+jRq1IhJkyaxdu1a7O3tsbe3ByjQfacaI8+ePUufPn3Q0tLKN15R/bmJiQnPnj1jzJgx6OrqMnjwYAwMDAgJCSEtLa24zUCkuHWhjmqCDjB69OgS5/nBEIrA09NTUCgUQs+ePYXVq1cL586dE5KTkyVxvL29BYVCIWzcuFESPnDgQKFfv37i7+zsbMn1zMxMwdnZWRg6dKgY5uLiIvTq1UuIi4sTw7KysgQ3NzfBw8NDyMrKEsNv3bolKBQK4cSJEwWWf/Xq1YJCoRD+/vtvMSwxMVFwcnISBg8eLMnXw8OjqOoQjh49KigUCuHixYuS8G+++UawtrYW03dwcBCGDh0qpKaminFSU1OF8PBwQRAEQaFQCIsWLRJev34t9OvXT3B3dxdevXolxl24cKHg5OQk/PPPP2LYmzdvBCcnJ2HJkiWCIAiCl5eXoFAohKioKDFOZGSkoFAohN27d0vKd+vWLSEzMzPfZyrqnrNnzwoKhULYtm2beC07O1uYOnWqYGNjI5ZRvQ6fPXsm2NraCt98840kzfzKnJvc7UQQBOGvv/4SFAqF8McffwiCIAgXL14UFAqFsHjxYiEjI0OMN23aNMHOzk4QhJx2079/f+HTTz8V3rx5I8a5cuWKoFAoBG9v7wLLoGLMmDFC7969JWHq73rLli2CnZ2dkJCQIKxdu1YYNGhQnjiCIAjr168XFAqF8Pz583zzWbZsmaBQKIQHDx4IUVFRgkKhEGbPni15th07duTb9tRRyeKOHTsk4b6+voJSqRTCwsIk4dOmTRP69u0rCIIgbN26VVAoFMKdO3fE6wcPHhQUCoUQGRmZpz6ioqIEa2trwcvLS5Lmzp07BWtrayEmJkY4f/68oFAohODgYEEQctqFQqEQ3NzchMWLF4v39OvXT/D09BQEQRCGDh0qkU1ByJGpR48eFfjcqjpTL8vdu3cFhUIhLFu2TBJXVdeq5xwzZozQoUMH4enTpwWmX1xu374tKBQK4dChQ4IgCEJISIigUCgEHx+fPGWdOnWqpF0uX75cUCgUEpnPjardHz16VBCE/7Ur9fQzMjKETp06CVOmTBEEQRAePXoktG3bVpg+fbqk/0xMTBRu3rxZLPl+8eKF0LZtW+HHH38U4yQlJQm2trbC6tWrBUHIkW1bW1vhwYMHknQGDRokTJ48WRCE4o8V6n1Jcetr/PjxQr9+/SR97osXL4R27doJW7ZsEQQhRy6VSqVEhuLi4gSlUim2k+fPnwsKhUJYv359ge9BRVZWljBixAhBoVAIffv2FdatWydcvHhRUgZBKF5//s033wiffPJJnnZubW0t9qO537+K3P1LcetCvY/6WClyd9KiRYsYNmwYqamp/P7770ydOpWuXbuydOlSyawR8prU6tSpw7Nnz8TfGhoaZGZmcu3aNfz8/Dhw4ADa2tokJCRI7jMzM8PY2Fj8fefOHZ48eUKnTp148eIFMTExxMTEYGxsjIGBAX///XeB5T9z5gyWlpYS64ehoSE9e/bk9u3bRZpvS8Nff/1FSkoKw4YNk1g+9PT0JBp9ZmYmX331Fa9fv+bnn3+mcuXKQM7CwMDAQD755BPS09PF501ISKBx48aFPq/KInXjxg2JebZJkyYFzhKKuufMmTNoaGhI/NSq3xkZGVy4cCFPmv7+/qSlpTFo0KBC6yo/NDQ0gBz35Llz5/D29hbNrvHx8ZK4uV2ddevWJTU1lfj4eG7fvs29e/dwd3cv0opYWtzc3BAEgQMHDnDkyBFxi2JJMTQ0BOD169diWP369SXPplp7U9j7V6E+6wU4deoUtWrVolatWmJ7iomJwcLCgocPH5KUlES3bt3Q0NDA399fvC8gIICGDRvSoEGDPHkEBgaSlZWFg4ODJM369euTlZVFREQELVq0QFNTkxs3bgBw/vx56tevj5ubG8HBwUCOm+vRo0e0atUKyHn/sbGxEpeuoaFhvlaYwjh37hxAnneiasfnz58Xw4yMjDAzMytR+vkRGBiIpqYm7du3B3Jc1RUqVMjjUgKwsrKStEvV86n3mcVFve/V1tbGzMxMTCcoKIjs7GzREqDC0NAQCwuLYsl31apVUSgUnDp1SnQpnTt3jrS0NLp16wbktLHmzZtTrlw5sS3ExsZiaWmZp80WNVbkR2H1lZCQQFhYGI6OjsTHx4v5Z2VlUatWLYkbX1NTU7Jg19jYGCMjo1LVu6amJmvWrMHd3Z3Y2Fg2bdrE+PHjcXJy4pdffiErK6tY/Xl2djZBQUHY2dmVuJ3npiR18V+gyN1JOjo6TJkyhYkTJ3Lr1i0uXryIt7c3Bw4c4PXr1yxdurTAe8uVKyf6xiFnB9Dy5cuJj49HV1eXGjVqEBcXV6Tv7cmTJwAsW7aMZcuW5bmeew2EOs+ePct30a2qw3r+/HmZ7RxQ8fTpUwDq1atXaLwTJ06QmZlJly5dJB1oXFwciYmJHDt2LI/vEyi0s61Xrx729vb4+flx7tw5WrVqhY2NDc7OzuJAWdJ7nj17RqVKlfKYIFXlyE/4VXVQGoFMT09nyZIl+Pn5kZWVhZGREZUqVQIodF0PIHZyaWlpb1WG4mJsbEyXLl3YsGED5cuXL/XCV1UbLmxHgGq3RmxsbInTf/LkCU+ePBH9/fnlb2JiQvPmzTl16hQeHh68fv2aixcvMn78+ALThJydeQWlaWhoSMOGDUUlJjg4GDs7OxwcHPj555+5e/cuKSkpZGVl0bp1awCGDBnC3LlzcXd3x8LCgjZt2uDi4pKvIlUYKiVIfRchFN5u35bAwEAaNGhAcnIyycnJQI4rIjQ0lJSUlHzN+CrKlSsHIOkzS4u+vr6oEKvkoH79+vnGLa58Ozk58d1333Hjxg2srKw4deoUdevWxcLCAshZQ5mWlpZvG1NNTAoi91hRHNTr68mTJwiCwJYtW9iyZUueuKoJYlnmr8LQ0JC5c+fy1Vdfcf36dUJDQ/H29mbLli1kZ2fz2WefFdmfx8fHk5iYWCZ91dvWxcdGkUqMCi0tLZo1a0azZs0YOHAgAwYM4NSpU8X21927d4/58+fToEEDfvjhB1q1aoWmpiYTJkwQO8OCUC3CGzdunCgw6qjv9iguQq4Fau+CogS3Zs2atG3blgMHDuDt7U2vXr2A/w3UnTt3xsXFJc99RVkVVqxYgb+/P6dPn+bq1aucPXuWffv2sXPnznzXxBR1T0F1VVgdqt5Z7gXhxWHDhg34+vrSr18/RowYQfXq1YmJiSlwAH4XZSgJ/fv35+jRo7i6upba4nPz5k0MDAwwNTUt0DqYmZlZ6jJmZWVRt25dvvjii3yvqyyf3bp1Y/ny5URGRnLr1i2ysrLEmXZ+aQL88MMP6Ojo5LneuHFjIMdadvLkSTIzMwkLC2PQoEHUr1+fmjVrcv78efT19UVlB6Br167Url0bX19frly5wo4dO9i9ezerV6/Gxsam2M/8PmRcnadPn4qLvN3d3fNcP3/+PF27dn2vZYKi66G48t2pUye+//57/P39adiwIcHBwXz++efi9ezsbFq3bl3g+ql3iarP7NevH7a2tnmuv4/twjo6OrRu3ZrWrVvTv39/3N3dOXr0qGiNLqw/V1nIyqKv+jfUxfuk0BoTBCHfgVhfXx8LCwuioqLE2UZRhISEkJWVxfz58/NVRArD1NQUyFk9XdKzNExMTMSZiDqqWZqJiUmJ0itKMVFP88GDBwXOfiCnc585cyY3b97khx9+oFmzZjRo0ABjY2P09fURBKHQ5y2oLNra2nTv3p3u3bsjCALr1q3jt99+48KFCwWmV9g9pqamhIaGijNrFYXVocq6FRsbW2Iz/fnz52nUqBGzZs0q0X2FleFd0qxZs3x3pxWXW7duERERQY8ePdDV1S0wnqodl+YQN1NTU+7cuYOdnV2Bi+AhR4FYuXIlp06d4tatWzRv3lyUv/zShBxLl0oByY/WrVuzd+9ejh07hoaGhug2srOz4/z585iZmYluJxUWFhZiPxEZGcmwYcM4ePBgiZQYlQXm6dOnkvKpDhcsqewXhWrB+Ny5cyXnNgmCwPz58wkICPggSozqPT18+JCmTZvme7048m1kZES7du0ICAigefPmpKamShRcU1NTUlNTP8h5R6pn1NPTe+v8i9PHqyhojKxcuTJ169bl3r17xe7P9fT0itxtq1JyCpvQlGVdfAwUuibmzJkzbNiwIY+ZLTExkfDwcOrWrVts05RqhqqeVlxcXJFbRiFnkKhSpQq7du3K4zpKTk4Wtwnmh52dHTdv3pT4ZJOSkjh27BiNGzcusStJNWNVX7uQG2tra3R0dNi5c6dkjUlqamqeU461tbVZvHgxGhoazJ49m9TUVLS1tbG1tSUoKChP/OzsbDEsv7JERkZK6kNDQ0NcD1TQmpii7rGzs0MQBMmWS9VvHR0drK2t86Spcg2cPHlSDMvKyuLRo0f5lkEdfX39PG3u5s2bRd6XG0tLS/T09CRrPIBCtxmWFhcXl1IdzvXo0SNmzZqFnp5egW4bFfv27ZOstygJ7du3Jy4ujj/++CPPtYiICPHvypUro1Qq8fPzIzQ0VNy6XFCakLMVNbeb7+nTp+JaN5XS8ttvv2FjYyN2xA4ODoSHh3Pp0iUxDpDnfTVo0IBy5coV2H4LQnVseu5nVrXj/Gapb0NgYCDm5ua4u7vTpUsX8V/Xrl1RKpUEBweXiauopKjqYdu2bRLryuvXr3nw4EGJ5Ltbt25ER0ezYcMGLC0tJe6P9u3bc/PmTc6cOZOnDOpt7F1QrVo1mjZtyuHDh/OMKRkZGZJjEIrCyMgIDQ2NQvt4FQcOHGDfvn152n90dDT379+nTZs2xe7PW7ZsSXBwsMQw8ODBA8k7U41Xd+7cEcNSU1NFdy2UbV18DBRpifHy8sLb25sOHTpQq1Yt4uLiOH78OP/880+Jvv1jb2+Pnp4eCxYswM3NjeTkZA4fPkxCQkKRnb+2tjYzZ85kzpw59O/fn+7du1O1alUePXqEv78/Hh4eBR4ANXz4cP78808mT54s2WIdHx9fqm8XWVhYoK+vz5o1a7h//z7x8fF5Bp/KlSszcuRINmzYwMiRI+nUqRMZGRn4+fnRvXv3PJaoOnXqMH36dBYvXswPP/zA/PnzmTx5MpcuXWLUqFE4OztTt25d/vnnHwICArCwsGDp0qW0bNkSDQ0N8byFuLg4FAqFeF6ElZUVb9684ciRI9SqVUtULHLz9OnTQu/R19enbdu2/PLLLzx69Ih69erx119/ceHCBcaNG5evIqtUKmnatCnr1q3j5cuXVK9eHX9//2IpI506dWLNmjV4enrSokULbt26lWdgKw7ly5enb9++7Nq1i5kzZ9KqVSuuXbtGYGBgkfc+fPiQsLAwXr58SXJyMvv370epVL71QWN+fn4YGhqSlJTE7du3CQoKQktLi+XLl+exeOzZs4f4+HhMTEzEcg8aNIhatWqVOF93d3eOHTvGihUrCAsLo0WLFuI258ePH0u2vnfr1o1FixahpaUlOeciNw0bNmTgwIHs2bOH4cOH4+DggL6+PtevXycoKIg9e/ZgZGRE1apVqV27Nk+ePJFs3VQoFOjo6PDs2TOJErN48WJ+++03HB0dMTQ0JCQkhNevX+drii+Mxo0b4+LiwsGDB4mLi6N58+Zcv36dgIAAXF1dadKkSYnSK4wXL15w48YNhg4dmu/19u3bExISQmhoaInX9rwtjRs3Fo+GSEhIoF27diQmJuLj48PEiRNxcXEptnw7Ojqir6/P/fv387gmhw8fTmBgIDNnzqRbt240btyY5ORkgoKC0NXVZevWre/0OWfMmMGECRMYNGgQLi4u1KxZk+joaPz9/enZsyeTJ08uVjp6eno0bdqUI0eOUK5cOVEJadGiRZ646enprFy5kt27d+Po6Ej16tWJjY3F19cXDQ0Npk+fDlCs/nzYsGFMmjSJsWPH4uTkRGxsLN7e3hIFqVatWrRp04YDBw5QoUIFdHR08PHxybO+q6zq4mOgUCWmXbt2LFy4ED8/P/78809ev36Nvr4+LVu2ZMWKFaLPuziYmJiwfPlyVq9eza+//kq9evWYNm0a3t7eRa6JAejSpQvGxsZs3bqVgwcPkpqaiqmpKS4uLoWazKpUqcLmzZtZs2YNhw4dIiMjAwsLCzw9PUv1raNKlSqxaNEi1q5dy+bNmzExMcl3Bj1mzBiqVq3K3r172bhxI+XKlaNt27Z07tw533Td3NwICQnB29sbpVJJz5492bZtGxs3biQoKIj4+HiMjY2xtrZmwIABQM4gMmvWLLZu3YqXlxeNGjVi1KhRDB48mKCgIIKCgtDT08PW1pYpU6aIC+Fy06pVqyLv+fHHH1m3bh3+/v74+flhZmbGrFmzCtyNo6mpycqVK8UjufX19XFycqJNmzZFnnMyePBg4uLi8PX15dy5c7Rr1441a9YUaanIjylTppCdnc2xY8cICQmhbdu2zJkzh++++67Q+/7++2/JIvJly5bxzTffvLUSs3btWjQ0NNDX18fExIQ+ffowZMiQfF0b9evXJywsjCdPnmBoaMiYMWNKfX6Drq6u6CL09/fn3Llz6Ovr07x5c7GjVdGpUyeWLVuGQqEo0tI6Y8YMGjRowMGDB8VBqkGDBkycOFGilLVq1YqnT59KrB96enq0bduWv/76S7KbasaMGXh7e7Nz507S09OpX78+y5cvL9UH6ebNm4eZmRm+vr6cPXuW6tWrM378eEaMGFHitAojMDAQQRAKtJK1b9+e77//noCAgPeuxEBOPdStWxdvb29+/fVXjIyMsLW1RalUoqGhUWz5LleuHA4ODpw6dSrPWiljY2O2bNmCl5cXZ86c4cSJExgaGtKmTRv69u37zp+xZcuW/Pbbb2zatIljx46RlJREtWrVcHBwKPH3vubPn8+SJUvYvXs3hoaG+R5mBzkHjero6HDy5EmOHDlCcnKyGH/y5MmiK7127dpF9uc2NjbMmzePzZs3s379epo0acKKFSuYMmWKJM+FCxfy3XffsWPHDipWrIibmxvp6emSRbxlWRf/djSE9736TUZGRkZGRqZYfPLJJ/To0eM/853CsqZYX7GWkZGRkZGRkfm3ISsxMjIyMjIyMh8lshIjIyMjIyMj81Eir4mRkZGRkZGR+SiRLTEyMjIyMjIyHyX/WSXm2LFjKJVKwsLCSnyvj48PSqVS/Ojgv523OS32/zKhoaEolUrJGSnvmg0bNqBUKos8mVNGRkZGpmje7UdlSoDqNMNx48a9tzyTkpLYuXMnCoWiVGfG/JfIzMyka9euJCYmMm/ePETLmzQAACAASURBVNzc3N5r/rGxsWzfvp0rV67w9OlTypcvj1KpZPLkyVSvXh3IUS4XLlxYYBpjxox5r+1HRkZGRubD8q9RYs6cOcORI0fe6yCUnJyMl5cXwP95JebixYskJiaipaVFQEDAe1diwsPD8fHxoXPnzvTo0YMHDx7g6+tLREQEu3btQk9Pj+bNm+Pp6Znn3qSkJNauXVvoN4FkZGRkZP57/GuUGJkPS0BAABUqVKBLly74+vrm+Rjcu8bCwoIjR46I34OCnNORt27dyrlz5+jcuTPm5ub5npjr5eWFhoYGHTp0eG/llZGRkZH58BQ5dXV1dWXChAn4+fkxYMAAbG1tGTBgQJ61Jvfv32fatGk4Ojri4ODAlClTuHv3riTO8ePHGTx4MPb29vTs2ZOZM2cSERHBggULOHLkCJBjEVEqlZKjkU+fPs2wYcOwtbWlc+fOLFy4kMTEREnahw8fpk+fPtjZ2TFw4EDxi7IFER0djbOzM5AzCKry9fHxEePExcWxePFiOnfujJOTEytWrJB80FFVN4GBgQwePBgbGxvxA5VnzpwRy9y1a1e+/fZb4uPjxXsLWseiSlOFIAj8/vvvuLq6YmdnR79+/Rg5ciRKpVL8yqyK27dvM2XKFOzs7OjduzcHDx4stA5UZGdnc+bMGezt7encuTMZGRmcPXtWEuddlFedWrVqSRQY+N+HA/P7CrmK5ORk9uzZg729PY0aNSrW8+aXxvfff0+XLl1wcHBgzpw5YvsaOnQoLi4u5N7Ed/jwYZRKJeHh4QWmm52dzebNm3F2dsbe3p7hw4fnWWd17tw5hg0bRteuXfnkk09wcnJi0aJFYjtavXo1SqUyTx08ffoUpVIpOWpcRkZG5v8axbK/h4WFsXr1atq3b8+IESN4/fo106ZN49WrVwA8fvyYkSNHcvv2bQYOHMhnn33GvXv3GD16tPh15MDAQObNm0eVKlWYMGECzs7O3L59m1OnTuHi4kLLli0B8PT0xNPTUxwYfXx8mDFjBhUqVGD8+PH06tWLU6dOMX/+fLF8hw4dYvHixVStWpVx48bh4OBQ5Jc6jYyMmDRpEpDzcUpVvs2bNxfjzJs3jydPnjBy5Eisra3Zs2cP27dvl6Rz9epVli1bhp2dHV9++SW6urr8+eef4vdoxowZg5OTE35+fowfP560tLTiVLnI2rVr+emnn2jQoAHjx4+ndevW3L9/P0+8rKwsRo4cSeXKlZk0aRKVKlViyZIlxVqcfO3aNV69eoWjoyNKpZIKFSoQEBBQonKWtLzF4eXLlwCFfr/njz/+ICEhgVGjRpUqD4Dvv/+eyMhIPv/8c7p168aff/7JkiVLgJyPIT5//pzr169L7vH398fMzCzfj8KpWLt2LevWraNJkyaMHz+e5s2b5/mC9oMHDzAwMKBv375MmzaN9u3b4+PjI8lflZ86J0+eRENDo9CvTMvIyMj81ymWO6l27dps3rxZnCm3a9eO4cOHs3//fsaNG8cvv/xCRkYGv/32m/ghOzc3N/r27csvv/zC8uXLOX78OEZGRvz000/i2oUxY8bw+PFjGjZsiLm5OdeuXePTTz8V801JSeHHH3+kV69eEqWlZcuWzJgxg+vXr1O/fn3WrVtH27ZtWbt2LVpaWgDUq1dPck9uDAwM6NGjB2vXrqVp06aSfP/++28g56usY8aMEcPv3bvHiRMnJANmtWrV2LZtm1g3mZmZrFy5ksaNG7N582Z0dHQAaN26NZ6enhw6dIiBAwcWp9qJjo5mx44ddO/encWLF4vh1atXZ/369ZK4Ghoa/PTTT+Lanh49etC1a1dOnDgh+UJwfgQEBKCrq4utrS3a2trY2dlx+vRpUlNT0dfXL1ZZS1re4uDr64uWllaBO6/evHnDzp07sba2xsrKqsTpqxg6dKio0ALo6Ohw4MABoqOj6dq1Kz/99BP+/v6igpuQkMDFixcZPnx4gWlGR0eze/duevfuzddffy2GGxoaiuuwAIYMGZLny8fJycmcOnWK1NRUmjZtSp06dfD3/3/s3Xl8lPW99//3LMksWSYJCdnYV4GwiIiAIqviUlxb083a1nPuc7fW09tz1/b0/tl6znm0d7U9dz1tPae29tSqrZW6gahsKqioiIggAUUUCJB9nySzZWau3x+BMSEBkpDJ5Epez8eDB8w118x85sskeee7XS93er2XX35Zs2fP7nLlawAYTnrUE5Obm9upq7+oqEh5eXn64IMPFIlE9NZbb2nx4sWdrsSbl5enyy67TG+//bYikYisVqt8Pp8+/vjj2DnJycmaNGnSGV/3nXfeUUtLi5YtW6aqqqrYn7Fjx0pqDxtvv/226uvrVVxcHAsw/eX0K5eOGTOmyyXPCwsLO7XNhx9+qNraWt1www2xACNJK1asUFZWlt58880ev/62bdsUiUT0la985ZznWq3WTpOTMzIy5PF4utTbnddee03z58+X2+2WJC1dulSBQEBvv/12j2vtbb3nsn79eu3Zs0ef//znY6uTTvf000+rsbFR3/zmN8/rtU4fhlq2bJmi0agOHDig3NxcXXjhhXrllVdiQ0pbt25VJBLR1Vdffcbn3Lx5s9ra2vSlL33prK9tsVgkSZ988ok2b96sp59+Wk1NTYpEIrEhrVWrVumjjz6KDSmdOHFCBw8ePOvrA8Bw0OeJvSNHjlR1dbUaGhrk9/tVUFDQ5ZzCwkIFAgE1NjaquLhYr7/+ur761a9q8uTJuvDCC3X11Vd3Gr453bFjxyRJd911V7f3t7S0KBQKSWrvLYo3l8sVe70zOTXv4/T2sFgsys/P71GoOOX48eOSFAttvdWTej/66COVl5frc5/7XOz1Ro8eHVultGzZsgGr95SDBw/q/vvv19SpU3XnnXd2e04gENCf//xnzZw5s99XluXk5EhSbC+XK6+8Uvfdd59KSko0c+ZMvfzyy5o2bVq3k4xPKSsrk3Tuz+VHH32kH//4xzp8+LBsNptycnJi866i0aik9hDz8MMPx3pjtmzZoqSkJK1cufJ83yoAmFqfQ0xbW1vst8gz6TgZcs6cOXryySe1du1a7d69W88884yeeuop/ehHP9J1113X7eNPfRP/53/+Z+Xm5na5f8yYMbG5Gx17PRLpbFdx6O0VHk79MEtOTj6vms7mVPv9/ve/1+9///tO973xxhsKh8Oy23v2MemPeisrK/VP//RPyszM1C9/+cszDmc999xzqqur0z333NPn1zqTjpO3JWnlypX6xS9+oS1btmj06NF699139d3vfveszxGJRGSxWM7adm1tbbrrrrsUiUT0k5/8RMuWLZPD4dDvfve7TkNO48aN05QpU7Rly5ZYiFm0aJE8Hs/5vVEAMLk+hZhwOKzy8nJdeOGFyszMlNPp7HYFSXl5uZxOZ2y4ZfTo0bHfrCsrK3Xbbbfpqaee0nXXXddtIDo13p+bm6vFixd3W8uIESMktW+WNmbMmF69j3OFsL441QNzentEo1FVVlZqypQpkiSbzaZIJKJoNHrG/U0yMzMltU9w7ThU15+2bt2qKVOmdBmS2bt3r/76179q586dWrRo0YDU29jYqDvvvFOGYei3v/1tt8FVkkKhkB577DFNmTLljJ+L83GqN+3U5ykjI0OXXHKJXnnlFY0fP15Se+/M2YwYMUKGYaimpuaMbXHw4EHV1NToe9/73jkn6F555ZV68MEH9dZbb+njjz8+7yE0ABgK+rQ72EsvvaSmpiYtWbJENptNCxYs0Pbt2zsNlVRWVmr79u1asGBBbGgiEonE7s/Ly1NOTk5sHsupoNPU1BQ7Z8GCBXI4HHrkkUe6DIvU19ersrJSc+fOldS+WqOjI0eOnPN9eDweWSwWeb3eXrbAmU2fPl1ZWVlat25dp5pfffVV1dfX69JLL5X02ZBFxzlCH3/8cadaTq3Y6rgyxTAMVVZW9kutR48e1ZEjR3TllVdq5cqVnf7cdtttslgs2rp1a7/XGw6HdfTo0U5Bz+v16o477pDP59NDDz2kUaNGnbHudevWqaamRt/4xjfO4913LxqN6umnn1ZKSkqnYaorr7xSVVVV+sMf/qCLL75Y2dnZZ32eU5/Ljm0RiURUWloau32ql6nj5yQcDne7sm7VqlWyWCz66U9/qpSUlLiENwAwmx71xOzZs0c//vGPNXXqVJ04cULPPvuspk+fHptY+K1vfUvvvPOOvvnNb8Z6VZ5//nnZbLbYUuk//OEP+vWvf62VK1dqxIgR+uCDD/TRRx/FdmA9tYLm+9//vhYsWKBQKKR/+Id/0Le//W098MAD+tKXvqQVK1bI4/Ho0KFDeuWVV3T//fdr0aJFWrZsmZ555hmFQiFNnDhRb731lt59991zvi+Hw6Fp06Zp3bp1crlcstvtWrRoUZ8a8hS73a4777xT//qv/6q/+7u/07Jly1RXV6dnn31WEyZM0I033iipffXQI488onvvvVfXX3+9jh8/rueff17hcDj2XAsWLNCkSZP04IMPqqqqSiNHjtTWrVvPujdJb5waSlqyZEmX+7KzszVt2jS99tpr+uEPf9iv9VZXV+vzn/+88vPzY/vy/Od//qcOHjyoW2+9VTt37tTOnTs7PebU6rFwOKxHH31UY8aM0YoVK8743p544gk1NzeruLi4y/4zp/vNb36jjz/+WBkZGXrzzTe1a9cu3X333XK5XLFzli5dKofDoaqqKn3rW9866/NJ0iWXXKIpU6bE2iInJ0ebN2/WwYMHY+eMHz9eEyZM0B//+Ef5fD65XC5t3Lix2wCen5+vmTNn6oMPPtDq1avlcDjOWQMADHU96okpKChQS0uL/vCHP+ill17SqlWr9Otf/zo23j9x4kQ9/PDDmjhxop544gn95S9/0YQJE/Twww9rwoQJktqDzpgxY/TMM8/oP/7jP3Tw4EHdc889sR9Ol112WWxfmYcffjj22+hXvvIV/fznP1dmZqaefPJJPfjgg/rwww/11a9+Nbas9t5779XVV1+tV155RQ8//LBGjBihO+64o0cN8OMf/1hTpkzRX//6Vz333HNd5kP0xerVq/Wzn/1MkUhEDz/8sDZs2KBVq1bpd7/7Xey377Fjx+qnP/2pQqGQHnzwQR08eFC//OUvO63Esdvt+tWvfqUFCxbo2Wef1R//+EeNGTMmtuLlfOfKbNu2TaNHj44NkZxuyZIlqq+v1549e+Je76n9cx5//HHdd999Xf6csn79elVWVurrX//6GYe1Ghoa9MADD+jll18+Z4CR2j+/W7du1W9/+1uVl5frBz/4gYqLizudk5qaqvnz58vhcPRosrPVatUDDzygSy65RM8++6wee+wxzZo1q9PyepvNpl/84heaOnWqHnvsMf3tb3/TihUruiy5PmX58uWSxKokADjJYpxjtunq1as1evRo/dd//ddA1YRzeOCBB7RmzRpt3769x5NuE2mg6924caPuueceff/739ctt9zSL88ZjUZ13XXXadasWbGN6Abaj370I+3atUsvvvgi14kCAPVxTgwGzuk9Q+FwWDt27FBRUdGgDDCDod6dO3cqJSUldlmJ/rBjxw5VVlYmrBekublZr776qlatWkWAAYCTBt9PQXRy9913y2q1atasWYpGo3rttdd0+PBh/epXv0p0ad0aDPXu3LlTn/vc55SSktJvz3nq4pQLFy7st+fsjQ0bNigYDDKUBAAdEGIGuenTp+ull17SO++8I4vFoilTpuiBBx447wnI8ZLoektLS1VVVaUvfOEL/facjY2Nev3113XDDTckrPdr3bp1mjBhgqZOnZqQ1weAweicc2IAAAAGIwbXAQCAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFi0CNlZWWJLsGUaLe+od36hnbrPdqsbwZLuxFi0CMVFRWJLsGUaLe+od36hnbrPdqsbwZLuxFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKdl7c3IgENCLL76oYDCoL3/5y7Hjhw4d0ubNm9XQ0KDMzEytWrVKkyZNit2/fft27dy5U36/X6NGjdLq1auVlZUlSTp+/LjWr1+vpqYmTZo0Sddff72Sk5MlSeXl5XryySd15513KikpqT/eLwAAGCJ63BPz2muv6f7771dJSUmn442NjVqzZo0uuOAC3X777Zo6darWrFmjpqYmSVJJSYm2bdumlStX6utf/7qSkpK0Zs0aGYYhSVq3bp0mTJigb3zjG6qsrNTOnTtjz/3KK69o8eLFBBgAANBFj0PMxRdfrDvuuEMXXHBBp+P79u2Tx+PRihUrlJ+fr5UrVyotLS0Wdvbs2aPZs2dr1qxZKiws1LXXXqvq6mqVl5crEAiorq5Oc+fOVV5enqZOnRq7MubRo0dVX1+vuXPn9uPbBQAAQ0WPQ4zb7VZ2drYcDken41VVVcrPz+90rKCgQJWVlZKkysrKTvd7PB6lpKSosrJS0Wi0vQirNfb3qWOvvPKKli5dKpvN1oe3BQAAhrpezYnpjt/vV0ZGRqdjTqdTDQ0NsftPDz4ul0s+n09ut1upqan65JNP5PF4dOTIEY0fP14HDx5UMBjUBRdcoLVr1+rw4cNKT0/XNddco4KCgi41lJWVDZrLgg9lu3btSnQJpkS79Q3t1je0W+/RZn0Tr3abN29ej8897xAjfdaTcsqp3pQz3R+JRGL/vuqqq7R27Vpt2rRJI0eO1CWXXKK//OUvWr58uXbu3Km6ujr94z/+o3bt2qXnnntOd9xxR5fXLywsVGFhYX+8FZzBrl27evXBQjvarW9ot76h3XqPNuudkBHVkVBAzfsODIp2O+8Q43K5FAqFOh0LBoNyu92x+4PBYJf7XS6XJGnGjBmaOnWqfD6f0tPTtW/fPtntdl1wwQXas2ePxo4dK7vdrkmTJmnTpk0KBAJyOp3nWzYAADgHwzB0PBzUTn+z3vU3a2+wRVFD+pdEF3bSeYeYvLw87dmzp9OxioqK2ITcvLw8lZWVxW43NTXJ5/MpLy/vsyLsdqWnpysajWrbtm269tprY/ed6tU51XtzalUTAADof63RiHYHWvSuv1k7/V5VRdq6nPNpskWLElDb6XocYsLhsMLhsCKRiKLRqAKBgOx2u4qKirRt2zZt3bpVM2bM0N69e+X1elVUVCRJmjNnjtauXauJEycqIyNDW7duVU5OTrfDP7t375bH49GECRMkSfn5+SopKdGsWbP0/vvvKzMzM9aDAwAAzl/IiOqTkD8WXPYHWxU5y/lWSVU2y0CVd1Y9DjHbt2/Xa6+9Frt9//33a8mSJVq6dKmKi4u1efNmbd++XVlZWSouLo5N9i0qKlJjY6M2bNggv9+v0aNHq7i4WBZL5wYIh8N644039IUvfCF27JJLLlFlZaUeeeQRpaen6/rrrz/f9wsAwLBlGIbKwyF9GPLpw2D7n09CfrXp7KMc2bYkzXel6WJnmi5ypurg+3vOev5A6XGIWbp0qZYuXdrtfZMnT9bkyZPP+NjLLrtMl1122dkLsdt11113dTrmdDpVXFzc0xIBAEAHzZHwZ4El5NNHQZ+aomfrZ2mXJItmO1N0sStNFzvTNS7J0aXzYTDol9VJAAAgsQzDUEU4pA+CrSoJtmpfoFXHwsFzP/CkMXaH5rnSNN+VptmOVDmtg//yioQYAABMKGIYOtIW0L5Aqz4Itqgk2KraSLhHj0232jTN4da0ZHfs7zSb+SKB+SoGAGAYChuGPgy2am+wVSWB9t6WViN6zsclyaKJya5YWJnucKvAnjwoh4d6ixADAMAgVRkOaae/Wbv8zXov0CxfD0KLx2rTTEeKZjpTVORI0aRkl5Itg39oqC8IMQAADBKBaFR7g6f2aGnW8R7Macm3J7eHFkeKZjlTNNo+OCfhxgMhBgCABDEMQ6VtQe0MNOtdv1d7A63nXO48Icmp2Sd7WWY6UpVjTxqgagcfQgwAAAMoEI3q/UCLdvi9eucMO+J25LHaTi51TtM8V5qybMM3tJyOEAMAQJyVtwVPhpZmvR9oOWtvi1XSDEdKbHO5yckuWYfJ8FBvEWIAAOhnbUZUHwRaY8HlXHNbRtqSdPHJPVrmOtOUarUNUKXmRogBAOA8RQ1Dh9sC2h1o0fuBZu0NtMp/lpVENkkzHSm6xJWuS1yDd0fcwY4QAwBALxmGoePh4MnQ0qI9gRZ5z7Gdf6bVrktcaVrgStdFLnpb+gMhBgCAczAMQ1WRNu0OtM9peT/Qorpz7I5rkXRBslsLXOm6xMXclnggxAAAcJqGSJsOhvw6GPS1/x3yqb4HW/oX2pN1oTNVFzpTNdeZpgwTbuVvJrQuAGBYa46EY0HlVHCpPsey51OybUknA0t7cMm1J8e5WnREiAEADBuGYag8HNLeYIv2Blr1XpZddSf29/jxHqtNc2KhJU2jhsg1iMyKEAMAGLIMw9CJcEh7Ay3aG2zRnkCrajv2stjOHECSLRZNTnZparJbU5Ndmupwa7TdwbyWQYQQAwAYMgzD0LFwsD20BFq1N3juCbiSZJdFE5Odmprs1pRkly5wuDUuySkbgWVQI8QAAEzPF41oU0uDnmuu7dFFEzOsds12piizql5XTb5A45OdQ/ZKz0MZIQYAYFplbUE911yrDS318p1lc7ksm12zHama7UzRHGeqxpy80vOu0lpNdbgHsGL0J0IMAMBUDMPQe4EWPdNco3f8zd1ehSjblqTZjhTNdrYHl9F2dsQdiggxAABT8Ecj2tzaPmRU2tZ1yChJFi1LydBNadmakuwitAwDhBgAwKBW3hbU2uY6vdRSp9ZuhoyybHZdn5qtz6VlKcuWlIAKkSiEGADAoGMYhvYFW/W0t1bb/U3dDhlNS3brpvRsLXF7lMSk3GGJEAMAGDTajKi2tTbp6eYafRzyd7nfLouWpnh0Y1q2pjtSElAhBhNCDAAg4ZoiYa1vqdO65lrVdrOvS6bVrtVpI3Rd6giNsDNkhHaEGABAwpS2BfSMt1abW+sVNLoOGk1Icurz6TlakZLBPi7oghADABhQYcPQe4FmPeut1c5Ac7fnLHCl6fNpOZrrTGWVEc6IEAMAiLuwYej9QIte8zXqDV+TvNFIl3OcFquuTMnUzenZGpPkTECVMBtCDAAgLnoSXKT2jeluSsvWtalZSrfxYwk9x6cFANBvehpcJKnI4dYNadla4s6QnSEj9AEhBgBwXgzD0IGQTxtb6vX6OYLLDIdbS90ZWuL2KMeePIBVYigixAAA+qQh0qYtrQ16qaW+28sAnEJwQbwQYgAAPRYxDO0KNOullnq96WvSmfpcCC4YCIQYAMA5VbQFtaG1XhtbGlQTaev2nHFJTl2dmqml7gyNJLhgABBiAADd8kcjetPv1Ust9Xo/0NLtOW6LVctSMnRNapamJbvZ0wUDihADAIjxRyN62+/Va74mveP3druLriTNdKTomtQsLXF75LLaBrhKoB0hBgCGuZ4Gl0yrXatSM3V1ahab0WFQIMQAwDDU0+Bil0XzXWm6OjVLC1zp7OeCQYUQAwDDyIFgq9Z4a84ZXOa5UrXUnaFL3R6lMlyEQYoQAwDDwLG2gP7QWKk3fE3d3k9wgRkRYgBgCKsJt+nRpkptaKlX9LT7CC4wO0IMAAxBLdGI/tpUrWeaa7oMGxXYk/Xl9JFakpJBcIGpEWIAYAgJGVGtba7Vn5uq1XzaNYwyrHZ9zZOrz6VlKcliTVCFQP8hxADAEBAxDL3rsOgXZR+p+rQddV0Wq4rTc/SF9By56XnBEEKIAQCTe9ffrP9qKNfRdLvUIcDYZdHqtBG61TNSmbakBFYIxAchBgBMqioc0n81lOv1blYcrXBn6JsZeSpIciSgMmBgEGIAwGTajKie8tbo8aZqBYzOa47mOVP1PzLzNTnZnaDqgIFDiAEAE3nP36xf1ZfpeDjY6fgYu0Oralv15dkTE1QZMPAIMQBgAjUnh462nTZ05LRY9TVPrj6fnq29FbsTVB2QGIQYABjE2oyonvHW6tGmqi5DR0vcHn07s0Aj7ckJqg5ILEIMAAxSu/3N+nVDmUrbOg8djbY7dGdWoS52pSWoMmBwIMQAwCDTHAnrNw3l2tLa0Om4w2LRrZ5cfSE9R8lsVgcQYgBgMHnH79W/1x1XbSTc6fhil0ffzipQHkNHQEzcQkx1dbU2bdqkEydOKDk5WVOnTtWVV16p5OT2L8BDhw5p8+bNamhoUGZmplatWqVJkybFqxwAGNRaoxH9tqFcL7bUdzpeYE/WP2YV6hJXeoIqAwavuPRHtrW16fHHH1daWppuv/123XDDDTp06JA2bdokSWpsbNSaNWt0wQUX6Pbbb9fUqVO1Zs0aNTV1f4l4ABjKdvubdXv5wU4BxiLp82nZ+mP+VAIMcAZx6YmpqalRS0uLLr/8cmVlZWnkyJGaM2eOPvzwQ0nSvn375PF4tGLFCklSfn6+Dhw4oJKSEl166aXxKAkABh1/NKKHGyv1XHNtp+P59mT9YMRozXamJqgywBzi0hOTlZUlh8Oh119/XaFQSJJUUVGhCRMmSJKqqqqUn5/f6TEFBQWqrKyMRzkAMOiUBFr19xUfdwkw16WO0H/nTyHAAD1gMQzDiMcTHz9+XI8++qjsdrsKCgpks9lUXFwsu92uxx9/XBkZGVq9enXs/Bde0HdYugAAIABJREFUeEENDQ269dZbe/1aZWVlqqio6M/yASAu2iRtSrHqdZdVhsUSO+6JGLqlOaIpbXH5lgyYxrx583p8blyGk9ra2rRx40atXLlSEyZM0Hvvvafdu3dr7969uuiiiyRJVmvnTqBoNNrdU/VIYWGhCgsLz6tmnN2uXbt69cFCO9qtb4Zqu30c9On/1h3rsu/LVSmZuiOrUKlW23k9/1Btt3iizfpmsLRbXELM/v375fV6tWDBAknS1VdfLY/Ho02bNunCCy+Uy+WKDTOdEgwG5XZzwTIAQ9Prvkb9tPaYQh06v7Nsdn0va7QWupm4C/RFXObEBINBhcNhRSKR2LGMjAxFo1EZhqG8vDyVlZV1ekxFRYVyc3PjUQ4AJNQz3hr9S01ppwCz3J2hP+ZPJcAA5yEuIWby5MmKRCJat26dKisrdeTIEW3dulUzZsyQzWZTUVGRGhsbtXXrVlVXV2vLli3yer0qKiqKRzkAkBBRw9BvG8r1YEO5TsWXZItF92SP0Y9yxspjY79R4HzE5SsoKytLX/nKV/Tyyy/rkUcekdPp1IwZM7Rs2TJJ7b0yxcXF2rx5s7Zv366srCwVFxcrIyMjHuUAwIALGVH9rPZYp6tOp1tt+mnOeBU5UxJYGTB0xO3XgLFjx+r2228/4/2TJ0/W5MmT4/XyAJAw3khYP6o5qg+CrbFj+fZk3TdyvMYkORNYGTC00JcJAP2oMhzSP1cf7rQCaUqySz8bOV5ZtqQEVgYMPYQYAOgnh0I+/XP1EdV3uHjjJa403Zs9Vq7zXD4NoCtCDAD0g51+r/6lplR+47M9r65NzdJdWaNk67CpHYD+Q4gBgPP0Ukud/l/dCXXcsvObnjx91TNSFgIMEDeEGADoJV80oqNtAR0JBVQSbNXG1obYfTZJ3xsxWlelZiWuQGCYIMQAwBmEjKiOtQV1JBTQkTa/jpwMLlWRtm7Pd1us+teccZrnShvgSoHhiRADAB20RCN6tLFS7/ibVRYOqqdXdRths+u+kRM0KdkV1/oAfIYQAwAn7fB79f/qjqu2w+qiM7Gofe+X8UlOTUl263NpWSyhBgYYIQbAsNcSjeg/68s6zW3pKNuWpPFJTo1Pdrb/neTUmCQHy6aBBCPEABjW2ntfTqi2wzwXi6Qb0kZomTtD45KcSuMaR8CgxFcmgGHpTL0vBfZk/WDEaM1ypiaoMgA9RYgBMOycqfflprRs/V1GvpxWa+KKA9BjhBgAwwa9L8DQQogBMCy84/fq3+l9AYYUQgyAIS1kRPVQQ7mea67rdJzeF8D8CDEAhqxjbQH9W02pPm0LxI7R+wIMHYQYAEOOYRja2NqgX9eXKdDhqtJ5tmT9MJveF2CoIMQAGFJaoxH9su6EXvU1djq+1O3R/x4xWqlsUAcMGYQYAEPGh0GfflJbqvJwKHbMYbHozsxCXZOaJYvFksDqAPQ3QgwA04sahv7mrdEfGisU6XB8QpJTP8oeq3HJzoTVBiB+CDEATK0+0qb7ao/r3UBzp+PXp47QtzIL5GDyLjBkEWIAmNYuf7P+b+0xNUQ/u+p0qtWm748YrcVuTwIrAzAQCDEATGljS71+XndcRodjRQ637skeq1x7csLqAjBwCDEATGe3v1n/3iHAWCR91ZOr2zy5sjF5Fxg2CDEATOVYW0D31pbGJvC6LVb9ZOR4XcjeL8Cww4w3AKbRFAnrh9VH1BJtjzBWSffmjCXAAMMUIQaAKYSMqO6pOdJpD5g7swo135WewKoAJBIhBsCgZxiGfl57XCVBX+zYzWnZuiEtO4FVAUg0QgyAQe+xpiq90uEyAgtd6fpWZkECKwIwGBBiAAxqW1oa9KemqtjtSUlO/Sh7DKuQABBiAAxe+wIt+kXd8djtbJtd/3fkeLm4iCMAEWIADFJlbUHdU3NUbSd3g3FarPppznjlsJEdgJMIMQAGHZ9F+mH1EXlPLqW2SPr/ssdoisOd2MIADCqEGACDSpsR1WPpNh0PB2PH/mdmgS7jWkgATkOIATBoGIahB+rK9GnyZ9+arksdoS+wlBpAN7jsAIBBwRsJ68GGcm1pbYgdm+dM1Z1ZhbKwEglANwgxABLKMAxt8zXpN/VlaoiGY8fHJTl1b8442QkwAM6AEAMgYWrCbfqP+hN6y+/tdDw7bOhnheOVylJqAGdBiAEw4KKGoRda6vX7hnK1GtHYcaukL6TnaNan5cqbyFJqAGdHiAEwoE60BfXvdce1N9ja6fiEJKe+P2K0pjrc2qXyBFUHwEwIMQAGRMQw9Ddvjf7UVKmQYcSOJ8mir2Xk6ovpI5n/AqBXCDEA4u5QyKdf1J3QoZC/0/GZjhR9b8QojUlyJqgyAGZGiAEQN21GVI81VukJb7WiHY67LFb9j8x8XZc6QlZ6XwD0ESEGQFx8EvLrZ7XHdLgt0On4Alea7soapZFcAwnAeSLEAOhXEcPQE03VeqypSmF9NvfFY7XpzqxCLXdnsHkdgH5BiAHQb46GArqv7pgOnjb3ZbHbo7uyCpVpS0pQZQCGIkIMgPMWMQw97a3RfzdWqq1D70uq1aZ/zCzUyhR6XwD0P0IMgPNS1hbUfXXHVBL0dTp+iStN38sarWw7vS8A4oMQA6BPooahdc11+n1jhQIddt11W6z6dmaBrknNovcFQFwRYgD0Wk04pJ/VHdf7gZZOxy90pur7I0Yrj5VHAAYAIQZArzRHwvpfVZ+qPByKHXOe3PflevZ9ATCACDEAeixqGPpp3bFOAabI4dY/jxijwiRHAisDMBzFNcRUVVVp27ZtKi0tVSgU0s0336xp06ZJkg4dOqTNmzeroaFBmZmZWrVqlSZNmhTPcgCcp8eaqvSOvzl2+3OpWfpfWaNko/cFQALELcScOHFCTzzxhBYuXKjFixfLbrfL5XJJkhobG7VmzRotXLhQ06dP1/79+7VmzRp95zvfkcfjiVdJAM7D2z6vHm2qit2e4XDrH7MKCTAAEiZuIWbDhg1avny55s2b1+W+ffv2yePxaMWKFZKk/Px8HThwQCUlJbr00kvjVRKAPiprC+qntaWx25lWu/4le5ySLNYEVgVguItLiGloaFB5ebkKCgr061//WsFgUGPGjNG1116r1NRUVVVVKT8/v9NjCgoKVFlZGY9yAJwHfzSiH9UcVevJZdQ2Sf+SM5b9XwAkXFxCTHV1tSwWi1JTU3XzzTcrEAho48aNeuqpp/SNb3xDfr9fGRkZnR7jdDrV0NDQp9crKytTRUVFf5SOs9i1a1eiSzAlM7ebIemJNJuOOD/rcflcc0Shmo8U73dl5nZLJNqt92izvolXu3U3gnMmcQkxwWBQNptNS5YsiR278sor9cQTT8jr9UqSrNbO3dDRaFR9VVhYqMLCwj4/Hue2a9euXn2w0M7s7fa0t0Z7Gspjt1emZOi7Y8bEfRM7s7dbotBuvUeb9c1gabe4DGgnJycrHA4rHA7Hjp3qefH7/XK5XAqFQp0eEwwG5Xa741EOgD7YE2jRbzsEmIlJTv3vrNHswgtg0IhLiMnLy5MklZZ+NhGwrq5OVqtVGRkZysvLU1lZWafHVFRUKDc3Nx7lAOilmnCb/q2mVKf6R1OtNv1bzjg5rUzkBTB4xOU7UkZGhqZOnaqXXnpJR48eVWlpqV5++WXNnz9fDodDRUVFamxs1NatW1VdXa0tW7bI6/WqqKgoHuUA6IWQEdW/1BxVQ7S9J9Ui6Z7sMSpgMzsAg0zclljfeOON2rRpk5566ilZrVbNnj1by5Ytk9QecoqLi7V582Zt375dWVlZKi4u7jLZF8DA+8/6ch0IfXZF6q978nSJKz2BFQFA9+IWYhwOh6677roz3j958mRNnjw5Xi8PoA82tNTr+Za62O1FrnR91TMygRUBwJkxwA1AknQw6NMDdSdit0fZk/XD7DFc0BHAoEWIAaCIYeintcfUJkNS+1Wp/y1nnFKttgRXBgBnRogBoE9Cfh0PB2O37x4xSuOTXQmsCADOjRADQLsCn12ZerTdoeUpmQmsBgB6hhADQO8FWmL/vsiVmsBKAKDnCDHAMBeIRlUSaI3dvsiZlsBqAKDnCDHAMPdBsCU2odcqaY6TnhgA5kCIAYa53R2GkqY53KxIAmAahBhgmNvl/2xSL0NJAMyEEAMMYw2RNn3aFojdvoihJAAmQogBhrGOQ0kui1XTHSkJrAYAeocQAwxjHYeSZjtTZOcSAwBMhBADDFOGYXTqiWE+DACzIcQAw9TxcFDVkbbY7XmEGAAmQ4gBhqmOu/Rm2+wam+RIYDUA0HuEGGCYeq/DfJi5zjRZmA8DwGQIMcAwFDEM7ek0H4al1QDMhxADDEMfhXxqNaKx20zqBWBGhBhgGOq4tHp8klMj7EkJrAYA+oYQAwxDuxlKAjAEEGKAYcYXjWh/sDV2+yIXQ0kAzIkQAwwzewOtipz8t10WzeZSAwBMihADDDPvBT6bDzPd4ZbLaktgNQDQd4QYYJjZ1SHEsEsvADMjxADDSG24TaVtwdjti1xM6gVgXoQYYBjpOJSUYrFqarI7gdUAwPkhxADDSMfrJV3oTJWNSw0AMDFCDDBMGIbRqSeGpdUAzI4QAwwTR9sCqo+EY7eZ1AvA7AgxwDDRcSgp15akQntyAqsBgPNHiAGGiV2nDSVZmA8DwOQIMcAw0GZEtTfQ4VIDXC8JwBBAiAGGgQNBnwJGNHZ7LvNhAAwBhBhgGOi4KmlysksZNnsCqwGA/kGIAYaB9/yfTeqdy1ASgCGCEAMMcS3RiD4K+WK3WVoNYKggxABD3PuBFp2aDZMki2Y6UhJaDwD0F0IMMMS95/9sPsxMZ4ocVr7sAQwNfDcDhriOk3oZSgIwlBBigCGsMhzSiXAodptJvQCGEkIMMIR1HEpKt9o0OdmVwGoAoH8RYoAhrOP1ki50psrKpQYADCHseAUMQVHD0LuB5k7XS2I+DIChhhADDCENkTZtbGnQ+pY6VXSYCyNJ81yEGABDCyEGMDnDMLQv2Kp1zXV63deksIwu51ziTFOePTkB1QFA/BBiAJNqiUa0paVBz7fU6WhboNtzZjjcuj41W8tSMga4OgCIP0IMYCKBaFQfhnx6pbVBr7Q2droy9Skui1VXpGTqurQRmshqJABDGCEGGMSaImGVBFu1L9iqfYFWfRzydztcJEkTk5y6Li1bK1My5LbaBrhSABh4hBhgkDAMQ1WRNu0LtOqDYIv2BVtV2hY862OSZNGylAxdnzZC05LdsrCEGsAwQogBEihiGNodaNGrrQ16L9CimkjbOR9jlTQx2aWVKZlalZIpj40vYwDDE9/9gAEWPbma6NXWRr3ma1RTNHLW85MtFk1LdmuWM0VFjhTNcKQoheEiACDEAAPBMAx9FPLr1dYGbfM1qfYsPS5pVptmOlLa/zhTNCXZpSQLm2sDwOkIMUCcGIahcpv0cEOFtvoau2w+11GRw62l7gzNdaZpbJKDywMAQA/EPcREo1E9++yz2r9/v+6++2653W5J0qFDh7R582Y1NDQoMzNTq1at0qRJk+JdDhB3hmFoh79Z/91YoU+zkiRvdbfnTUl2abk7Q0tTMpTLRnQA0GtxDTGGYej5559XRUVFp+ONjY1as2aNFi5cqOnTp2v//v1as2aNvvOd78jj8cSzJCCuPgn59duGcu3ucOHFjsYmObTCnallKRkaleQY4OoAYGiJW4gxDEMvvPCCWltbdc011+jPf/5z7L59+/bJ4/FoxYoVkqT8/HwdOHBAJSUluvTSS+NVEhA3teE2/bGxUhtb67vs4lJgT9Zyd4aWp2RoPJvPAUC/iVuI2bhxo+rr6/XlL39ZZWVlne6rqqpSfn5+p2MFBQWqrKyMVzlAXPijEf3NW6MnvTVdds+dmOTU8poWfWnWLPZvAYA4iEuI2bZtm8rLy3XrrbcqKSmpy/1+v18ZGZ2v5eJ0OtXQ0NCn1ysrK+syZIX+t2vXrkSXMGhEJb3nsGhjik1eW+eAkh4xdFVrRBcFm2WV9N577yWkRrPj89Y3tFvv0WZ9E692mzdvXo/PjUuIOXr0qMrLy/Xzn/9cUvvQkiT98pe/1K233ipJslo7LxmNRrteA6anCgsLVVhY2OfH49x27drVqw/WULbb36zfNZTrk9Muuui0WPXF9Bzdkp4j18l9XGi3vqHd+oZ26z3arG8GS7vFJcTceOONamv7bB+MsrIyrV27Vl//+teVm5srl8ulUKjzctNgMBhbuQQMRkdDAT3cWKG3/N5Oxy2SVqVk6vaMfGXbu/Y8AgDiIy4h5vQVRi0t7Ss1srKylJSUpLy8PO3Zs6fTORUVFZo7d248ygHOS3U4pEcaK7W5tUGn9xfOdabqW5kFmsSEXQAYcAnZ7K6oqEjbtm3T1q1bNWPGDO3du1der1dFRUWJKAfoljcS1hPeaj3rrVXbaWuOxtgd+p+ZBVrgSmPSLgAkSEJCTEZGhoqLi7V582Zt375dWVlZKi4u7jLZF0iEYDSqZ5tr9YS3Wi2nXdco02rXbRm5ujZ1hOyEFwBIqAEJMePGjdO9997b6djkyZM1efLkgXh5oEcihqGNLfX6U1NVl2sbuS1WfckzUjenZccm7QIAEotrJ2HYMwxD2/1e/aGhQsfCwU73Jcmi69NG6KueXHlsfLkAwGDCd2UMW4ZhaHegRY80VWp/0NfpPouklSmZ+mZGnvK4rhEADEqEGAw7hmHo3UCzHmuq6hJeJOkSV5r+PiNfE1lxBACDGiEGw4ZhGHon0KzHGqv0YahreJmW7Nb/yMzXHGdqAqoDAPQWIQZDnmEYetvv1WNNVToY8ne5f1KSU1/LyNNlrnSWSwOAiRBiMGQZhqE3T4aXQ92El8nJLt3mydUiwgsAmBIhBkNO1DC03d+kxxqr9Olp1zeSpKnJLt3myWOjOgAwOUIMhoxgNKrNrQ16yluj46ctlZba57zclpGr+U7CCwAMBYQYmF5TJKy1zbVa21ynxmi4y/0zHG7d5snTPGcq4QUAhhBCDEzreFtQT3trtLG1XiHD6HL/LEeKvubJ1VzCCwAMSYQYmIphGCoJtmqNt0Zv+b06PbpYJS12e3RLeo6mO1ISUSIAYIAQYmAKYcPQm74mrfHWdLvHi9Ni1TWpWfp8WrbykxwJqBAAMNAIMRi0woah3YFmveZr0nZfk7ynXVFakkbY7LoxLVurU0conWsbAcCwwnd9DCo9CS6SND7JqVvSc7Q8JUPJFusAVwkAGAwIMUi4ngYXSbrImapb0nN0McukAWDYI8QgIdon6Pq0sbX+nMFlpiNFS9weXe7OUI49aQCrBAAMZoQYDKiQEdWrrY16trm220sBnEJwAQCcCyEGA6Im3Kb1LbVa31zf7YZ0EsEFANA7hBjEjWEYOhDy6VlvrV7zNaq7AaMJSU5dnZqlJQQXAEAvEWLQ70JGVNtODhkd7GbIyCrpUpdHN6Vna7YjhQm6AIA+IcSgX4RP7qT7ls+rl1sb1NDNkFGq1aZrU7N0Q1q28uzJCagSADCUEGLQZ82RsHYGmvWWz6udgWa1nGGF0dgkh25Ky9EVKRlyWW0DXCUAYKgixKBXTrQF9Zbfq7d9Tfog2KroGc6zSFroStdNadlcgBEAEBeEGJxV1DC0P+jTCylW/absIx0LB896/pRklxa50rUyJVOFXMMIABBHhBh0ETYM7Q206HVfk7b7m1QfCUtum9RNgEm2WHSRM00LXela6EpXNiuMAAADhBADSe0rit7zt+h1X6Pe8nvPuoPuCJtdC1zpWuRK11xnmpxWrl0EABh4hJhhzB+NaKe/Wa/7mrTD75XPONMMFyk/bOiKEXla5ErX5GSXrMxxAQAkGCFmiIoahhqjYdVHwqqPtKkuElZdpK3Tvw+F/AoZxhmfY1qyW5e7PVrs9qhi7z7Nm5g3gO8AAICzI8SYWCAa1fFwQKVtQZWGAioNB1UVDqk+0qb6SPiMK4fOxKr2rf9PBZecDnu5VPRr5QAAnD9CjAm0RCMqbQvoaCigY+GgStsCKg0FVRUJ6cz9KD1jkzTXmabL3R5d6k5Xpo2JuQAAcyDEDBLNkbDKwiGVhYMqawupPByM/bu73W97I8Vi1QhbkkbYkpRps5/8t1159mRd5EpTKhvQAQBMiBAzgILRqI6FAzoSCuhEOKSytqDKw0GVh0NnXQ10Ltm2JI1NcmhMklOj7MmxwDLCZleWLUkOVg8BAIYgQkwcRAxDJ8JBHQkFdKSt/c/RUEBl4WCv56mcYpWUZ0/WuCSnxiQ5NPbk32OSnPSkAACGJULMeTIMQ0fbAtrhb9bhNr+OhAI61hZUWx9nq4y0JanAnqzCJIcK7Q4V2JM1Ksmh0UkOJVvoUQEA4BRCTB8YhqGPQ3697mvSG74mHT/HVvynG2lL0piTIaUwqT2oFNodyrcnM/QDAEAPEWJ6KGIYOhBsjQWXqkjbOR/jsdo0IcmlcclOjU9q/zMumeEfAAD6AyHmLLq9htAZ5NqSdJErTeOTnJqQ5NT4ZCfLlQEAiCNCzFncW3NUb/m9Z7x/tN2hy90eXe72aHKySxa24gcAYMAQYs5injOtS4iZlOTUYneGLnd7NC7ZmaDKAAAAIeYsLnN79GBDmS44eQ2hy9weFSY5El0WAAAQIeascuxJembUDGXYaCYAAAYb1vOeAwEGAIDBiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMKW4XBnr++edVWloqr9ertLQ0LViwQPPnz4/df+jQIW3evFkNDQ3KzMzUqlWrNGnSpHiVAwAAhpi4hRifz6dVq1YpKytLn376qTZs2KCsrCxNmjRJjY2NWrNmjRYuXKjp06dr//79WrNmjb7zne/I4/HEqyQAADCExC3EfPGLX4z9Ozs7W3v27NHRo0c1adIk7du3Tx6PRytWrJAk5efn68CBAyopKdGll14ar5IAAMAQMiBzYgzDkN/vl8vlkiRVVVUpPz+/0zkFBQWqrKwciHIAAMAQELeemI5KSkrU3Nys6dOnS5L8fr8yMjI6neN0OtXQ0NCn5y8rK1NFRcV514mz27VrV6JLMCXarW9ot76h3XqPNuubeLXbvHnzenxu3ENMdXW1XnzxRV1xxRXKzMyMHbdaO3cCRaPRPr9GYWGhCgsL+/x4nNuuXbt69cFCO9qtb2i3vqHdeo8265vB0m5xHU5qaGjQX/7yF1188cVasGBB7LjL5VIoFOp0bjAYlNvtjmc5AABgCIlbiKmtrdWf/vQnzZw5MzaB95S8vDyVlZV1OlZRUaHc3Nx4lQMAAIaYuISYxsZGPfLII5oyZYrmzZunxsbG2B9JKioqUmNjo7Zu3arq6mpt2bJFXq9XRUVF8SgHAAAMQXGZE9PY2Cifz6ddu3Z1mfhz7733KiMjQ8XFxdq8ebO2b9+urKwsFRcXd5nsCwAAcCZxCTHjxo3Tvffee9ZzJk+erMmTJ8fj5QEAwDDAtZMAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIAp2RP1wi0tLXrhhRd0+PBh2e12zZkzR1dccYUsFkuiSgIAACaSsBCzdu1aBQIB3XrrrfL5fFq7dq1SU1O1aNGiRJUEAABMJCHDSc3Nzfr000+1atUqjR49WlOnTtWCBQv0/vvvJ6IcAABgQgnpiamqqpIk5efnx44VFBRo27ZtCofDstt7V1Zzc7O8Xm+/1ojOqqurVVZWlugyTId26xvarW9ot96jzfomnu1WWFjY43MTEmJ8Pp+sVmunsOJyuSRJfr9faWlpvXq+Rx99VGvWrOnXGgEAwMB74403enxuwubE2Gy2Trej0Wifn+u2227TjTfeeL4l4Sz27t2r2bNnJ7oM06Hd+oZ26xvarfdos74ZLO2WkBDjdrvV1tamSCQSCzOBQECS5HQ6e/18aWlpve69Qe9UVFT0qosP7Wi3vqHd+oZ26z3arG8GS7slZGJvbm6uJKm8vDx2rKKiQiNGjFBSUlIiSgIAACaTkBCTlpamSZMmadOmTaqsrNTBgwe1Y8cOzZkzJxHlAAAAE0rYnJjrr79eL7zwgv77v/9bSUlJmjNnDnvEAACAHktYiElNTdUXv/jFRL08AAAwOa6dBAAATIkQAwAATIkQAwAATIkQAwAATIkQAwAATIkQAwAATIkQAwAATIkQAwAATIkQAwAATMliGIaR6CIAAAB6i54YAABgSoQYAABgSoQYAABgSoQYAABgSvZEFzCcPfvss9q3b58kKScnR9/+9re1Z88evfTSS/o//+f/dDq34/HGxkb96le/0t///d+roKAgdk5LS4sefPBBXXbZZbrssstixyORiB566CFNnDhRV111VZc6XnnlFX300UdqamqS2+3WnDlztGTJElksFtXV1WnTpk2qrKyU3+/XiBEjdPnll2v69Ok9eo+GYWj9+vUqLS2V1+tVenq6Fi5cqHnz5sXOOXjwoF5++WU1NDQoKytLq1at0sSJE2P3R6NRffjhh3r66af1gx/8QE6nU5K0e/dD7yqvAAAgAElEQVRurV+/vtvXveuuu5Senn7O+gbL/8GmTZv0ySefqLGxUU6nU9OmTdOqVatks9kkScePH9eGDRtUXV2t9PR0LV26VLNmzTrn+xtoDz30kKqqqjq1y5/+9CeNHDlS11xzTadzTz8eDof19ttvq6SkRHV1dbLb7Ro5cqSmT5+uefPmyW7v2berUCikN954Q/v375fX69WUKVN0yy239O8bPU+DoZ2i0agOHjyov/3tb7r77rvldrtjx9evX69jx47J6/UqJSVFs2fP1tKlS2WxWPqxFfqmu7aLt5KSEu3YsUO1tbWy2Wyxr+NTbdbS0qIXXnhBhw8flt1u15w5c3TFFVcMivaSEv95O1v77dmzR+vWrev2cd/97neVkZFx1ucmxCTQVVddpeXLl2vHjh06fPjweT9famqqli1bpldffVWzZs2K/RB/++23FQwGtWzZsm4f5/V6tXz5cuXk5Ki8vFzPP/+80tPTNXfuXDU1NSk3N1eLFy+W0+nU7t279cwzz6iwsFAej+ecNRmGoUAgoKuuukqZmZk6dOiQXnzxRWVlZWnChAlqaGjQU089pUWLFmnatGnat2+f1qxZozvvvFNpaWmqr6/Xb37zm26fu6ioSBMmTOh07NChQ9q0aZOSk5N71GaD5f+gtbVVK1asUHZ2turq6vTcc88pLS1NixcvViAQ0F//+ldNmzZNq1ev1pEjR7R27Vrl5OQoPz//vGvuL7W1taqqqlJmZqZKSkp69QMmEono8ccfV1NTk1asWKH8/Hz5fD4dPnxYr7/+uiZNmqTs7OwePc9jjz2mlJQUrV69WmlpaYpEIufztvrdYGinUyG8O+FwWOFwWFdffbUyMjJUVlam9evXKysrS7Nnz+5xrfFwPm13Purq6jR79myNHTtWra2tWr9+vTZs2KCbb75ZkrR27VoFAgHdeuut8vl8Wrt2rVJTU7Vo0aIBqe9sBsPn7WztN336dI0bN67T+Z9++qk2bNggh8NxzucmxCSQ2+2W2+2O9Sz0h4svvljvv/++tmzZoptvvllNTU16/fXXdf3115/xA3HjjTfG/p2dna39+/ertLRUc+fO1YQJEzoFhcWLF2vHjh2qr6/vUYixWq2dfgvOzs7Wnj17dPToUU2YMEEffPCBMjMztXz5cklSfn6+Dhw4oJKSEi1cuFAej0d33HGHjh8/rueff77TcycnJ3cKK4Zh6L333tNFF13U4zYdLP8HN910U+zf2dnZGjt2rOrq6iS191RFIhFde+21slqtys/P18cff6w9e/YMqhBTUlKiUaNGafr06dqxY0evfhPdsWOHysrKdMcddygzMzN2fMyYMb3qXXjvvfdktVr1xS9+cdD8Fny6wdBOaWlpuuOOO1RWVqa1a9d2ui85OTn2w1lq/zye+i060c7Udqf3Hvh8Pv3iF7/QbbfdpnHjxsnv9+uFF17Qxx9/LIfDofT0dNXW1nbpbT2TJUuWdLo9f/58vfnmm5Kk5uZmffrpp/rmN7+p0aNHS5IWLFig999/f1CEmMHweTtb+53p+/iFF14ol8t1zudmTswQY7Vadc0116ikpESlpaXatGmTxo4dqxkzZvT4OXw+X7c/1IPBoLZv366cnJzYF2tvGYYhv98f+3BWVVV1+UFcUFCgyspKSZLNZlN2dnaPAlNJSYnq6+u1ePHiPtXWX87n/yAajerw4cM6fvx4bLioqqpKubm5slo/+3LNz8+PtdFgsX//fk2fPl3Tp0+X1+vV8ePHe/zYffv2adasWZ2+UZ6Smpra45C5f/9+uVwu/fGPf9T999+vhx56SIcOHepxHQNhMLRTT7+uotGo9u/fr8bGRhUVFfW4znjpa9utWbNGXq9Xt912m770pS8pKyvrvOro+D2yqqpKkjp9HysoKFBtba3C4fB5vU5/GAyft9Od6WeMJB04cEA1NTW6/PLLe/RchJghaMyYMZo9e7aefvppHTp0qMuY59mUlpbqxIkTXb5hvfzyy7rvvvv00Ucf6ZZbbulxAj/dBx98IJ/Pp2nTpkmS/H5/l94Jp9Mpn8/Xq+eNRqPatm2b5s+fr9TU1D7V1p/68n9QU1Ojn/zkJ/rLX/6iZcuWxXrAumsjl8vV6zaKp8rKStXW1mrGjBnyeDwaNWqUSkpKevz4uro6jRw58rzrqK6uViQS0ZIlS/S1r31NBQUFevLJJwdFL4I0eNqpJz799FP95Cc/0bp167R69Wrl5uYOyOueSV/b7ujRoyotLdVNN92kUaNGqbCwUJMmTepzHX6/X++//75mzpwpqf0HstVq7fQ98dQvaX6/v8+v0x8G4+ft9PbrKBqNauvWrbr44ouVlpbWo+djOGmIuuKKK3TgwAHNnz///2/vzoOquvIEjn8f+74HkEVAQNwQ4wouSVxiJMEtJi5J2jhJZ5mMMZlJVXoqVZOppLpnKt2T7mimq5N0FseYGBOJYlyIQQFFQVRQBCIgICKLrO+xPnjb/GFx2yePTWP0Jb9PlVW+e++559xz73vnd88592Ixirakra2N5ORkEhIS+vW0JCQkMHHiRH788Uc++eQTnn/++WHvt8/Vq1c5cOAAixcvNpusdX0PA1y7kEcqLy+Pzs5O5syZM+K0t8tIz4GPjw8vvvgiTU1NpKamotPplO7ovgm+fW6mjm6noqIiQkNDlTlAEydOJCsry+Ik5oFcf0xZWVlkZGQon5999tlhDZ319PRw7733Ko1UUlISZWVlFBcXD/vO7na6W+ppOEJDQ3nhhReor6/nu+++w2g03tHemJutu9raWtzd3Uf8e2WJ0Wjk22+/xdPT0+y35m79ft5t19tA9dfn7NmztLe3mz0UMRQJYu4ytra2Fici6vX6EfV+uLq64uTkNOxotrOzk+3btzNmzBgefPBBi/tzdXU1m7MykmGblpYWvvjiC+Lj45k5c6ay3NnZmd7eXrNte3p6lFn/w6HT6Th69Cjx8fHDGkMdyp06B7a2tvj7++Pv709LSwtnzpxh9uzZODs7o1arzbbVarUjqqPbraioiNbWVt5++21lmclk4tKlS4PWZ9+Pv4+PD42Njcq6qVOnMm7cONra2vj8888Z7l9HcXBwMLv7tbGxwdPT847fEfe5W+ppOBwcHAgICCAgIICamhrOnDlzx4OYgequ7/8Dudme4+uZTCZSUlKUYam+c+Li4oJOp8NgMCjLtFotwE861+5m3E3X20D1d32+mZmZzJo1a0S/bRLE3AV6enqUiU2enp4YjUaam5vx9fVVtrl69eqw5oXcjPb2dj7//HOCgoJYvnz5oJO+TCYTOp2u3wU4mMbGRj7//HOmTJnS7+mcwMDAft2bdXV1ZoHOUHJzc9Hr9SQkJAw7zY3u9DmwVJ6+H97AwEDy8vIwGo1Kr1VdXd0d797vU1NTQ2trKxs2bDALIvfs2UNhYSGenp40NDSYpdHr9bS0tChdyhMnTuTo0aPMnTsXX19fZcL1SBufUaNGUVVVpTzCbzAYaG1tZcqUKbd4lLfubqqnkert7b3teQxmqLpzcnKip6dHWX594+rl5UVbWxu9vb3DfmrxRkajkd27d9PQ0MD69evNGtm+72Ftba3Sg11XV4evry/29vY3ld9P4W663garvz6nTp2it7d3xJOhZU7MHVJSUkJTUxOVlZUUFRURFhYGXOvC9ff3Jzk5mcrKShoaGsjJySE/P5+pU6ea7aO+vp7Lly8r//ommI2EVqvl008/xc/Pj/vvvx+NRoNarUatVmM0GklLS+PEiRPU19dTX1/Pvn370Gq1yntiTCYTmZmZFBUVWdx/a2srn332GePHj2fq1KnKvvt6FmJjY2lpaSEzM5OGhgYOHTpEZ2enMgm27xHtvt4arVZr9mOl1Wo5fvw4c+bMGdbjeNe7W85BVVUVe/fupaKigqamJs6dO8epU6eUhjcmJgYbGxsOHDhAY2MjJ06coLq6+o4/7tqnsLCQ4OBgwsLClJ4kf39/Jk6cyIULF4iLi6OmpoZDhw5RV1fHlStX+PbbbzEajcp1lJCQgL+/P59++in5+fk0NTXR2NhIeXm5WV5btmxh27ZtA5Zl5syZFBUVkZOTw9WrVzl48CB2dnZ3RV3dTfV04/eqp6dH+V4VFRWRmprK5cuXaWpqIjc3l/Pnz9/ROhyq7gIDAykvL6eqqoqqqip27typpI2KisLBwYGDBw9y9epViouLlSdj+gxVX8nJydTV1bFixQp0Op3yG9bb24u7uztRUVHK+7RKSkrIycm544Hz3XS9DVZ/8I+HRmbPnj3i3ivpiblDDh8+THNzM87OzowbN44HHngAAJVKxW9+8xvS0tLYvXs3nZ2deHl58fDDD/drQG980VtYWBgbNmwYUTm6urqUC+rHH380W/ev//qvBAUFkZOTQ1ZWFkajkcDAQNavX6/MaamtrSUjI8PsEeHrtba20t3dTW5uLrm5ucpylUrFm2++ibe3N6tXr+bQoUMcPXoUX19f1qxZo/R4tLa2mr0nZvPmzXh7e7Np0yYATpw4ga2t7Yh6bvrcLefAy8uLnp4eUlJS6OrqwtPTk/vvv5/4+HgAHB0deeKJJzhw4AAffvgh7u7uLF++nODg4BEf80/NZDIp835uNGHCBNLS0ujp6eGpp54iPT1d6VEKDQ3lmWeeUYba7O3t2bBhA1lZWRw/fhy1Wo2NjQ1BQUEsWbKEe+65B7h2RzfYfIPx48ezbNkysrKySE9PJzQ0lKeffvqO3hHD3VdPGo3G7D0xW7ZswdPTk1dffRU/Pz8KCgr45ptv0Gq1eHt7s3Tp0js2lDScugsKCiI8PJwvv/wSLy8vZsyYoTyF4+DgwLp16zhw4ACffPIJ/v7+jB492uz3bqj6qqmpQaPR8NFHH5ktX758OVOmTGH58uXs27ePTz75BHt7e6ZMmXJHH6++2663oeovOzsbgFmzZo34WFWmn3IQVfzqHDt2jNzcXF599dURDTEJIcSdkpWVRXFxMc8///ydLoq4RdITI25JRUUF06ZNkwBGCHHXOn36NN7e3nh5edHY2Ehubu5d8SI6ceskiBE3TafTUVtba/Z2TyGEuNs0NDRw5MgRent78fLyIiEh4aaGLsTdR4aThBBCCGGV5OkkIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVZIgRgghhBBWSYIYIYQQQlglCWKEEEIIYZUkiBFCCCGEVbrjQUxpaSmbN2/mD3/4AxcvXrzTxfnZbN26lZycnDtdDPETknM6PKmpqezZs+dOF+OukZGRwVdffXWni2HR2bNn+eCDDyyuy8nJYevWrT9vgYS4gd1wN2xoaOBvf/sbEyZM4PHHH/9JMjeZTOzdu5dFixYRGxuLwWCwuF1ubi4HDx4kMTGRmTNn/iR5D6ShoYEDBw7Q0NAAwPjx40lMTMTOzo5t27Zx6dKlfsfwn//5n0Pu96233uKFF14gMDDwdhT7rqbX60lOTqampoaenh5CQ0NJSkrCy8vL4vbt7e0cPnyYsrIyenp6ePrppwkNDeX48ePk5+ej0WhwdnZmypQpzJ8/H5VKBcDFixfJzMykvr4eb29vXnrppX77Pnz4MMePH8dkMmFvb88bb7zBnj17OHfuHOvWrWPs2LHKttu2baOyspJXXnkFgM2bN6NSqbCxscHd3Z1x48Yxe/Zs3N3db0OtDS0zM5OqqirWr19/R/K/HQY6xxqNhi1btvTbfvLkyaxYsQKAtrY2tm3bxqJFixg3bpzF/et0OtLS0igsLMTOzo4ZM2Ywd+5cADQaDQcOHKCqqgpPT08WLVpEdHS0Wfq2tjY+/vhjJkyYwJIlS/rt/9KlS3z11Vf8+7//OwBqtZotW7awadOmAa/3m7Fnzx6cnJwslkGIX5NhBzGFhYVERERQWlpKb28vDg4Ot5x5Z2cnnZ2dREdHY2tri62trcXtioqKiIiIoKio6LYHMb29vUybNo2YmBi0Wi1ffPEFOTk5zJ07t19jUVRURFpa2m0tzy+B0WgkODiYRx55BAcHB/bv38/+/ft58skn+23b29vL1q1bmTp1Kg899BB2dv+4RH18fHjyySfx8vKioaGBjz/+mKioKEaPHk1paSmpqaksW7aM0NBQenp6LJZl4cKF+Pr6kpOTw4svvqgs9/T0JDs7WwliGhoaaG1t7Zf+9ddfx87OjubmZk6cOMHHH3/Mc889h5ub261W04jdf//9P3uet9tg5/jNN9802/bLL7/E29sbgPT0dI4dO4bJZBp0/0eOHKG5uZmNGzfS3t7O9u3b8fDwIDY2lp07dxIVFcVjjz3GxYsX+frrr3nppZeUPHp6etixY8eAv1OWeHl59Su3EOKnM+wgpri4mGXLlpGamkpJSQmxsbFcvnyZ1NRUGhsbcXV1JSEhgVmzZvVLe/HiRdLS0mhtbcXf35/ExESCgoL46KOPAHj33Xfx8vJi06ZN/dK2tbVx9epVXnrpJbZs2UJbWxseHh5A/96NDz74gPj4eKZMmUJrayvfffcdV65cwdfXl46ODhYuXMiUKVMGPc6QkBBCQkIAcHBwICoqiqtXr/bbzmQykZGRwX333Tdk3X366acAyvGuW7cOgKtXr7J161bq6uoYPXo0jz32GI6Ojmi1WlJTUykrK8POzo74+HgSEhJQq9Vs3ryZ+++/n7NnzxIbG8uCBQvIysoiLy8PrVar9BzZ29ubleHgwYPodDqWLVsGwN/+9jemT5/OjBkz6Onp4Z133uHf/u3fsLOz+8nzdnBwUO52ASZNmsTevXst1tWpU6cIDg5mzpw5/daNHz8euBYUdXR04OTkhI+PDwBpaWkkJSURHh4OgIuLy5Dn5Xpjx46ltLSUuro6Ro0axcmTJ5k5cyaHDh3qt62dnR0BAQGsXLmSnTt3kpGRQVJSEgC1tbV8+umnNDQ0EBoaysqVKy2W5b333mPs2LFUV1fj6OjIhg0bKCkp4ciRI6jVaoKDg1m6dClNTU3s3r2b1157TWk8v/76a/z9/XFycuLChQts2LABvV7P4cOHKSoqwmg0MmXKFBYuXEhqauqwzntNTQ1paWmo1Wo8PT2ZP38+EydONCtzW1sbn3/+ORqNBhsbG8LDw1mxYgVOTk7s2bOH7u5uTCYTVVVV+Pv78/jjj+Ph4UFvby+pqan8+OOPODg4YG9vr3zHRnKOr1ddXc3ly5d59NFHAZg/fz7z58/nvffeG/Q8FxUVsWLFCpydnXF2dmb69OmcP3+e4OBg6uvreeaZZ7Czs2P8+PGEhoZSVFTE3LlzMRqN7Nq1i4kTJ9LU1GRx33q9nm3btmEymXj77bcBePXVV/nLX/7CK6+8gpeXF0VFRWRmZqJWq/Hx8enXk9LU1MTWrVtZsmQJkyZNsnhNVFRUcO7cOeBaL/WECRN46KGH+O6776iqqsLOzo7o6Gilh+p6Z86c4dixY3R2duLr68uSJUsIDw+noKCAo0eP0tHRodxw3FjvBoOBI0eOKHm7ubnh5OQ0aH0LcbsNK4ipq6tDr9cTGhpKbGwsRUVFxMbGsnv3bmbNmsW0adNobm6mrq6uX9qWlha+/vprHn/8ccLDwyksLOSLL75g48aNPPPMM2zevJnXX399wC9DUVERMTExeHh4EBUVRXFxMfHx8YOW12QysXPnTiIjI1m7di0dHR1s27ZtOIfaT01NDREREf2WFxQUYDQaiYuLG3IfzzzzDG+99RbPP/+8EnAdP36choYGkpKS8Pb25tNPPyUvL4+EhASlq/jll1+mq6uLbdu2ERwcrARvBoOBF154AScnJ06ePElxcTHr16/H2dmZb7/9luzs7H7BVXh4OOnp6cC1Lm61Wk1JSQkzZsygrq4OHx8f3Nzc+Oqrr37yvC3VqZ+fn8V1ly9fRqfTsWXLFrq6uggLC+ORRx5R8m9tbeX999/H0dGRxx9/HDc3N7q6umhsbOTMmTPs2rULW1tbZsyYwbx585ShpqHY2Ngwc+ZMcnJyWLJkCRUVFcyfP99iEHO9uLg4Dh48qHzWaDQkJSXh6elJcnIyaWlpSgBxo9bWVlavXo2Xlxd1dXWkpKSwZs0agoKCOHHiBN999x1PPfUUtra2lJeXM3bsWHp6eigrK2PRokWUlpYq+0pLS6OpqYnnn38euNZL4e/vP6zz7uTkxK5du1i5ciXR0dHU19fT3t7er7wODg4sXbqUUaNGodfr2blzJ8ePH2fhwoXAtQZ46dKlPPbYY8q6xMREfvjhB9RqNRs3bsTW1nbAAPb6ernxHN/oyJEjxMfHj7gR1el02Nj8Yyqgr68vBQUF6PV6Zajw+nVqtRq4dhPg5ubG3LlzB5zPY2dnx/r1682Gk7RarbK+urqavXv3Kr+Ffdd6n7a2NrZv387ChQuZNGnSgNfE+vXrqa6uNhtOSklJwdHRkVdffZXe3l4KCwv7la+1tZUDBw7wT//0T/j7+1NdXY3BYKCqqorU1FTWrVtHYGAgx48fZ8eOHWY9lXBtDszFixd59tlncXNzIy0tzeINnhA/p2FN7C0qKmLSpEmoVCpiY2OpqKhAq9Wi0+lob2/HYDAQGBjIvffe2y9t3zBUdHQ09vb23Hvvvbi5uVFWVjasAvYFTIASQA2ltraW1tZWFixYgIODg/JDPVLnz5+noaGBadOmmS03GAxkZmZy3333mf3ojVRsbCyjRo3CycmJ0aNH09TUREdHB6WlpSQmJip3obGxsfz4449Kujlz5uDs7IxKpeLMmTPMnz8fb29vnJycmDVrFhcuXOiXV3h4OE1NTWi1WkpLS4mPj6euro6enh5qamoICwu7bXlfr7m5mezsbLOemetpNBpGjRrF888/z6uvvopKpWL//v3Kem9vb/7jP/6D1atX880339DS0oJGo8HW1paZM2fy2muv8eSTT5KdnW1W7uGYOnUqpaWlZGRkEBcXZzaUNRB3d3c6OzuVz+PHj8ff3x9HR0dmzJgx6GT1adOm4e3trdTllClTCAsLw97enjlz5nDp0iV0Oh2TJk1SGqULFy4watQos7tkk8lEXl4eixcvxs3NDTc3N6ZNm8aFCxeGdd4NBgNGo1EJXEJDQ5kwYUK/8jo5OeHn50dpaSl5eXmYTCaam5uV9dHR0YSHh+Pg4EBERARNTU2YTCbOnTvHggULcHV1xcnJSQlIB2LpHF+voqKC+vp6EhISBt2PJeHh4Zw8eZKenh56enqora3F3t4ePz8/nJ2dOXHiBAaDgba2NlpaWrCzs+PUqVM0NTUpvW036+zZs0yaNImoqCjs7OwYM2aMMudGq9Wyfft2Zs+erfyODnRNWBoq1el0dHV10dvbi6enp8WezOvPs62tLZGRkURGRnLu3DliY2MJDQ3F3t6e++67j46ODmpqavqVf968eXh7e2Nvb68MswlxJw2rJ6aoqIiuri7y8vKAa92mJSUlrFy5krS0NLKzswkICGDx4sX9ei2uH/7p4+HhYfFO70ZqtZqamhq+/fZb4NqPtVarRa1WDzpJTq1W4+HhMaKx6xtduXKFgwcPsnr16n53gvn5+djY2CjB1U/Bzs4OrVaLRqPBZDLxpz/9yWz95MmTLaZTq9V8/fXXZss8PT37befs7Iy/vz81NTWUlpby4IMP0tLSQllZGbW1tcTExNy2vPt0dXXx5Zdfct999xEZGWlxG71eT1BQkBJ0zpo1i2+++cZsG5VKRUREBIGBgZSWlhISEoJKpSIsLAyAwMBAYmJiqK6uttgYD8TJyYnY2FjOnDnDq6++Oqw0HR0dA86HcXFxobu7e1j70Wg0VFRUkJubqyxTqVRotVri4uL47LPP0Ol0FBUV9TsfXV1d6HQ6Zbiyz+jRo4d13h0dHVmxYgWZmZkcOnRIGU4ICAgw2195eTk7d+4kOjqaoKAgXFxcMBqNFo/Hzs4Og8FAZ2cnOp1uxA3ejef4+t7X9PR0EhIScHR0HNE+AZKSkkhJSeHPf/4zbm5ueHp64uXlha2tLWvXrmX//v0cO3YMf39/enp6iI6Opra2lurqav77v/8bQDnmnp4eli9fPuy829ralGv0RleuXMHZ2dmsZ2awa+JGCxcuZP/+/bz//vu4ublZHNr38/Nj8eLFfP/99yQnJxMREUFSUhLt7e3KMCxc65V0c3Pr9xutVqslcBF3nSGDmL5o/F/+5V+UZWfPnqWoqIgnnniCyMhIuru7OXLkCPv27ePll182S+/h4dEvom9raxvWEx19PUAPPvigsmzfvn0UFRUxZ84cbGxsLD7R5OTkNOzGw5Kamhp27tzJqlWrzL7ccK2RPXbsGIsWLbqlXpiBuLu7o1Kp+N3vftdvbklf1/b1PDw8SExMJCoqash9h4WFUV5ejlqtJiAggJiYGEpKSqitreWhhx4CuG159w1NxcXFWbxL7OPt7W0258BoNPYrS5++CeZeXl7o9Xo0Go0SRBmNxpuafD579tMzeV0AABadSURBVGxGjRqFm5ubxcbiRgUFBcTExFhcp9Fohv1Eiru7OwkJCSxatKjfur6GtqCggKqqKlauXGm23sXFBVtbW1588UWLw3TDOe+xsbHExsbS0dHB/v37OXToEL/5zW/M9pObm8uMGTOU72NGRgb19fWDHpeLiwsqlYquri5cXV2HVRfXu/EhgtLSUpqbm3nqqadGvC8AV1dXnnjiCeXz3r17lToLCQnhhRdeAK7dMP31r39l9OjRxMfHmwUrN/tkkIeHh8XvEUBUVBRz587l//7v/wgKCiIiImLQa+LGYVJvb2+eeuop9Ho9hYWFpKSkMH78+H43kAkJCcoct+TkZDIzM3F3d0ej0Sjb9M1Hcnd3N+sFc3Fxoaura0THLMTtNmQrXFhYSFRUFB4eHsq/iRMnUlZWxr59+9BoNDg4OODh4YGzs3O/9JMmTaKiooLS0lL0ej35+fm0t7f3e3TRkqKiIsaNG2eWd0xMjDKk5Ofnx8WLF9HpdBQUFChfuJCQEAwGA/n5+eh0OsrKysy+pGlpaQPOkamurlYCGEu9BadOncLR0ZFJkyYNWf7rubu7U1NTg1arHbRx9PDwIDw8nAMHDtDR0YHRaKSmpoaKigqL28fFxZGenk5jYyNGo5HW1laL4+FwrSv99OnTynFFR0dTXl6OSqVS6vd25N3Z2cnWrVuZPHnykPNlJk+ezOnTp2loaKC7u5sTJ04oE0xTUlJobGzEYDBw9uxZmpqaiI6Oxs3NjTFjxpCWlkZvby9XrlyhtLRUmSQ6El5eXhaHRa+n1+tpaGhgz5491NTUmD0l1NLSgk6nQ6PRkJWVNeRE8j5xcXHk5eVRWVmJwWCgq6uL06dPm9XLDz/8QGRkZL/vmUqlYvLkyRw6dAi1Wo3RaKShoYGSkhJg6POuVqs5fvw4nZ2dODk54ebmZvG77OLiglqtRq/XU1dXZzYnZyA2NjZERkaSnZ1Nb28vtbW1VFZWDrj9QOcYrgUW6enpzJ49+6Z6YeDasItOp0Or1XLq1CkuX77M9OnTgWtDOkajkba2Nvbt20dAQABBQUEj2n/fROaGhgba29vNnpaKjY3l/PnzlJeXo9frqaqqMhtWDwkJYcGCBSQnJ9PW1jboNeHu7k5DQwNarZaOjg6OHTtGfX09NjY2eHt7Y2tr2y+Iv3LlijIJ38XFBVdXV1xcXJg8eTLnz5+nuroanU7H0aNHcXV1JTg42Cx9dHQ0ubm5aLVampqalOtLiDtp0J4Yk8lEcXExjzzyiNlyX19fvLy8KCkpobS0FK1Wy6hRoyxOYPTx8WH16tUcPnyYXbt24e/vzxNPPIGzs/OAj8HCtcbg6tWr/QKJqKgo9u3bR0tLC4mJiaSkpHDy5EkmTJig9O44OjqyatUqDh48yPfff8+YMWNwcnJShpc6Ojr6jbP3KS8vp729vV+Qs2nTJlxcXJTJijfeCbW1tfGXv/yFxx9/3OIQxoMPPsj333/PoUOHlKeTBrJq1SrS0tL48MMP6e7uJiAggAULFljctq9XY8eOHbS1teHp6cmMGTMsbhseHo5Op1N6DhwdHQkKCjLrFbsdeTc2NtLY2EhaWprZI+nLly8nLi6Ozz//HFtbW5544gliY2PRaDRs374dvV7PxIkTmT9/PnDtDnH79u10dXXh5+fHunXrlLKvXLmSffv28e677+Lu7s6yZcssvpPn+vfE/Nd//RdvvPGGxWMbyB//+EdUKhVubm5ERUXx29/+1uzpo9raWrZs2aJM+h7uvI2wsDCSkpI4dOgQzc3NypNxfQ3s5MmTOXz48IATyZcsWUJ6ejpbt26lo6MDX19fZd7RUOfd0dGRmpoasrOz0el0jB49mqVLl/bL4/7772fXrl288847hISE4OPjg16vH/LYHn74Yfbs2cOf/vQnpZdrIIOd4+LiYtrb2y2+ZuHYsWNkZ2ej1WrZvXs37u7ubNy4EcDs+qqvr2fr1q04ODgwZswY1q9frzT2p0+f5siRI7i5uTFp0iQSExOHPLYb+fj4MHPmTD7++GMcHByUnh24dh4efvhhUlNTaW1txc/Pr19vTkJCApcvX+abb75hw4YNA14T06dPp7y8nP/5n//h3nvvxdvbm127dim9f6tWreo3D9DV1ZXi4mLS0tIwmUxERUUxb948HB0deeihh0hJSaG9vZ3g4GDWrVvXbzh+wYIF7Nmzh3fffRdfX198fHykZ0bccSrTUC9W+IV47733WLly5YBj0rfq7NmzpKen88orr9yWYaZfKr1ezzvvvMOaNWuGNSwlxEjI9SXEL9svtrUtKytTur4LCgowGAwj7hoeiYqKCqZPny4BzAj1vR11oIm+QtwKub6E+GUb9svurE1ZWRm7du3CZDIREBDAmjVrBpwgeqtMJhOXL19WJkmK4auoqGDGjBnDfp+LECMh15cQv2y/muEkIYQQQvyyyNiHEEIIIaySBDFCCCGEsEoSxAghhBDCKkkQI4QQQgirJEGMEEIIIaySBDFCCCGEsEoSxAghhBDCKkkQI4QQQgirJEGMEEIIIaySBDFCCCGEsEoSxAghhBDCKkkQI4QQQgirJEGMEEIIIaySBDFCCCGEsEp2Q21gNBp/8kxVKhUmk0nSSlpJK2klraSVtJJ2yLQqlcriukGDmM7OTvbu3XtTmQ4mIiKCyspKSStpJa2klbSSVtJK2iHTxsfHW1ynMg0SGhmNRlpbW28q08E4OTmh1WolraSVtJJW0kpaSStph0zr6upqcd2gQYwQQgghxN1KJvYKIYQQwipJECOEEEIIqyRBjBBCCCGskgQxQgghhLBKEsQIIYQQwipJECOEEEIIq/SzBTFnz57lgw8++LmyE0IIIX51MjIy+Oqrr+50MYb03nvvceHChVvez5B/dkCv15ORkUFhYSHt7e24ubkRGRnJokWLcHFxueUC3CyDwcCJEycoKCigtbUVBwcHQkJCiI+PZ8yYMYOmfe+991iyZAnjxo0DYNu2bYSFhXH//ff/HEUXQghxnVOnTpGTk0NbWxsuLi6EhYWRlJSEg4MDzc3NpKWlUVlZicFgICgoiMWLFxMcHAzA1q1bGTdunNkbXc+ePUtOTg4vvvgiGRkZZGZmYmNjg0qlYtSoUSxevJjQ0FBl+/z8fHJycmhubsbBwYHQ0FAeeOABrl69SkpKSr9X3j/55JNERkYOeVxvvfVWv7SPPPIIV65cAWD58uUjrqtt27Zx6dIlAOU1/n15xMXF4enpOaL9vf3226xfvx4vLy82b97M7373O5ycnAZNs2fPHs6dO9fv2N544w2+/PLLW25Pb2yjBzNkEPP111/T3d3NmjVr8Pf3p7m5maysLBoaGggPD7/pQt6q5ORkWltbWb58OaNGjaKzs5OSkhIqKiqGDGJutH79+ttUSiGEEIMpKiri+PHjrF27Fn9/f1paWsjKykKn02Eymdi6dSuxsbE8/PDD2NvbU1xczLZt21i9evWwAgmAmJgY1q5dS29vL8eOHePLL7/ktddew87OjuPHj5OTk0NSUhJjxoxBq9Vy5swZLl68iLu7OwEBAbz44os3fXzPP/88gYGBZsumTZt20/u7vr366quvCAwM5IEHHlCWZWRkjGh/b775JgBqtXpE6WbNmsWSJUsGLd/PYdAgpry8nKqqKjZt2qS88tff359HH30Ug8HA6dOnOXr0KF1dXbi4uJCQkEBCQgJwLQKdM2cOFy5cIDg4mIiICGW/BoOB9PR0CgoKMBgMxMTE8NBDD+Ho6Mjly5dJTU2lsbERV1dXEhISmDVrllm5KisruXjxIi+//DLu7u4AeHh4MGPGDGWbt956ixdeeEG5eD744APi4+OpqKhAo9Hw9ddfA5CYmEh5eblyIbS1tXHw4EEuXbqEs7Mz8+fPJzY2lkuXLrFjxw5mzZpFfn4+DzzwANXV1XR3d2M0GqmqquL111+ntbWVgwcPUlNTg6enJ0uWLGHMmDH87//+Ly0tLUr5nJyceP3112/6xAkhxC9BVVUVY8aMUX6r/fz8WLFiBQBHjhzBz8+PxYsXK9tPnToVjUZDZmbmsIOYPg4ODkyaNImsrCx6e3vR6/VkZmby+OOPEx0dDYC9vT0PPPAABoOB8+fPD7q/rVu3ArBhw4YRlSM1NRWtVktwcDCnT5/mn//5n5V1H330ETNnziQuLo6srCzy8vLQarWMHz+exMRE7O3th9x/d3c3u3fvprS0FA8PD1atWoW/vz8ZGRlUVFTg6elJWVkZzz33HH//+99Zu3Yt3377LQB//OMfARg/fjx6vZ5169YB1/4M0Z///Gcee+yxQfO+PrBqbW3lu+++48qVK/j6+tLR0cHChQuZMmUKAJcuXeLo0aM0NzcTExPDihUr2LNnT782+vq2/UaDBjEVFRWEh4db/JsFtra2hISEsGHDBry8vKirq+PTTz8lOjoaPz8/4NofkNywYQOurq6cO3dOSZuVlUVlZSXPPvss9vb27Nmzh9TUVJYvX87u3buZNWsW06ZNo7m5mbq6un55l5eXExERoQQwI/Hoo49y+fJls66q8vJy4FrX3FdffUVkZCQrV66kqamJL774gpCQEAB0Oh2urq5s3LgRBwcHqquraWpqYsWKFQQHB6PX69m+fTtz585l3bp1XL58meTkZDZt2sTGjRuBaxfCZ599pnxhhBDi1yw0NJT9+/cTHBxMdHQ0Hh4eyrqKigomTZrUL01MTAzHjh1Dp9ONKK/u7m6ys7MJDw/HxcWFsrIyVCqVxd9jW1vbIfc30qGbG02aNInvv/+ehoYGpReqqamJ8ePHc/LkSYqLi1m/fj3Ozs58++23ZGdnc9999w253+bmZhISEkhKSuLAgQMcOXKEtWvXAtDS0sK8efNYsWIFNjb/mBb7zDPPsHnzZl5//XWcnJyor6/n73//O93d3Tg7O1NZWYmdnR1hYWGcPXt2yDKYTCZ27txJZGQka9eupaOjg23btplt09TUxKpVq3BwcODDDz+kpKTEYhs9mEGDmO7u7kEDhcDAQBoaGsjLy6OzsxM7Ozuam5uVIGbWrFm4ubn1S1dQUMCiRYuUC2D+/Pl88sknLFu2DJ1OR3t7OwaDgcDAwH7dcABdXV1m5dq7dy8FBQWYTCZiYmJYvXr1kAduSU1NDW1tbSxYsACVSkVQUBBjxoyhtLSUgIAAHBwc+vUKRUdHK2OrpaWluLm5KVFjZGQkPj4+XLp0iZiYGACOHTsGwNy5c2+qjEII8UsSGxuLVqslNzeXffv24ePjw+zZs5k2bRpdXV0W2xAPDw9MJhPd3d3DyqO0tJTf//73GAwGJk6cqDToQ7VxAFevXuX3v/+98tnGxoY33ngDgJUrVw6Z98cff2z2+emnn1b+7+zsTHR0NIWFhSxYsIDz588zbtw4HB0dOXPmDA8++CDe3t7Atfb08OHDwwpiQkJClAAgMjKS9PR0s3XDuYkODAzEz8+PH3/8kalTp1JYWMjkyZOVeTC5ubmcPn1a2T4iIoInn3xS+VxbW0traysLFizA1tYWHx+ffnNtpk+fjq+vr5JfU1PTkOW60aBBjIuLC42NjQOu37t3LyUlJcTGxuLr64udnR3D+XuSbW1tZtG2u7s7BoOBrq4uVq5cSVpaGtnZ2QQEBLB48WKzoSi4duKvP9hly5axbNkyMjIyqK+vHzL/gWg0Gjo7O/nDH/6gLDOZTEpQNpz0dXV1Zhe8yWRS/nJnbW0tOTk5PPfcc2YRsBBC/JrNmDGDGTNm0NXVRXFxMQcOHOCee+7BxcWFjo6Oftu3t7ejUqlwdnZGpVL1a3dMJpNZT8rYsWNZu3Yt+/fv59KlS0pD7OLiQnt7+6Blu9U5Mb/97W/73YwXFRUp/4+Li+OHH35gwYIFFBUVKUNnarVaGVLpczM9P3Z2dhgMhpso+bUAs7CwkLi4OC5cuMCzzz6rrJs5c6bFOTF91Go1Hh4ew+rRupVyDhrEhIeHc+rUKTo6OvpFw11dXeTn5/PSSy9xzz33AHD8+PFhZeru7o5Go1Fml7e1tWFra4uLiwuRkZFERkbS3d3NkSNH2LdvHy+//LJZ+oiICE6dOtUvGLqejY3NgBVy44zq68vl5ubGa6+91m9d32zwoY4rODjY7ET30el07N69m4ULF+Lj4zPkvoQQ4tfAaDQqN3UuLi5Mnz6d/Px8mpubCQsL48KFC2ZPHgFcuHCBoKAg7O3tLQYiGo3GYtuwePFiPvroIw4ePMjy5csJCQnBaDRSVlbWr3diODfkP4Xo6Gj27t1Lfn4+3d3dyoMpHh4eJCYmEhUV9bOUw5LY2FjS09M5d+4cvr6+w76hh2vzPofbU3ajgdpoSwbtDoiMjCQkJIQdO3ZQV1eHwWCgqamJ1NRUGhoasLOzo6mpid7eXs6dO0dnZ+ewMp08eTJZWVloNBq6urrIyMggNjYWo9FIWloaGo0GBwcHPDw8cHZ2tliu0aNHs2PHDq5cuaL04lw/u9rPz4+LFy+i0+koKCgwm1Tr7u5ObW0tPT09dHV1KcuDg4NxcnLi8OHDaLVaDAYDlZWV1NTUDOu4oqOjaW1t5dSpU/T29qLT6SgpKVEeEfTy8mL69OnD2pcQQvwa7N27l+zsbLq6ujAYDJSUlNDS0kJERATx8fE0NjaSmppKe3s7Wq2WvLw8srOzlSdyYmJiOHv2LFVVVRgMBq5cuUJeXl6/Hny4Nml31apVnD9/noKCApycnJg3bx4pKSmUlJSg0+no6Ojg5MmT5OTkDFn23bt3s3v37ls6fltbWyZOnMj3339PbGysEtDFxcWRnp5OY2MjRqOR1tZWCgsLbymvwbi5uWFjY8OVK1fo6upCp9Ph6elJaGgohw4dIi4ubkT7CwkJwWAwkJ+fj06no6ysDI1GM6y0A7XRlgzaE6NSqVi7di1Hjhxhx44ddHZ24u7uztixY/H392fp0qXs378fg8HAvffeazHgsGTevHn09vbyySefYDAYGDt2LEuWLEGlUtHe3s4nn3yCVqtl1KhRLFu2bMByZWZmkpycTFtbG46OjowePVqZj5KYmEhKSgonT55kwoQJZuOeDzzwgPLFWbp0qbLc1taWJ554gh9++IH333+f3t5egoODeeihh4Z1XM7Ozjz11FP88MMPHDlyBKPRyOjRo3nkkUfIzc1FpVLx9ttvK9v3PdomhBC/VuPGjSM7O5uMjAz0ej3+/v6sXr0aLy8v4NqE07S0NP76178qcyXXrFmjPJk0efJkuru7+e6779BoNMq8xIGeaAkMDGTBggXKZOL77rsPFxcX0tLSaGlpwdHRkYiICObNm0d9fT1Xr141+92Gf7wnZriN8lDi4uI4ffq0WaAwZ84cAHbs2EFbWxuenp6DPqVzq+zs7Fi4cCHJyckAPPfcc/j4+BAbG8uVK1f6TbA+efIkubm5Zsv65goBODo6smrVKg4ePMj333/PmDFjcHJyGtbw0o1t9OTJkwfcVmX6ufrMhBBCCGFVTpw4QXV1NWvWrLnlfb333nusXLmSsLCwn6Bk18jsUiGEEEJYlJeXN+KhpD5lZWWo1Wr0er3yXrigoKCftHxDvrFXCCGEEL8+lZWVdHV13fR7zcrKyti1axcmk4mAgADWrFkzrJf1jYQMJwkhhBDCKslwkhBCCCGskgQxQgghhLBKEsQIIYQQwipJECOEEEIIqyRBjBBCCCGskgQxQgghhLBK/w9LlJDXRS6qGQAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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" ] @@ -6465,7 +6481,7 @@ }, { "metadata": { - "id": "Wpf81FWvuCSi", + "id": "GhYcunuzHBac", "colab_type": "code", "colab": {} }, @@ -6478,7 +6494,7 @@ }, { "metadata": { - "id": "wJ2BiedIuCSk", + "id": "b_xcbxiWHBae", "colab_type": "code", "colab": {} }, From e75418e1aa64a799a2caa227a0212989588f12a3 Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Thu, 15 Nov 2018 18:20:31 -0600 Subject: [PATCH 5/8] Created using Colaboratory --- .../LS_DS_124_Sequence_your_narrative.ipynb | 4275 ++++++++++++++++- 1 file changed, 4222 insertions(+), 53 deletions(-) diff --git a/module4-sequence-your-narrative/LS_DS_124_Sequence_your_narrative.ipynb b/module4-sequence-your-narrative/LS_DS_124_Sequence_your_narrative.ipynb index b3c2b22..a3ec417 100644 --- a/module4-sequence-your-narrative/LS_DS_124_Sequence_your_narrative.ipynb +++ b/module4-sequence-your-narrative/LS_DS_124_Sequence_your_narrative.ipynb @@ -1,55 +1,4224 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "_Lambda School Data Science_\n", - "\n", - "# Sequence your narrative\n", - "\n", - "Create a sequence of visualizations inspired by [Hans Rosling's 200 Countries, 200 Years, 4 Minutes](https://www.youtube.com/watch?v=jbkSRLYSojo).\n", - "\n", - "Using this [data from Gapminder](https://github.com/open-numbers/ddf--gapminder--systema_globalis/):\n", - "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--income_per_person_gdppercapita_ppp_inflation_adjusted--by--geo--time.csv\n", - "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--life_expectancy_years--by--geo--time.csv\n", - "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--entities--geo--country.csv\n", - "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--concepts.csv\n", - "\n", - "### Stretch goals\n", - "- [ipywidgets](https://github.com/jupyter-widgets/ipywidgets)\n", - "- [Matplotlib animation](https://matplotlib.org/examples/animation/index.html)\n", - "- [Connected scatter plots](http://www.thefunctionalart.com/2012/09/in-praise-of-connected-scatter-plots.html)\n", - "- [Idyll markup language](https://idyll-lang.org/) for \"scrollytelling\"" - ] + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "LS_DS_124_Sequence_your_narrative.ipynb", + "version": "0.3.2", + "provenance": [], + "collapsed_sections": [ + "pgwkRpg94E1S", + "y4UMyPIK4E2C", + "QngQT-IX4E2f", + "dZy0tEc64E2u", + "L2HNevKg4E23", + "v08uKAMU4E2-", + "dG9uOIYc4E3B", + "bh6QV9Yl4E3J", + "7nQrGNMM4E3P" + ] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + } }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "cells": [ + { + "metadata": { + "id": "htoIEbyY4Exg", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "_Lambda School Data Science_\n", + "\n", + "# Sequence your narrative\n", + "\n", + "Create a sequence of visualizations inspired by [Hans Rosling's 200 Countries, 200 Years, 4 Minutes](https://www.youtube.com/watch?v=jbkSRLYSojo).\n", + "\n", + "Using this [data from Gapminder](https://github.com/open-numbers/ddf--gapminder--systema_globalis/):\n", + "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--income_per_person_gdppercapita_ppp_inflation_adjusted--by--geo--time.csv\n", + "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--life_expectancy_years--by--geo--time.csv\n", + "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--entities--geo--country.csv\n", + "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--concepts.csv\n", + "\n", + "### Stretch goals\n", + "- [ipywidgets](https://github.com/jupyter-widgets/ipywidgets)\n", + "- [Matplotlib animation](https://matplotlib.org/examples/animation/index.html)\n", + "- [Connected scatter plots](http://www.thefunctionalart.com/2012/09/in-praise-of-connected-scatter-plots.html)\n", + "- [Idyll markup language](https://idyll-lang.org/) for \"scrollytelling\"" + ] + }, + { + "metadata": { + "id": "e2PXigBd4Exj", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "Variables --> Visual Encoding\n", + "- Income --> x\n", + "- Lifespan --> y\n", + "- Region _-> color\n", + "- Population --> size of buble\n", + "- Year --> animation frame (alternative: small multiple several visualizations in a row/sequence -- horse in motion example on wikipedia)\n", + "- Country --> annotation\n", + "\n", + "Qualitative --> Verbal\n", + "- Editoria/contextual explanation --> audio narration (alternative: text)\n" + ] + }, + { + "metadata": { + "id": "CFy9tTCx4Exm", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np\n", + "%matplotlib inline" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "UGZs6rNz4Exu", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "income = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--income_per_person_gdppercapita_ppp_inflation_adjusted--by--geo--time.csv')\n", + "lifespan = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--life_expectancy_years--by--geo--time.csv')\n", + "entities = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--entities--geo--country.csv')\n", + "concepts = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--concepts.csv')\n", + "population = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--population_total--by--geo--time.csv')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "B7LeRR-P4Ex7", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "pd.options.display.max_columns = None" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "CYdDdY_T4EyE", + "colab_type": "code", + "colab": {}, + "outputId": "cb7d0edd-3056-4e2d-9575-768df3751035" + }, + "cell_type": "code", + "source": [ + "income.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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2afgNaNIslamic Republic of AfghanistanNaNNaNAfghanistanNaNNaNNaNNaNNaNNaNg77AfghanistanAFi1low_incomeTrueAFAFG4.0NaNlandlocked33.0000066.00000muslimAfghanistanAFGHANISTANTrueAFAFGHANISTANasiasouth_asia
3agoNaNNaNNaNNaNAngolaNaNNaNNaNNaNNaNNaNg77AngolaAOi7upper_middle_incomeTrueAOAGO24.0NaNcoastline-12.5000018.50000christianAngolaANGOLATrueAOANGOLAafricasub_saharan_africa
4aiaNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNothersAnguillaAIi8NaNTrueAIAIA660.0NaNcoastline18.21667-63.05000christianAnguillaNaNFalseAIANGUILLAamericasamerica
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0adults_with_hiv_percent_age_15_49NaNmeasureThe estimated percentage of adults aged 15 to ...NaNNaNNaNNaNAdults with HIV (%, age 15-49)Adults with HIV (%, age 15-49)Adults with HIV[\"log\", \"linear\"]NaNNaNhttp://www.gapminder.org/gapminder-world/docum...hiv
1age_at_1st_marriage_womenNaNmeasureThe mean age, in years, of first marriage for ...NaNNaNNaNNaNAge at 1st marriage (women)Age at 1st marriage (women)Age at 1st marriage[\"linear\", \"log\"]NaNNaNhttp://spreadsheets.google.com/pub?key=t4eF8H_...population
2aged_15_24_employment_rate_percentNaNmeasurePercentage of total population, age group 15-2...NaNNaNNaNNaNAged 15-24 employment rate (%)Aged 15-24Employment rate (%)[\"linear\", \"log\"]NaNNaNhttp://ilo.org/legacy/english/global-reports/k...employment_rate
3aged_15_24_unemployment_rate_percentNaNmeasurePercentage of total population, age group 15-2...NaNNaNNaNNaNAged 15-24 unemployment rate (%)Aged 15-24Unemployment rate (%)[\"linear\", \"log\"]NaNNaNhttp://ilo.org/legacy/english/global-reports/k...unemployment
4aged_15_64_labour_force_participation_rate_per...NaNmeasureFor age group 15-64, percentage of all labour ...NaNNaNNaNNaNAged 15-64 labour force participation rate (%)Aged 15-64Labour force participation rate (%)[\"linear\", \"log\"]NaNNaNhttp://ilo.org/legacy/english/global-reports/k...labour_force_participation
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" + ], + "text/plain": [ + " concept color concept_type \\\n", + "0 adults_with_hiv_percent_age_15_49 NaN measure \n", + "1 age_at_1st_marriage_women NaN measure \n", + "2 aged_15_24_employment_rate_percent NaN measure \n", + "3 aged_15_24_unemployment_rate_percent NaN measure \n", + "4 aged_15_64_labour_force_participation_rate_per... NaN measure \n", + "\n", + " description description_long domain \\\n", + "0 The estimated percentage of adults aged 15 to ... NaN NaN \n", + "1 The mean age, in years, of first marriage for ... NaN NaN \n", + "2 Percentage of total population, age group 15-2... NaN NaN \n", + "3 Percentage of total population, age group 15-2... NaN NaN \n", + "4 For age group 15-64, percentage of all labour ... NaN NaN \n", + "\n", + " drill_up indicator_url name \\\n", + "0 NaN NaN Adults with HIV (%, age 15-49) \n", + "1 NaN NaN Age at 1st marriage (women) \n", + "2 NaN NaN Aged 15-24 employment rate (%) \n", + "3 NaN NaN Aged 15-24 unemployment rate (%) \n", + "4 NaN NaN Aged 15-64 labour force participation rate (%) \n", + "\n", + " name_catalog name_short \\\n", + "0 Adults with HIV (%, age 15-49) Adults with HIV \n", + "1 Age at 1st marriage (women) Age at 1st marriage \n", + "2 Aged 15-24 Employment rate (%) \n", + "3 Aged 15-24 Unemployment rate (%) \n", + "4 Aged 15-64 Labour force participation rate (%) \n", + "\n", + " scales source source_long \\\n", + "0 [\"log\", \"linear\"] NaN NaN \n", + "1 [\"linear\", \"log\"] NaN NaN \n", + "2 [\"linear\", \"log\"] NaN NaN \n", + "3 [\"linear\", \"log\"] NaN NaN \n", + "4 [\"linear\", \"log\"] NaN NaN \n", + "\n", + " source_url \\\n", + "0 http://www.gapminder.org/gapminder-world/docum... \n", + "1 http://spreadsheets.google.com/pub?key=t4eF8H_... \n", + "2 http://ilo.org/legacy/english/global-reports/k... \n", + "3 http://ilo.org/legacy/english/global-reports/k... \n", + "4 http://ilo.org/legacy/english/global-reports/k... \n", + "\n", + " tags \n", + "0 hiv \n", + "1 population \n", + "2 employment_rate \n", + "3 unemployment \n", + "4 labour_force_participation " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 294 + } + ] + }, + { + "metadata": { + "id": "Otk7Co__4Ey8", + "colab_type": "code", + "colab": {}, + "outputId": "bf5440de-1297-4554-cb5c-2a2947f74da3" + }, + "cell_type": "code", + "source": [ + "population.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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geotimepopulation_total
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" + ], + "text/plain": [ + " geo time population_total\n", + "0 abw 1800 19286\n", + "1 abw 1801 19286\n", + "2 abw 1802 19286\n", + "3 abw 1803 19286\n", + "4 abw 1804 19286" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 296 + } + ] + }, + { + "metadata": { + "id": "_fiSbOCj4EzG", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "mfab_bvB4EzN", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### The Pandas Cheatsheet\n", + "https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf" + ] + }, + { + "metadata": { + "id": "jpYeLK-v4EzP", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Merge Data" + ] + }, + { + "metadata": { + "id": "Uh0jpEvo4EzQ", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "pd.merge?" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "cjLFpTYg4E0C", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "df = pd.merge(income, lifespan)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "dszq5nui4E0Q", + "colab_type": "code", + "colab": {}, + "outputId": "f91b214c-16ce-4478-c3b7-2239c69e87e7" + }, + "cell_type": "code", + "source": [ + "# we picked up an additional column -- success\n", + "income.shape, lifespan.shape, df.shape" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "((44268, 3), (44370, 3), (41790, 4))" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 162 + } + ] + }, + { + "metadata": { + "id": "vZQPK8-t4E0Y", + "colab_type": "code", + "colab": {}, + "outputId": "aa5d6c09-f8d3-4e58-fa42-5d78af1f626d" + }, + "cell_type": "code", + "source": [ + "# merge kept rows where both were same - so some data missing\n", + "df.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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geotimeincome_per_person_gdppercapita_ppp_inflation_adjustedlife_expectancy_years
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" + ], + "text/plain": [ + " geo time income_per_person_gdppercapita_ppp_inflation_adjusted \\\n", + "0 abw 1800 833 \n", + "1 abw 1801 833 \n", + "2 abw 1802 833 \n", + "3 abw 1803 833 \n", + "4 abw 1804 833 \n", + "\n", + " life_expectancy_years \n", + "0 34.42 \n", + "1 34.42 \n", + "2 34.42 \n", + "3 34.42 \n", + "4 34.42 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 163 + } + ] + }, + { + "metadata": { + "id": "Lvllyz074E0b", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "#looking at merge options - inner join default\n", + "pd.merge?" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "bK_oBdLY4E0j", + "colab_type": "code", + "colab": {}, + "outputId": "a53bef7e-3265-461f-8209-abd7e1e30a21" + }, + "cell_type": "code", + "source": [ + "# merging other columns -- from entities\n", + "entities.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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countryalt_5alternative_1alternative_2alternative_3alternative_4_cdiacarb1arb2arb3arb4...latitudelongitudemain_religion_2008namepandgun_stateunicode_region_subtagupper_case_nameworld_4regionworld_6region
0abkhNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNAbkhaziaNaNFalseNaNNaNeuropeeurope_central_asia
1abwNaNNaNNaNNaNArubaNaNNaNNaNNaN...12.50000-69.96667christianArubaNaNFalseAWARUBAamericasamerica
2afgNaNIslamic Republic of AfghanistanNaNNaNAfghanistanNaNNaNNaNNaN...33.0000066.00000muslimAfghanistanAFGHANISTANTrueAFAFGHANISTANasiasouth_asia
3agoNaNNaNNaNNaNAngolaNaNNaNNaNNaN...-12.5000018.50000christianAngolaANGOLATrueAOANGOLAafricasub_saharan_africa
4aiaNaNNaNNaNNaNNaNNaNNaNNaNNaN...18.21667-63.05000christianAnguillaNaNFalseAIANGUILLAamericasamerica
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5 rows × 33 columns

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" + ], + "text/plain": [ + " country alt_5 alternative_1 alternative_2 alternative_3 \\\n", + "0 abkh NaN NaN NaN NaN \n", + "1 abw NaN NaN NaN NaN \n", + "2 afg NaN Islamic Republic of Afghanistan NaN NaN \n", + "3 ago NaN NaN NaN NaN \n", + "4 aia NaN NaN NaN NaN \n", + "\n", + " alternative_4_cdiac arb1 arb2 arb3 arb4 ... latitude \\\n", + "0 NaN NaN NaN NaN NaN ... NaN \n", + "1 Aruba NaN NaN NaN NaN ... 12.50000 \n", + "2 Afghanistan NaN NaN NaN NaN ... 33.00000 \n", + "3 Angola NaN NaN NaN NaN ... -12.50000 \n", + "4 NaN NaN NaN NaN NaN ... 18.21667 \n", + "\n", + " longitude main_religion_2008 name pandg un_state \\\n", + "0 NaN NaN Abkhazia NaN False \n", + "1 -69.96667 christian Aruba NaN False \n", + "2 66.00000 muslim Afghanistan AFGHANISTAN True \n", + "3 18.50000 christian Angola ANGOLA True \n", + "4 -63.05000 christian Anguilla NaN False \n", + "\n", + " unicode_region_subtag upper_case_name world_4region world_6region \n", + "0 NaN NaN europe europe_central_asia \n", + "1 AW ARUBA americas america \n", + "2 AF AFGHANISTAN asia south_asia \n", + "3 AO ANGOLA africa sub_saharan_africa \n", + "4 AI ANGUILLA americas america \n", + "\n", + "[5 rows x 33 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 165 + } + ] + }, + { + "metadata": { + "id": "xhyTOpaR4E0o", + "colab_type": "code", + "colab": {}, + "outputId": "c1d7551c-5cd3-4078-b583-352cc876f0dc" + }, + "cell_type": "code", + "source": [ + "# we want to be selective and not merge all columns\n", + "entities[entities.country =='abw'].T" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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countryabw
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arb4NaN
arb5NaN
arb6NaN
g77_and_oecd_countriesothers
gapminder_listAruba
god_idAW
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iso3166_1_alpha2AW
iso3166_1_alpha3ABW
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iso3166_2NaN
landlockedcoastline
latitude12.5
longitude-69.9667
main_religion_2008christian
nameAruba
pandgNaN
un_stateFalse
unicode_region_subtagAW
upper_case_nameARUBA
world_4regionamericas
world_6regionamerica
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" + ], + "text/plain": [ + " 1\n", + "country abw\n", + "alt_5 NaN\n", + "alternative_1 NaN\n", + "alternative_2 NaN\n", + "alternative_3 NaN\n", + "alternative_4_cdiac Aruba\n", + "arb1 NaN\n", + "arb2 NaN\n", + "arb3 NaN\n", + "arb4 NaN\n", + "arb5 NaN\n", + "arb6 NaN\n", + "g77_and_oecd_countries others\n", + "gapminder_list Aruba\n", + "god_id AW\n", + "gwid i12\n", + "income_groups high_income\n", + "is--country True\n", + "iso3166_1_alpha2 AW\n", + "iso3166_1_alpha3 ABW\n", + "iso3166_1_numeric 533\n", + "iso3166_2 NaN\n", + "landlocked coastline\n", + "latitude 12.5\n", + "longitude -69.9667\n", + "main_religion_2008 christian\n", + "name Aruba\n", + "pandg NaN\n", + "un_state False\n", + "unicode_region_subtag AW\n", + "upper_case_name ARUBA\n", + "world_4region americas\n", + "world_6region america" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 166 + } + ] + }, + { + "metadata": { + "id": "o7yVNZjg4E0x", + "colab_type": "code", + "colab": {}, + "outputId": "26ec439a-8b6d-43e9-829d-da32da30e84c" + }, + "cell_type": "code", + "source": [ + "entities.world_4region.value_counts()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "asia 80\n", + "europe 73\n", + "africa 61\n", + "americas 57\n", + "Name: world_4region, dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 167 + } + ] + }, + { + "metadata": { + "id": "v3sUz_W84E01", + "colab_type": "code", + "colab": {}, + "outputId": "aa02efb2-32d2-4394-cfc4-3e843b91ce6b" + }, + "cell_type": "code", + "source": [ + "entities.world_6region.value_counts()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "europe_central_asia 77\n", + "sub_saharan_africa 53\n", + "america 53\n", + "east_asia_pacific 46\n", + "middle_east_north_africa 23\n", + "south_asia 8\n", + "Name: world_6region, dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 168 + } + ] + }, + { + "metadata": { + "id": "AY1C7p2Y4E04", + "colab_type": "code", + "colab": {}, + "outputId": "e037c647-e726-493a-f67d-4f069da97542" + }, + "cell_type": "code", + "source": [ + "# We'll go with the world_6region since it breaks some regions more\n", + "variables = ['country', 'name', 'world_6region']\n", + "# this is what we want to merge - yet we don't have same name for keys\n", + "# vs what's on df\n", + "entities[variables].head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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countrynameworld_6region
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1abwArubaamerica
2afgAfghanistansouth_asia
3agoAngolasub_saharan_africa
4aiaAnguillaamerica
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" + ], + "text/plain": [ + " country name world_6region\n", + "0 abkh Abkhazia europe_central_asia\n", + "1 abw Aruba america\n", + "2 afg Afghanistan south_asia\n", + "3 ago Angola sub_saharan_africa\n", + "4 aia Anguilla america" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 169 + } + ] + }, + { + "metadata": { + "id": "t3nAce714E0-", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "df = pd.merge(df, population)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "UyfBESsw4E1C", + "colab_type": "code", + "colab": {}, + "outputId": "ec9d1931-9643-48a0-b93b-fa9f9b8f39c3" + }, + "cell_type": "code", + "source": [ + "# preview of merge\n", + "pd.merge(df, entities[variables],\n", + " how='inner', left_on='geo', right_on='country').head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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geotimeincome_per_person_gdppercapita_ppp_inflation_adjustedlife_expectancy_yearspopulation_totalcountrynameworld_6region
0abw180083334.4219286abwArubaamerica
1abw180183334.4219286abwArubaamerica
2abw180283334.4219286abwArubaamerica
3abw180383334.4219286abwArubaamerica
4abw180483334.4219286abwArubaamerica
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" + ], + "text/plain": [ + " geo time income_per_person_gdppercapita_ppp_inflation_adjusted \\\n", + "0 abw 1800 833 \n", + "1 abw 1801 833 \n", + "2 abw 1802 833 \n", + "3 abw 1803 833 \n", + "4 abw 1804 833 \n", + "\n", + " life_expectancy_years population_total country name world_6region \n", + "0 34.42 19286 abw Aruba america \n", + "1 34.42 19286 abw Aruba america \n", + "2 34.42 19286 abw Aruba america \n", + "3 34.42 19286 abw Aruba america \n", + "4 34.42 19286 abw Aruba america " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 171 + } + ] + }, + { + "metadata": { + "id": "bFUc1zg-4E1G", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# we don't need 'geo' and 'country' anymore\n", + "df = pd.merge(df, entities[variables],\n", + " how='inner', left_on='geo', right_on='country')\n", + "\n", + "df.drop(columns=['geo', 'country'], inplace=True)\n", + "\n", + "# Also, renaming some columns\n", + "df.rename(columns={\n", + " 'time': 'year',\n", + " 'income_per_person_gdppercapita_ppp_inflation_adjusted': 'income',\n", + " 'life_expectancy_years': 'lifespan',\n", + " 'population_total': 'population',\n", + " 'name': 'country',\n", + " 'world_6region': 'region'\n", + "}, inplace=True)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "X2KBLKA14E1J", + "colab_type": "code", + "colab": {}, + "outputId": "a4202509-73ea-4a35-f474-7eb43c5e6e47" + }, + "cell_type": "code", + "source": [ + "# Now we have 6 columns\n", + "df.shape" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(41790, 6)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 173 + } + ] + }, + { + "metadata": { + "id": "wnYM2_1p4E1M", + "colab_type": "code", + "colab": {}, + "outputId": "17e8d2b2-3d0f-4b7d-bbe3-e5b1f8e9fd41" + }, + "cell_type": "code", + "source": [ + "df.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
0180083334.4219286Arubaamerica
1180183334.4219286Arubaamerica
2180283334.4219286Arubaamerica
3180383334.4219286Arubaamerica
4180483334.4219286Arubaamerica
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" + ], + "text/plain": [ + " year income lifespan population country region\n", + "0 1800 833 34.42 19286 Aruba america\n", + "1 1801 833 34.42 19286 Aruba america\n", + "2 1802 833 34.42 19286 Aruba america\n", + "3 1803 833 34.42 19286 Aruba america\n", + "4 1804 833 34.42 19286 Aruba america" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 174 + } + ] + }, + { + "metadata": { + "id": "pgwkRpg94E1S", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Explore data" + ] + }, + { + "metadata": { + "id": "RSKV5xtl4E1T", + "colab_type": "code", + "colab": {}, + "outputId": "efa7bfe2-83c7-4f45-b20f-ffd00031a317" + }, + "cell_type": "code", + "source": [ + "df.describe()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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std63.32296910502.60258016.3942406.502349e+07
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max2018.000000177522.00000084.1700001.415046e+09
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" + ], + "text/plain": [ + " year income lifespan population\n", + "count 41790.000000 41790.000000 41790.000000 4.179000e+04\n", + "mean 1909.357406 4778.593683 43.267181 1.332550e+07\n", + "std 63.322969 10502.602580 16.394240 6.502349e+07\n", + "min 1800.000000 247.000000 1.000000 2.128000e+03\n", + "25% 1854.000000 884.000000 31.200000 3.760282e+05\n", + "50% 1909.000000 1449.000000 35.500000 1.915244e+06\n", + "75% 1964.000000 3536.750000 56.340000 6.260147e+06\n", + "max 2018.000000 177522.000000 84.170000 1.415046e+09" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 175 + } + ] + }, + { + "metadata": { + "id": "q8tSLjeD4E1X", + "colab_type": "code", + "colab": {}, + "outputId": "c48cfddc-704a-4165-ba96-32ead3ee4397" + }, + "cell_type": "code", + "source": [ + "df.describe(include='all')" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
count41790.00000041790.00000041790.0000004.179000e+044179041790
uniqueNaNNaNNaNNaN1946
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freqNaNNaNNaNNaN21910991
mean1909.3574064778.59368343.2671811.332550e+07NaNNaN
std63.32296910502.60258016.3942406.502349e+07NaNNaN
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" + ], + "text/plain": [ + " year income lifespan population country \\\n", + "count 41790.000000 41790.000000 41790.000000 4.179000e+04 41790 \n", + "unique NaN NaN NaN NaN 194 \n", + "top NaN NaN NaN NaN Australia \n", + "freq NaN NaN NaN NaN 219 \n", + "mean 1909.357406 4778.593683 43.267181 1.332550e+07 NaN \n", + "std 63.322969 10502.602580 16.394240 6.502349e+07 NaN \n", + "min 1800.000000 247.000000 1.000000 2.128000e+03 NaN \n", + "25% 1854.000000 884.000000 31.200000 3.760282e+05 NaN \n", + "50% 1909.000000 1449.000000 35.500000 1.915244e+06 NaN \n", + "75% 1964.000000 3536.750000 56.340000 6.260147e+06 NaN \n", + "max 2018.000000 177522.000000 84.170000 1.415046e+09 NaN \n", + "\n", + " region \n", + "count 41790 \n", + "unique 6 \n", + "top europe_central_asia \n", + "freq 10991 \n", + "mean NaN \n", + "std NaN \n", + "min NaN \n", + "25% NaN \n", + "50% NaN \n", + "75% NaN \n", + "max NaN " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 176 + } + ] + }, + { + "metadata": { + "id": "V1pScwzp4E1c", + "colab_type": "code", + "colab": {}, + "outputId": "9f8b80b4-94c6-45b5-c2dd-81a8f54ce254" + }, + "cell_type": "code", + "source": [ + "df.describe(exclude=[np.number])" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " country region\n", + "count 41790 41790\n", + "unique 194 6\n", + "top Australia europe_central_asia\n", + "freq 219 10991" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 177 + } + ] + }, + { + "metadata": { + "id": "q-mdzo894E1f", + "colab_type": "code", + "colab": {}, + "outputId": "f7f4a382-7e09-4e34-d7ff-9d50250f58f4" + }, + "cell_type": "code", + "source": [ + "df.country.unique()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array(['Aruba', 'Afghanistan', 'Angola', 'Albania', 'Andorra',\n", + " 'United Arab Emirates', 'Argentina', 'Armenia',\n", + " 'Antigua and Barbuda', 'Australia', 'Austria', 'Azerbaijan',\n", + " 'Burundi', 'Belgium', 'Benin', 'Burkina Faso', 'Bangladesh',\n", + " 'Bulgaria', 'Bahrain', 'Bahamas', 'Bosnia and Herzegovina',\n", + " 'Belarus', 'Belize', 'Bermuda', 'Bolivia', 'Brazil', 'Barbados',\n", + " 'Brunei', 'Bhutan', 'Botswana', 'Central African Republic',\n", + " 'Canada', 'Switzerland', 'Chile', 'China', \"Cote d'Ivoire\",\n", + " 'Cameroon', 'Congo, Dem. Rep.', 'Congo, Rep.', 'Colombia',\n", + " 'Comoros', 'Cape Verde', 'Costa Rica', 'Cuba', 'Cyprus',\n", + " 'Czech Republic', 'Germany', 'Djibouti', 'Dominica', 'Denmark',\n", + " 'Dominican Republic', 'Algeria', 'Ecuador', 'Egypt', 'Eritrea',\n", + " 'Spain', 'Estonia', 'Ethiopia', 'Finland', 'Fiji', 'France',\n", + " 'Micronesia, Fed. Sts.', 'Gabon', 'United Kingdom', 'Georgia',\n", + " 'Ghana', 'Guinea', 'Gambia', 'Guinea-Bissau', 'Equatorial Guinea',\n", + " 'Greece', 'Grenada', 'Greenland', 'Guatemala', 'Guyana',\n", + " 'Hong Kong, China', 'Honduras', 'Croatia', 'Haiti', 'Hungary',\n", + " 'Indonesia', 'India', 'Ireland', 'Iran', 'Iraq', 'Iceland',\n", + " 'Israel', 'Italy', 'Jamaica', 'Jordan', 'Japan', 'Kazakhstan',\n", + " 'Kenya', 'Kyrgyz Republic', 'Cambodia', 'Kiribati', 'South Korea',\n", + " 'Kuwait', 'Lao', 'Lebanon', 'Liberia', 'Libya', 'St. Lucia',\n", + " 'Sri Lanka', 'Lesotho', 'Lithuania', 'Luxembourg', 'Latvia',\n", + " 'Macao, China', 'Morocco', 'Moldova', 'Madagascar', 'Maldives',\n", + " 'Mexico', 'Marshall Islands', 'Macedonia, FYR', 'Mali', 'Malta',\n", + " 'Myanmar', 'Montenegro', 'Mongolia', 'Mozambique', 'Mauritania',\n", + " 'Mauritius', 'Malawi', 'Malaysia', 'Namibia', 'Niger', 'Nigeria',\n", + " 'Nicaragua', 'Netherlands', 'Norway', 'Nepal', 'New Zealand',\n", + " 'Oman', 'Pakistan', 'Panama', 'Peru', 'Philippines',\n", + " 'Papua New Guinea', 'Poland', 'Puerto Rico', 'North Korea',\n", + " 'Portugal', 'Paraguay', 'Palestine', 'Qatar', 'Romania', 'Russia',\n", + " 'Rwanda', 'Saudi Arabia', 'Sudan', 'Senegal', 'Singapore',\n", + " 'Solomon Islands', 'Sierra Leone', 'El Salvador', 'Somalia',\n", + " 'Serbia', 'South Sudan', 'Sao Tome and Principe', 'Suriname',\n", + " 'Slovak Republic', 'Slovenia', 'Sweden', 'Swaziland', 'Seychelles',\n", + " 'Syria', 'Chad', 'Togo', 'Thailand', 'Tajikistan', 'Turkmenistan',\n", + " 'Timor-Leste', 'Tonga', 'Trinidad and Tobago', 'Tunisia', 'Turkey',\n", + " 'Taiwan', 'Tanzania', 'Uganda', 'Ukraine', 'Uruguay',\n", + " 'United States', 'Uzbekistan', 'St. Vincent and the Grenadines',\n", + " 'Venezuela', 'Vietnam', 'Vanuatu', 'Samoa', 'Yemen',\n", + " 'South Africa', 'Zambia', 'Zimbabwe'], dtype=object)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 178 + } + ] + }, + { + "metadata": { + "id": "6sGXZZDI4E1q", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# USA as variable datafreme\n", + "usa = df[df.country=='United States'] # boolean indexing" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "BBJUNzLl4E1s", + "colab_type": "code", + "colab": {}, + "outputId": "f3943ed7-86bc-4750-98e5-7bc5b7dc6e32" + }, + "cell_type": "code", + "source": [ + "usa[usa.year.isin([1818, 1918, 2018])] #getting usa in certain years" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
393991818225839.419879049United Statesamerica
394991918937147.18106721812United Statesamerica
3959920185489879.14326766748United Statesamerica
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" + ], + "text/plain": [ + " year income lifespan population country region\n", + "39399 1818 2258 39.41 9879049 United States america\n", + "39499 1918 9371 47.18 106721812 United States america\n", + "39599 2018 54898 79.14 326766748 United States america" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 180 + } + ] + }, + { + "metadata": { + "id": "mdtsJkGP4E1w", + "colab_type": "code", + "colab": {}, + "outputId": "06dbd57d-3764-4574-ac27-5ef4f4ab95ba" + }, + "cell_type": "code", + "source": [ + "china = df[df.country=='China']\n", + "china[china.year.isin([1818, 1918, 2018])]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
7120181898532.00374161494Chinaeast_asia_pacific
7220191898922.13462444535Chinaeast_asia_pacific
732020181601876.921415045928Chinaeast_asia_pacific
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" + ], + "text/plain": [ + " year income lifespan population country region\n", + "7120 1818 985 32.00 374161494 China east_asia_pacific\n", + "7220 1918 989 22.13 462444535 China east_asia_pacific\n", + "7320 2018 16018 76.92 1415045928 China east_asia_pacific" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 181 + } + ] + }, + { + "metadata": { + "id": "BdGWWudB4E11", + "colab_type": "code", + "colab": {}, + "outputId": "ec85a8f8-e086-4407-80f4-f244da8951e5" + }, + "cell_type": "code", + "source": [ + "# all for 2018\n", + "now = df[df.year==2018]\n", + "print(now.shape)\n", + "now.sample(10)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "(188, 6)\n" + ], + "name": "stdout" + }, + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
15792018866275.972934152Armeniaeurope_central_asia
77582018317061.2224678234Cameroonsub_saharan_africa
7977201875162.4284004989Congo, Dem. Rep.sub_saharan_africa
2580420181210068.693121772Mongoliaeast_asia_pacific
51302018697573.9711215674Boliviaamerica
556820181603776.84286388Barbadosamerica
417892018195260.1816913261Zimbabwesub_saharan_africa
1721620181165072.03266794980Indonesiaeast_asia_pacific
2689920182724875.9132042458Malaysiaeast_asia_pacific
2646120182100374.891268315Mauritiussub_saharan_africa
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" + ], + "text/plain": [ + " year income lifespan population country \\\n", + "1579 2018 8662 75.97 2934152 Armenia \n", + "7758 2018 3170 61.22 24678234 Cameroon \n", + "7977 2018 751 62.42 84004989 Congo, Dem. Rep. \n", + "25804 2018 12100 68.69 3121772 Mongolia \n", + "5130 2018 6975 73.97 11215674 Bolivia \n", + "5568 2018 16037 76.84 286388 Barbados \n", + "41789 2018 1952 60.18 16913261 Zimbabwe \n", + "17216 2018 11650 72.03 266794980 Indonesia \n", + "26899 2018 27248 75.91 32042458 Malaysia \n", + "26461 2018 21003 74.89 1268315 Mauritius \n", + "\n", + " region \n", + "1579 europe_central_asia \n", + "7758 sub_saharan_africa \n", + "7977 sub_saharan_africa \n", + "25804 east_asia_pacific \n", + "5130 america \n", + "5568 america \n", + "41789 sub_saharan_africa \n", + "17216 east_asia_pacific \n", + "26899 east_asia_pacific \n", + "26461 sub_saharan_africa " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 182 + } + ] + }, + { + "metadata": { + "id": "UC1nlR3R4E15", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "sns.relplot?" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "QjUwxuNh4E18", + "colab_type": "code", + "colab": {}, + "outputId": "3bd90b7f-62ff-443a-d7d1-0081f4c1ef8f" + }, + "cell_type": "code", + "source": [ + "# plotting income, lifespan, population for now dataframe\n", + "sns.relplot(x='income', y='lifespan', hue='region', size='population', data=now);" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "metadata": { + "id": "C0lzK0dl4E1-", + "colab_type": "code", + "colab": {}, + "outputId": "99efc532-5588-454d-b727-be29cd6420c8" + }, + "cell_type": "code", + "source": [ + "# playing with ploting options\n", + "# using 'size' and 'sizes' to increse buble size manually\n", + "sns.relplot(data=now,\n", + " x='income',\n", + " y='lifespan',\n", + " hue='region',\n", + " size='population',\n", + " sizes=(5, 200));" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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X1kWorI8Q8HoozAp2WwnV7laQsXUF8kZpfi9n7zOawswgD36wnEgszsnTtuO0PUaQne7v7e4ZY0yfMKADeiQW57qXlnLZoeM4a5/WI8BkLVhVzukPfMLg7CAvXrwv22TbIq3ulpcR4LQ9R/K9yUNRlNxQAL9NtxtjzCYDOqDnZQR447LvdDkwrKuoA6C8NkK8778FuNXyesRKyhpjTBsGdED3ez0MTnI0vbGynmhcyc8IkNYia9ghE4cwKDPIyIIQeSGbAjbGGNPzbM4yCWU1YX786DwOuPktKmojrfbnZwSYseNgxm6TRbBFsK+trOCL999h3f++pKG2+0ushlevpuzxx4kWF3d728YYY7YeA3qEnqz0gJeZ+49h8ZoK/FtQcSseizHnhaeZ++IzAJz953sIhkIdnJW8aFkZay+/nLr5C4isXcc2P7u029puqq4qDEB6ViAl7RtjjOk6C+hJSPN7OWTiYGbsuA1ej4fayjCxcBRffSUUbyC400QiUcHjFfzN3pdWIvWba2jHoq0zwnWFJz2d7KOOIrJuPZkzDurWths11EV5+7EvQeHAH00gaI8UjDGmT7KAniQRwStCNBzj3Se+Ytn8In507TRC2+ZSXxfnzUe+YNB2WUydsS1pmc5I1uP1sfdJPyB3yFDyhg0nMz+/W/vkSUsj55hjyDrkELw5Od3adiOvV9hxn2GgWD1wY4zpwyygbyGv38PuR45mzM4F+L56Ds/Cu+DYJ1mxpIQVS0qYtP+wZseHcnKZduRxW3wdjccRT8cB1JuRgTej+1LEtuQLeBm5U0HK2geIxeI01EQJpHnxJcgIZ4wxpmM25NpCIkL+0Ax2mJRGcNVrMOEo/BnpjN9jCPuevAO+gJeainJK16xm1WeLWfPF51QWbaS+uqrddjdW1rO23Hn9LbxqFRtuuIFoSckW9y+ydi1Ff72TaGlpp+6vN5SureH5P89n1dJSYrF4b3fHGGO2SjZC76xQHnLMnSA+/MEMDjgth2i4nmXz3uPjZ56gdO3qZoePmLwz+556BvnDhhMMNR9Rl9Y08OWGKq5/eSmPnD2dzKIiqt95l4LzztvibkVLSqie/SZ5p57SpdvrSd8uKKJ0bQ1LP1jHthPy8FrCGGOM2WJWD72b1FZW8Npdt7Ns3iebtnm8Xg770blk5w/i1Ufvp2LDeg46+0Im7ndAs6DeEImxtqKO+9/7lp8ePI48iaJ1dXgLCrY4jWy8ro54bS2+gtROk3en2sowq5aWMHxcHpl5/TvLXl11FbFwhLSsTHx+e2tgK9M3czob47KhUDdoqK3hvccfaRbMAUbvMo38lWuJ3Ppn9jvyeADefOAu1n71RbPjgn4vowdlcvVROzEoM4g3IwPfoEGdygnvSU/fqoI5QCg7wPg9hvb7YA5Qvm4t911yDvVV7T+CMcaYLWUBvRs01Nay5M3XW20vWb2K4L77kP3jC1j1zdebtr/1yH3UVJS3Ot6XgqnmaEkJ5U8/02PP1MMNUb6as571y1rXLzeQM3gIJ191A76Ajc6NMd3LAnoXxWNRPnv7v6i2XsxVvn4tT/zlj8x68xVKNq4nb+hwAErXrKKipISymnDK+xctKWHdb35DvLo65dcCiEeV5YuKWb+sArXE9q2EsnMYNm4CaZlZvd0VY0w/Y4viuqihtpZv53/a5v78EaOZdOpM3vmmnIlDMtBlC5j72P18OX8+ulMmB00YnNL++QYPYexbs/Gk8NW2ptIy/Ox/yjjEI4infzxyrK0ME66Pkp4VIJhu/8sYY/om++3URapKNNyQcJ/H62XXH17AMfcvoiYcA+CO4yczfMJOxBvqKcxMfeUwX0425GSn/DpNNSbW6S8WvbmKT19dwel/2NsCujGmz7LfTm2orQoTrosSygoQaOeXuNfnI5SdOEtbenYOK0tqNwVzgLe+reaQocMpHLIN2xdmdnu/Tfeb9J3hDNshF3/Qkt4YY/oue4behsWzV/PoVR/RULc5/3ppTQMvLFhLcdXmEXkwlMHUw45M2EZdZQUjCzLIDG7+QHDYxELK165h1JRdyAja56mtQWZeGiN2KiAtw/LYG2P6Losobdhpv2EMHp3drNhKJKZc8+JnPDZzTwZlbZ4uHzJ2HMGMDBpqapq1EY/FKP3sU56buR/vfFnMhMFZDA0KK8aN69aqa8YYsyVE5Ghgoqre2Nt9Md3HEstsgWgsTmltmIyAr9noOhaJsHzRfJ676Vpngwi4P9fdjjiRGNOp2FBHTUWYSfsPYofd88nM27reFTfG9M3EMuIkrBBN9KqNGVAsoHeThtpaVn/xGdmBIOnpGaxev47X7/0L/rQ0jr38BhbNLiM9y8vUQ0aQkZuGx7N1PY8tqW4gFPSS7rdJHTNg9ZmALiKjgFeA2cBewJ+BC4Ag8A1wlqpWi8j3gD8BxcA8YIyqHikiZwLTVPViERkJPAAUAkXuuStF5CGgEpgGDAF+oapP9dhNmi1mz9C7STAUYuTkqcRfmcWqo48hd+hI9j7vUuqrKnn/yXvYeUYm0763HVn5GVtdMC+qauDMB+fw1YaeeZfdGJOU8cAjwCHAOcDBqrorMBf4mYikAXcD31XVfXECdiJ/BR5R1SnAo8BfmuwbCuwLHAnY9HwfZ8OtNkTLK6j98APSp07FP3Roh8dX1IVZWVJH1hnnM+jQ7/Le6mr2njKFc//6AB6vt82V8J2l8Ti15WUUr15J4agx3d5+U16PcPyuw3vkNTtjTNJWqOpHInIkMBF4300XHQA+BCYAy1T1W/f4x4CZCdrZCzje/fofwE1N9j3nTuV/LiKpTZphuswCehsiCBUffYLG4+QccUS7x9Y2RCmpDnPUX98jze9h1k/3Z69RHgbnpAOpSegSrazk/X//k8WzX2f6cSez36mnp+Q6APkZAc7aZ3TK2jfGdErjKlwBXlfV7zfdKSK7dLLdps9hmybZ6DOPHExiNuWeQGV9hAfnb2TO0WcT2O87HR5fUR+htCbMpOHZ7LdDIZ+uLOf1zzcQT2HqUxEPYybvQlZBIaN33jVl1zHG9HkfAfuIyFgAEQmJyDjgC2CM+7wdoK2ayh8Ap7pfnwa8l7qumlSyEXoC0VichavLKcsP8d3JHU+3ryqt5edPLuLig8ZSXR/ld88vYdeReRy/67Zdetc8WlwMgG/QoFb7fDnZjJi6K6dNnEQwwxLUGDNQqWqRu8jtMRFpfC72W1X9SkR+DLwqIsXAJ200cQnwgIhcjrsoLuWdNilhq9xbqClv4NPXVjD2gGGkZ/jJS+K58dryOvb945s0HZBfdeREzth7FN4m+cwbaqNUFNWSkRskI6f9dqMlJayaOZNYZRWjHvtXwqBujOlRW92Us4hkuqvdBbgT+FpVb+vtfpnUsCn3Fr6Zv5HFs1cz+29LCMaT+/83J93PnaftSn5GAK9HOG6XYRwzdVizYA4QDcd4+o+fsuTtNUQrOigv6vHgGzwEX2Gh8177FopVVREtLkbj9mqqMQPYeSKyAPgMyMFZ9W76qZSN0EVkPPBEk01jgKuAXOA8nKkdgCtU9T/ttdWTI/Tqsnree/Jrdtx7KNkjs8h2g3RHIg1hGiqrqUvLIM3vISutdZrQSEOUuqoIlBVR8ttfsN2df2135B0tKwNVfPn5W34f77/P2l/8kjHPPet8KDDGdNVWN0I3A0vKRuiq+qWqTlXVqcBuQC3wrLv7tsZ9HQXznpaZl8aMMyYS3DaD4+/+kOLqxJXUWoqvXkXJ5ZeRV1+VMJgD+IM+snL9+MNVFP7kYqSD9K++vLxmwTxaXk7Vf98gUlTUzlmO4JgxDLroIvDZMgljjBkIeuq3/QzgG1VdIZ2YPk61+ppqaspKqa+pIW/oMELZOUiDsP8Og5IanQOIP4Bv8GDo4Hjx+UjfaadO9VMjEdb++tcMv+1P+DsYdfuHDiX/B99v9xhjjDH9R48sihORB4B5qvpXEbkaOBMnpeBc4DJVLUtwzkzcJAgjRozYbcWKFSnr3zeffrIpD/vUQ49g3x+cQTA9hKoiIhCLQm0JpOWCP/FiNlVFw2E8wS1PvlIdrubzks8ZkT2CIRlD2jxOo1GiZWV4AgG8OalLJGOMSajvjUaMaSLli+JEJAAcDTzpbroL2B6YCqwDbk10nqreo6rTVHVaYYqfAX87f/Pz+ZVLFhINO9Pssbjy4TfFPP7pGqoWPAe1xW22ISKdCuYA9bF6rvrgKj5c+2G7x4nPh7+w0IK5McaYVnpilft3cUbnGwBUdYOqxtx0gvcC03ugD+2aeugRBNLTQYQ9jjuZYLqT3S0SU55fsJZHPlxJeMzB4Auk5PoFaQX883v/5MDtDkxJ+8YY0xki8kFv98EkL+VT7iLyOPCaqj7ofj9UVde5X18K7KGqp7bXRqpXucdiMeoqK9B4nGAowwnurpLqBuIKhVmWx9yYAa7TU+6jfvXyD4A/ACOAlcAVy2884l/d1bHuJiJeVY31dj/MlknpCF1EQjiVgJ5psvkmEVksIouAA4FLU9mHZHi9XjLz8skqGNQsmAMUZAYpzAra+9zGmE5xg/m9wEicDwUjgXvd7Z0mIs+JyKci8pm75ggRqRaRP7rb/ysi00XkLRFZJiJHu8d4ReRmEZkjIotE5Hx3+wEiMltE/gUsbmyvyfV+4f7uXigiN7rbznPbWSgiT7u/800vSekqd1WtBQpabPtRKq+ZCtHycsqfeIKMffYhfdKk3u5OM5XhSmLxGHlpeb3dFWNMYn8AWga6kLu9K6P0s1W1VETSgTki8jRONai3VPWXIvIscB3OoGoi8DDwAk6p1QpV3d1NFfu+iMxy25wOTGpSoQ0AEfkucCzOjGqtiDS+T/uMqt7rHnOd2/YdXbgn0wWWKS4ZsRhVb86m/ssvU36p8towdZFo0se/suwVrv3wWioaOsg8Z4zpLSO2cHuyLhGRhTjFWbYDdgDCwKvu/sXA26oacb8e5W4/FDjdzSD3Mc6gawd33yctg7nrYOBBd5CGqpa62yeJyLsishinsEvn3sk13cKyjuC8NragaAEjskaS4xtMTqj54jdfQQHb/e1vSCBxwpjuUlLTwG+eXcJpe4xgvx2SW9m/+5DdGZY5jIAnNQv2jDFdthJnmj3R9k4RkQNwguxe7oj5LSANiOjmhVFx3PKnqhoXkcbf9wL8RFVfS9BmDYkJzcuqNnoIOFZVF7oFYg7o3B2Z7mAjdCAcD3P3wrt5f/XHPPjBckprwq2O8RXk483KSmk/vCLsOiKPwdlpSZ8zJncM+227H+n+9I4PNsb0hitwMmU2Vetu76wcoMwN5hOAPbfg3NeAC0XEDyAi40Qko4NzZgFnNz4jbzLlngWsc9s6bYvuwHQ7C+hAflo+t37nNob4d2d5SU23Z4+IlpUR2bCBeG3L/6ebyw0FmLn/GMYNTu0HB2NMz3FXs58HrMAZ5a4AzuviKvdXAZ+7uPj3ONPuyboP+ByYJyJLcAq2tDtbq6qv4jx/n+tO1f/c3XUlzrT96zj1100vsvKpTVTWRVCFnFD3Tq1XvPwyay//BWPf+C/+oR3XVzfG9EmWKc70aQPnGXo8DlXrYP4/IS0LJp0AmYObHZKdnppn5OlTp1Iw8zwkYM+5jTHGpMbAGaFXrYe79nZysgMMmQw/fBYy+2dp0UgsTjgaJyM4cD6zGZNiNkI3fVq/fYYej8XYuPwb1n/zFbFoFMpXbg7mAOsXQ6StBZ1bv8/WVHDNi58lXOBnjDGm/+m3AT0WjbJg1it8+vLzRCNhyBoCTUu3puWBr3U612VF1Tz8wXJKkqyD3leJiFv6te/PwBhjjOm6fj3lXlvpJFsJZedAQxV8Mxv++zvqdzyBkl0vIRgIMChr8ytiDdEYl/17IS8tWsc7lx/AiIKO3uTou6KxOOFYnFDAptyN6SY25W76tH4d0FuJx6C2hI2xDPa56W2OmDyMm06cQsC3eaJiQ2U9q8vq2L4wg9yQLWIzxmxiAd30aQNr+ObxQuY2pNVFeOTsPdg2L71ZMAcYnJ22RYldjDHGmL5gYAV0V3a6n722L+j4wBbqqsLEonE8Pg+hLBu9G2OSdHVOq/KpXF3Rq+VT3VSvYVX9wP3+IeAlVX0qBdcJq6RfAAAgAElEQVS6D/iTqn7e3W2bzQZkQO+Muqowbzy8lBVLShg6NofDZ04mlG1B3RjTASeY38vmimsjgXu5OodeDuoHANXAB6m+kKqem+prmH68yj0ZqkqsqqrZtkgszsaqeirqIs22N9RFWbHEee1t3f8qqK3culfBG2N6THvlUztFRDJE5GW3DvkSETlFRGaIyHy3ZvkDbmlURGS5iAxyv57m1kcfBVwAXCoiC0RkP7fp/UXkA7d++ontXD9TRN4QkXnu9Y5pq1/u9rdEZJr79V0iMtet435NZ38GprUBHdCj69dT8uKLrFqyiKqSIgDKasLc9MIi/KXFRNavJ15fD4A/4CUY8uHxCtvvWkhGXnKj82h5OdGyspTdgzGmz0tF+dTDgbWqurOqTsLJ7f4QcIqqTsaZfb2wrZNVdTnwd+A2VZ2qqu+6u4YC+wJHAje2c/164DhV3RU4ELhVRKSNfrX0G1WdBkwBviMiU5K9adO+ARHQVZWGjSVENhY13x6P4x01kjcfuptVny0GIODzcM13tmXldw/nf4ccSswNxulZfk69ajrfv2oS+dt8yVsP3cmKxQuoq6ps87qxyko23nwL6668kmhZeepu0BjTl7VVJrXT5VNx6psfLCJ/dEfXo4BvVfUrd//DwP6daPc5VY27z7oHt3OcAH9wi8P8FxjuHt+sX6pakeDck0VkHjAfp376xE700yQwIAJ6Q1U9pQ8/zIrvf59ocfGm7f4hQ8iZNJkTr7yO0bvuDjgVzwJeQeNxJ/+7+1qfx+sBreXJa3/JisXzWb5wHk9d91vm/ecFwg31iS/s8eAfMgT/8OGIx954MWaA6vbyqW7g3g0ngN4AHNPO4VE2/67v6BWeps8S2/uldRpQCOymqlOBDUBay36JyFVNTxKR0TiV2mao6hTg5ST6ZJI0MBbFeTykT90FGurA6920WbxefNnZrX4I3rw8xs56DVTx5uVt2r584Tymnnwmn2shh47M4qXf/R9zXnyaKYd8l0Cw9b9Jb2Ym+Wef5bSTmdmprsdqaohXViKBAL6CLV+Zb4zpZVdX/Iurc6AbV7mLyDCgVFX/KSLVOM/DR4nIWFX9H/Aj4G338OU4QfYV4IQmzVQB2Z3sQg6wUVUjInIgzkK/RP06s8V52UANUCEig4HvAm91sg+mhQER0NMyg/gP2Jfs/ffGE2yd7rUlT1oanmHDWm2vLi0hZ8ddefjlNUwamkkwPURNeRmxaIwNFfXkhvwE/d5m53gzupZtLl5ewf8OPpicE05gyJW/Tar/xpg+xgne3bmifTJws4jEgQjO8/Ic4EkR8QFzcJ6RA1wD3C8iV+DULm/0IvCUu6DtJ1t4/UeBF0VkLrCAzbXQE/VrE1VdKCLzgc+AZcD7W3hd044BEdABvP6ul0Ydt8c+vPSXm7jluB+x9q0XqCkvY8jYcdSphwNuns07vziQwS0CeldJMEDmAd8h+5CDEd+A+c9ljGmHqr4GvJZg1y4Jjn0XGJdg+1c4C9Mavdtif5vTiqpaDOyVYNfyRP1S1QOafH1mW+2arhlYqV+7qKG2lhWL5/Pmg3dTU1bKiMk7M+Oiy2mQIPXRGPkZQXJSUFM9Vl2NBIN4uuFDiTGm02whjOnT+v+Qr74SVn4A1RvR8UcQj/nxZnfusVEwFGLstD0ZPn4iqnF8/iBlUS/73jSbV/9vv5QEc6DTz9+NMaYrRGQy8I8WmxtUdY/e6I9pX/8P6JFaeOxUZ7X6RXuz5tc3MuyGG/AVFnaqOY/XS0bu5oVyaTVhnrpgL/IzLWucMaZ/UdXFwNTe7odJTv8P6L40OOLPULWWuASJFhXTnY8Z8jIC5GWkPphHy8ogHreV7sYYYxLqtwG9vqaaquIi0rKyyNrtDFBFYjFGPHA/3vz83u5e0jQep+Gbb1h/5VXE6+oY/JsrSJ8yBU+avbppjDFms36bWKa+uopHfvETnr3xGmoqK8DjweP34ysowMlQuHWIlZay+oILqVuwgIYvv2TVzPOJVbSdnc4YY8zA1G8Duj+YxuhdpjHl4MPxu+9u10ZqicajvdyzLaNxJbpx4+bv6+vRaKSdM4wxZjMRuVpEfp6itjcVfumLRKRQRD52i9bsl2D/fSLSb1LP9tsp94zcPI645HK8Ph++QJDS+lJunXsrp088nfH543u7e0nzZGaQf9ZZlNxzDwAZBx6IJ9SycJMxpi+b/PDkVvXQF5+xuFfrofc2EfGpaqpHWDOAL1T1jATX9/a3sq79doQOEAxl4As4o3NBCPlCeGVz4pdwfT0bln1NdWnJpm3RcANVJcWUrVtDbWXvT217QyHyzz6LMf95mdHPP8ew66/D1yQdrTGmb3OD+b046VHF/fted3untFE+tVWZ1Can7Cwib4rI1yJyXjvtDhWRd9ySqksaR7UdlDz9SZMyqhPc46e7ZVjnu3+Pd7efKSJPisiLwKx2yrCOEpGlInKve81ZIpLeTr/PE5E57s/jaREJichU4Cbge+79pItItYhcKyIfA3u1KOt6uNuPhSLyRnv30Vf164DeVF5aHpfsegle8bKx1pnCjtTX8cqdt7FswadES0sJr1lD3YYN3H/JuTzw0/N559EHqK+u6qDl5Gk83qkV9r7cXIJjxpA2fjy+rWhBnzEGSEE9dJIrU9rUFOAInOxuV7k51xP5AfCaW3BlZ5y0rtB+ydNit4zqXTiFV8BJBbu/qu4CXEXze90LOENVD6LtMqwAOwB3qupOQDnN89C39Iyq7q6qOwNLgXNUdYF77SfcErF1QAawRFX3UNX3Gk8WkUKcD10nuG2clMR99DkDJqADNMQa+OErP+SxpY8BzrT8SVdez7hdp1N89z18M+NgGj6Zw9BxOwLw2dtvEI10z/PqWGUlpY88Qs37H6CxWLe0aYzZKqSiHnoyZUqbel5V69yUrbOB6W0cNwc4S0SuBiarauOIpr2Sp8+4f3+KU8YVNueVXwLc5p7T6HVVLXW/bqsMKzjlYBs/UDRtO5FJIvKuiCzGqQS3UxvHxYCnE2zfE3hHVb8FaNK/9u6jzxlQAT0nkMOzxzzLDyf+cNM28XhYvmge6n4o9KWloRoHYLuJk/F2U/50jUapmvU6tZ98YgHdmIGl2+uht1GmtL0yqS2nBhNOFarqOzh11NcA/xCR05MoedpYcjXG5nVZvwdmu7MHR7U4vqbJ1wnLsLZot2XbiTwEXKyqk3GK0bT1Xm+9qib6BSwk/pm0dx99TsoWxbnPGp5osmkMzpTFI+72UTiJ/E9W1bJU9aMpv9fPNqFtmm1rqKnh1bv/wvfO/jEjTj4Rf24uh+w8meqyEgpHjCE9q7PVBZvz5eez7R1/Aa8XT8CyyhkzgFyBM53bdNq9S/XQ2yhTupzEZVIBjhGRG3CmnA8AftVGuyOBNap6r4hkALsCC9nykqc5OB8KoHUJ1ZbHtSrD2glZwDoR8eN8SFjTwfEtfQjcKSKjVfVbEcl3R+nJ3kefkLIRuqp+6T63mIrzj6wWeBbnH9IbqroD8AZt/MPqKYFQiKHjduTtZ58gHEonkF9AwbYjGDl5F0I5Od16LV9BAb7c3G5t0xjTt7mr2c8DVuCMAlcA53Vxlftk4BMRWQD8BrgOZ2R6u4i8izOibeoTnJH1R8DvVXVtG+0eACxwS5yeANyuqgtxpto/Ax4guZKnN+HMHLwPtFeC8lFgmluG9TQ2l2HdUlfilIZ9vTNtqGoRMBN4RkQWsnkwmux99Ak9Um1NRA4Ffqeq+4jIl8ABqrpORIYCb6lquysHU11trbayEo3HCGXnIJ4B9RTCGJO8rScjlRmQeip6nQo85n49WFXXAbh/b5PoBBGZ6b4mMbeoqKhLF1dVasobqCiqIxJu/fgklJ1NRpoPqS2BmmKI1HXpesYYY0xPS/kIXUQCwFpgJ1XdICLlqprbZH+Zqrb7YnVXR+i1VWFe/MsCStfU8KM/7EVmrruuQRVqNkLJN/D+7VC+Ajw+2HZ32PPHEMqHkBVDMcYA/WiEvrWWRRWRO4F9Wmy+XVUf7I3+9DU9kSnuu8A8Vd3gfr9BRIY2mXLf2M653cIf9LL7EaMpWVON1+dOSsQiTiB/9ASoWN38hPWLYe4DMOYAOP4eyBzcskljjNlqba1lUVX1ot7uQ1+WVEB3X7o/D2dl+qZzVPXsJE7/Ppun2wFeAM4AbnT/fj7JvnaaP+BlzNRCRk8ZhHjcD9ml38J9MyBc3faJy96CfxwPP3oOMjtXP90YY4zpCcmO0J8H3sV58T/pl6hFJAQcApzfZPONwL9F5Byc9zBPSnRuKohHqCoppqGmiqzlrxJsL5g32rAE5j0M+/wUvP029b0xxpitXLIRKqSqv9zSxlW1Fihosa0EJ2F+j6urruI/d9zC6i8+Y+b11xJM9sSP74JdfgRZNvVujDGmb0o2oL8kIt9T1f+ktDcpFkhP54DTz2XjN0vxbVyY/Ik1xVC51gK6McaYPivZ19b+Dyeo14lIpYhUiUjvlyLbQl6vj8EjRjI5sJT0WT/dspNruvbqnDHGmOSJSK6I/LiT53ZbnXa3OtvB3dFWqiU1QlfVrFR3pMd4vER9aVQfci2Z38zG982byZ3nb7NynzHGtGvphB1b1UPf8YulvVIPXXqmDnl3yAV+DPyt5Q5xapn3SFEMVb2qJ67THZJOLCMieW5t2P0b/6SyY6kSQ1k4ejoXl3/C4v0uJjZqv45P8nihYEyrzfF4PAU9NMb0J24wb1UP3d3eaSLyQxH5xK31fbeIeN287o37TxSRh9yvHxKRP4nIbOCPIpIvIs+JyCIR+aixHKqIXC0i/5AEtdNF5HK35vgiaV0TvWXfTnePWygi/3C3Fbq1yue4f/Zpcs0H3Nrky0TkEreZG4Ht3fu7WUQOEJHZIvIvnKI0uPfwqTg102duwc+u1Xnuz+8hcerALxaRS5v87E50v77K7fsSEblHRPpUboJkX1s7F2fafVuc+rh74iSzPyh1XUuNumgdd3/2AAuLFnLP/57ilhF7kLH83fZPGn8kBJpPUpSuXc3iN15j92NOJJTdvTnfjTH9Snv10Ds1SheRHYFTgH3cwiZ/w8mF3p5xwMGqGhORO4D5qnqsiByEUzSr8b30KTi/4zOA+SLyMjAJpz75dJwPJS+IyP5udbaWfdsJJ7/8PqpaLCL57q7bgdtU9T0RGQG8Buzo7puAUw89C/hSRO7CqfMxya0Hgogc4F5/UmOZU+BsVS0VkXRgjog87S687kir83Beyx7uVlZDRBIV3virql7r7v8HcCTwYhLX6xFb8gx9d2CFqh4I7AJslQ+VM/wZ/Hy3yzhk5CFctuMZhP7XwZS7Lw1mXAlpzauuVZeVsurzxaiN0o0x7UtFPfQZOEWv5rgFWmbgVLRsz5NNpqn3xc0Up6pvAgUi0jgySVQ7/VD3z3xgHk4A3qGN6xwEPOWe37S2+MHAX93+vgBki0jjSOllVW1wz9nI5proLX3SJJgDXOIWU/kI2K6dPrWU6LxlwBgRuUNEDgcSrRM7UEQ+Fqfu+kH0sfroya5yr1fVehFBRIKq+oU45VH7vDo3L3u6+wxcRBiXP54b9/wdgc+egbXz2j7Znw4/fBZyW1f0G7L9OI7/1dWEcqx6mjGmXStJXBa00/XQcUbJD6vqr5ttFLmsybcta3c3rUOeaKpYW/zddLsAN6jq3Un2LVFOcQ+wl6o2K5bhzlonW/t80z24I/aD3TZrReQtkqhX3tZ5qlomIjsDhwEXAScDZzc5Lw3nef40VV0lIlcnc72elOwIfbU7/fAc8LqIPI+Tn71Pq2yo5N7F93L/kvupDDf/sBVIy4GJx8HMt2D890Ca/CiCWbDXT+CiT2D4buBrXb88kJZmwdwYk4wrcMpHN9Wleug4padPFJFtANxn4iNxUmvvKCIe4Lh2zn8Hd4reDXDFqtr4S/IYEUkTkQKccqpzcKbHzxaRTPec4Y3XbqNvJ7vn02TKfRZwceNBItJR6tkqnCn4tuQAZW5QnoDzmCAZCc8TZ1W8R1WfxinHumuL8xqDd7H7czgxyev1mGRXuTf+w7jaXVSRA7yasl51k5jGmLN+Dh7xcNqOLR4v1VdAuAaC2XDEn+CoP0NDNYoQ86XR4MshIyOjdzpujOk3dvxi6b+WTtgRunGVu6p+LiK/BWa5wTuCM6r8FfASsApYAmS20cTVwIMisgjnw8UZTfY11k4fweba6Wvd5/YfuiPqauCHJKjFoaqficj1wNsiEsOZpj8TuAS4072mD+dDxQXt3GOJiLwvIkuAV9w+NfUqcIHb3pc40+fJaOu84Tg/k8bRXbPZD1UtF5F7cRbkLcf5oNOnJF1tTUR2xXnuosD7qtrOXHX36my1taqGKupidXjFS0F6k4R19RXw0V3w9o1OxbVB4+CMFyFrCEVV9Rx4y9vcevIUDttpaKf7XFPewLKFRYyaPIis/D41K2OM6Zw+taI5Fdxp5GpVvaW3+2K2XFJT7iJyFfAwThrXQTifYn6byo51VVW4ioc/f5jFxYvJC7aoztpQtTmYAxR/RXzO/TTUVJHm9/LE+Xuy28j81o0mKRaN88Ez/+Odx77i7X99Sbhua3jl0xhjzNYs2UVx3wd2UdV6ABG5EWel43Wp6lhX+cXP4aMOZ2npUqoj1WQHm6xSj9RtDuYuKf2W6pIiCkaMYadhXXsNzeMVxk4bzKqlpYydtg0+f9Kv+xtjTK9R1auTPdZ9Rv5Ggl0zknx1LKX6ev9SIdmAvhxnQUC9+30Q+CYVHeouaf40Pi/9nPsW38few/ZusTMH8sdA6bJNm3T6TEJ53VMiVUTYdnwup/x2Ov40Lx6fBXRjTP/iBsU+W1O9r/cvFZJ6hi4iz+G8h/46zjP0Q4D3cBdEqOolbZ/ddZ19hl7RUEEkHmFQeoKUvpXr4JN7oHwF7PljKBzvrG43xpjE+v0zdLN1S3aE/qz7p9Fb3d+V7pcT3Dx1Xh2upi5aR8AbcLZnD4WDfgOxGPiTLqRqjDHG9EnJvrb2cOPXIpIHbKeqi1LWq24WjoWZtWIW13x4DadNOI0Lp15IViALPD7nTw8oqi1CUQrTCxsTKRhjjDHdJtlV7m+JSLabIGAhzir3P6W2a92noTrGpNDOTMibwOsrX6c+Wt/xSd2oNlLL9R9fzxXvXtEqwY0xxhjTHZJdrZXjZhE6HnhQVXfDSZ3X59VVhXnlziW8f/s6bp1+OzfvewshbSvXQmqE/CF+u8dvuWG/G5o9BjDGmFQRkaNF5Fdt7KtuY3vTymJvici0VPaxLSIyVUS+1wPXuaLJ16PcJDZdbbPQzfc+X0RalfMUkftEZGJXr5NIsvPNPhEZipPb9jep6EiqqCr11RHCdVFy/Ll88PdVjJmJU0eoB1Q0VOD3+BkUSrAwzxgzINx5wZut6qFf9PeDUloPXVVfwCmCsjWaCkwD/pOKxt2yp4KTfvcP3dz8DOALVT2j5Q5x6rif283X2yTZEfq1OLl8v1HVOSIyBvg6VZ3qTqHsIMdePpUTfjeVaKCB7104mWCoZ56bl9WX8fuPfs/sVbN75HrGmL7HDeat6qG72zvFHU1+4Y72lojIoyJysJsq9WsRmS4iZ4rIX93jR4vIh+LU8v59k3ZERP4qIp+LUyY1YX52ETnUPX+eiDzZmNO9jWN3E5G3xak3/po7GEREznOvv1Ccuughd/tJ7j0sFJF3RCSAE3NOEacW+iltXKetOuqIyM/cNpeIyE+b/MyWilNqdh5wP5DuXuNR91SviNwrTp30WeKUV23rPlvdj5uf/ibge2676SJSLSLXisjHwF5NZz5E5HD3Z7pQRN5wt00XkQ/cEf4HsgWF0JIK6Kr6pKpOUdUL3e+XqeoJyV6ktz2x6lEOfHk/ltcuIzMvjUC6j3AsnPLresXL+LzxDMsYlvJrGWP6rPbqoXfFWJwa41Nwypn+ACc9989pXfjlduAuVd0dWN9k+3HAeGAycB7QImnHpqIlv8Wppb4rMBf4WaIOiYgfuAM40X00+wBwvbv7GVXdXVV3BpYC57jbrwIOc7cfraphd9sTqjpVVZ9o52cwAac62nTgdyLiF5HdgLOAPXAKr5wnIru4x48HHlHVXVT1LKDOvUZjsY8dgDtVdSegHGgvzrW6H1Vd0KLvdTjzwUtUdQ9Vfa/Jz6oQ54PeCW4bJ7m7vgD2V9Vd3LaS/neS1FBVRMYBdwGDVXWSiEzB+cH32Uxx4Ey310ZrOXbssYzIHsGo7FHE4jEWFS/iX0v/xeW7X842obYKBnVddjCbsyadhVe8KbuGMabPS0U9dIBvVXUxgIh8BryhqipOre5RLY7dh83B6R/AH92v9wcec+ukrxWRNxNcZ09gIvC++4ZOAPiwjT6NBybhVOUE8ALr3H2TROQ6IBenaMxr7vb3gYdE5N/AM0ncd1Mvq2oD0CAijXXU9wWeVdUaABF5BtgP5/HDClVtr4jLt25QBviU1j/Hptq6n5ZiwNMJtu8JvNNY371J3fgc4GER2QEn74u/nT40k+yU+704lWci7oUXAacme5HeEI6FWVy8mJ+//XOe/upp9hq6F3lpedRGa/nbgr/x6vJXmbM+9cVyfB6fvaZmzMDWVt3zrtRDh+Y1xONNvo+TeLDWVhaxjrKLCfC6O+KcqqoTVfWcdo79rMmxk1X1UHffQ8DFqjoZuAa3HKmqXoAzA7AdsEDcsqtJSlRHvb1fuDXt7GurvbY8RIL7SaDe/cDUUlt1438PzFbVScBR7bTbSrIBPaSqn7TY1qcrjpQ3lHPOa+fw3pr3uHPhnby9+m0AMv2ZXLnnlfxy91+y19C9KKorori2mEg80ss9Nsb0U6moh76l3mfzIKxpLel3gFNFxOs+6z4wwbkfAfuIyFgA91nxuDau8yVQKCJ7ucf6RWQnd18WsM6dlt/UBxHZXlU/VtWrgGKcwN5RLfT2vAMc6/YzA+exwrttHBtx+9MZCe9nC3wIfEdERkOzuvE5wBr36zO3pMFkA3qxiGyP+2lCnNca1rV/Su+Ka5yG2OYPW43vf4sII7JHcNT2R/HSty9x9LNHc+wLx/LyspepClf1VneNMf2Uu5r9PGAFzu/QFcB5qV7l3sL/AReJyBycgNHoWZwFzotxHqu+3fJEVS3CCSyPiVND/COcZ9etuM+/TwT+KCILgQVsfi5/JfAxTgrxL5qcdrOILBbnlbF3cHKdzAYmtrcori1uae+HcOq6fwzcp6rz2zj8HmBRk0VxW6Kt+0m2n0XATOAZ92fVuFbgJuAGEXkf55FF0pLN5T4G58b3BsqAb4HTVHXFllysszqTy70mUsPrK17njvl3MDZ3LH/Y9w/NaqJ/UfoFJ714UrNzXjruJUZmj+yWPierKlxFVbiKkC9Eblpuj17bGLNF7NmZ6dPaXRQnIv+nqrcDQ1X1YHf6wqOqfX4om+HP4LBRh7HvsH3xeX3kBpsHyyXFrfMHfFP+TY8H9JpIDYc9fRiPH/G4BXRjjDGd1tEq97NwXne4A9i1cdXg1iLdl066L/FrhNMGT0MQ1F2T4BUvE/ITziKlVMgX4j/H/4dMf89mrzPGmK4QkWeB0S02/1JV21rt3dnrnIXzyKCp91X1ou68TjvXvxPnLYGmblfVB3vi+lui3Sl3EXkM2AsopHn9cwFUVaektnuOzpZPbam6tITStasZPGYsUT/M2zCPO+bfgdfj5bLdLmNiwURC/uavizbU1hBpaCAtIxNfINDlPhhjtlo25W76tHZH6Kr6fREZgvN+3dE906XUWff1F7zzr4c59Zo/khHKY79t92OnQTshCHlpeQnPqSot4dFf/ZQf/e1u5qydx4isEexYsGMP99wYY4xpX1KL4npbV0foFQ0VlNSXkO5NJyMeJDs7v+OTXLUVFaz/5iuydxjFrz74NXsO3ZOzJ5+NR5J9QcAY00/YCN30aR1Nuf9bVU92Mw81PbBPT7mX1ZexoGgBOxfuTH5aPq8vf52fvf0zgt4gLx/3MoMzBneqH6V1pXg9XquYZszAZAHd9GkdLYprXIhwZKo70p0qw5Vc8uYlPHv0s+Sn5bO+xkld3BBrIBxvnsNdVamOVBPyhfB62n/lLz89+ZG9McYY05M6eoa+zv27U++bi0gucB9Obl8FzsZJpH8eUOQedoWqdmuJvLxgHrNOmEWG36mResT2RxDwBdgua7tWr6+trFrJ9R9fz0U7X8SUwimWptUYMyCIyLHAV6r6eTe1Nw04XVUv6fDgFBCRo4GJqnqjW/jkJZy885fgpC7/gaqW90bfekpH76FXkTjXbOOUe3YH7d8OvKqqJ7ol8UI4Af02Vb2lMx1ORnYwm+yg0zVVxe/xc/K4kxMG61nLZ/Hh2g/J9mdz/b7XE/QFU9UtY8wAdespR7aqh37ZEy/1ZKa4RI7FCXrdEtBVdS5OJbZe0aL+e8ua5G2lfu1X2l3ZpapZqpqd4E9WR8FcRLJxKvnc77YV7o1PR+tq1nHZ25extmZtwv3H73A8V+55JT/f/ecWzI0x3c4N5q3qobvbO01Efigin7jpUe9287HfJSJz3Xre1zQ59kZxap4vEpFbRGRvnDeXbnbP376NayRVw9zddoCIvOR+nXRNb3Hqtj8vIq+KyJci8rsm+54Tp676ZyIys8n2RHXEzxSntnuimuTL3TKwiMjp7s9hoYj8o/P/BfqepMqndtIYnGn1B0VkZ5xSdI3P5C8WkdNxPs1dpqplLU92/+PNBBgxovNVBqsj1cxZP4fKcCXDGd5qf0F6ASePP7nT7RtjTAfaq4feqVG6iOwInALso6oREfkbToGQ36hqqYh4gTfcUtercQqUTHDLq+aqarmIvAC8pKpPtXOpZ1T1Xvea1+HUML+DzTXM17iPVltqrOkdFZGD3Xttr7b4dJxHs7XAHBF52R3xn+3eT7q7/Wmcgei9bpoDr4wAAB0nSURBVPvfNilqAoCqLhCRq4Bpqnqx2/fGn9tOwG/cn1txy3O3dql898oH7Arc5RZqrwF+hVMAYHtgKk6Bl1sTnayq96jqNFWdVlhY2OlObJu5LbNOmMWIrK6WHjbGmE5JRT30GcBuOEFugfv9GOBkEZkHzAd2wqljXgnUA/eJyPG0rvzWnkki8q77ptNpbpuwuYb5eSQuIJIDPOkWXLmtyXlteV1VS1S1Dqcm+r7u9kvcwiUf4VRh24G264gn4yDgKVUt7sS5fV4qA/pqYLWqfux+/xRO+tgNqhpT1TjOp6zpqbh4ZUMlG2tKqKhVsv35mxbIGfP/7d19lFTVme/x79Nv0DTNawPBt0ETolEnoKkYDVkujVHR5dKY6ET0Ks6Y8Y5JZjlxzb3qmBUdczO5ehN1MsZ3jcr1XceoZEC5SmLiC1IsFERBUIi0oDSCvHRDN9393D/OLi2xq+mqrlNVffr3WatWVe3a5+zdp5t6OPvssx+REosjH7oB92TlHT8QuAf4Z+C4cEvx74Gh7t5J9D37GNF187l5tHM3heUwzzen9+5ztdzMjgG+BRzl7lOI/pMylNx5xPuiP9tWvNgCuru/D6zNunZyHPCGRTl3M04HPpslpQg279xM8+Y2zrh5Ae9uyuc/pCIiRRVHPvRngTPMbDx8nEt7P6KR0C1mNgE4KXw2HBgZ7ib6J6LRUehbzvF8cphnyzen9/FmNiYMrX+baARgJLDZ3dvM7CCiM3PInUe8L54lGsUYW8C2FS/u5c7+EbjPohy6U4muo1xrUe7bJcCxwI/jaDia6d5I49AaqquMna3badu6JY6mRERyCrPZP5MPvT+z3MOtZj8BngnfpfOAdqKz2GXAXURBEaKgPDvU+yOffOc+CPyPMHGtx0lx5JfDPFu+Ob3/DMwiyp/+WLh+PheoCf3+GdGwe295xPfI3ZcBPwf+GLa9rq/bDgSJXvq1q6ubzW27GDWsliXPzOa95W/yrb//AfXD9/SfUhGRz9AiFTEws/PJmsAmhYtzlnvZVVdX0dQY3Yq23yFTGP25vaipqS1zr0RERIov0QE9W9N+f0XTfn9V7m6IiFQcK0HObzM7Ebhmt+LV7n460eQ76adBE9Bz2dC2gc7uTsYPG09N1aA/HCIyCLn7D0vQxtNEqbglJoM6B2jrrlZ+9vLP+MGzP+Cj9kQv8SsiIgmX+FPSrq5OOtraqG/87Eq1DbUN/PTIn9LpnYweMjq//XZ3sbl9M3VVdR+vGy8iIlIuiT5D39m5k60tG3jiVz+n9aPPrC4LwLhh45jYMHGPqVN39/ZHb3PenPP4xSu/YNPORC02JCIiA1BiA/rmnZu5cfGNdFgn4/bbv6hpUbu9m1lvzmLttrXMfmc2O3btKNq+RUTKzcwmhXvM91Tn7Kz3KTP7dfy9k1wSO+Te0dXBvW/cy5/f+zOzzrmXYUUcFq+yKs790rks+mARU8dNpb62vmj7FhEZICYBZxMSzJQ7faokeGGZ1o5WPtz5IVVWxbj6cUVPjapr6CKDTsUsLGNmk4hWUlsAHAa8BZwHHAX8kuhkbSFwkbu3m9kaohXVjg27ONvdV5nZ3WRlXDOz7e4+POx/trsfGl7PAjIJMX7k7i+a2cvAl4DVROvILwb+2d1PCUuq3kWUMKYNuNDdl5jZVURL1B4Qnm9wd53VF0lih9y7vIs7lt7Bo289SkdXR9H3X11VTVN9k4K5iJTLgcBtIRHLVuASovu5vxeSqdQAF2XV3+ruRwA3Ajfk0c4G4Hh3P5woZWsmAF8G/Ckkh7l+t23+FVgc+vYvwL1Znx0EnEiUMObKsE68FEFiA3qVVXH2QWdz8NiDadnRwkc7dVuaiCTKWnfPrNf+f4kSYK1297dC2T3A0Vn1H8h6PiqPdmqB20MK1UeIUrLuyTeIzupx9+eAsWY2Mnz2e3dvDylMNwAT8uiL9CKx19CH1w1n2YfLuOqlq2isbeSxUx9jFKPK3S0RkWLJ93qp9/C6k3BiZ9HM4boetvsx8AEwJdTd2Ye2ero8kWmzPausiwTHoVJL7Bk6wKSRk6iyKvYdsW/et6WJiFS4/cwsc6Y9A/h/wCQz+0IoO5cou1rG97KeXwqv1wBfCa9PIzob391IYL27d4d9Zr5Me0u/+jwh3WrIa77R3bf26aeSgiXyf0abdmyi0zuZNGISz3z3GWqqahhbP7bc3RIRKaY3gZlmdiuwEriYKMXoI2aWmRR3S1b9IWa2gOhEbkYoux14wsxeIcoV3tpDOzcBj5nZmcD8rDpLgM6QhvRuoklxGVcBvw2pT9uAmf37UaUvEjfL/cMdH7J6y2oefuthpjRNYfr+0xXMRaQYKm2W+2x3P7SP9dcQpSjdGGO3pMwSN+S+fdd2aqtrmbt6Lr97+3d0dneWu0siIiKxS9yQe0NtA3NXz2XWSbMYPXQ021f8ha7Gzew1+aByd01EpCjcfQ3Qp7PzUH9SbJ2RipG4M/Sm+ia++8Xv0lTfxEiGs2Zxmk3Na8vdLRERkVgl7gwdoqC+o3MHrR2tHHHmWQzR0qwiIpJwiTtDz/ig9QOOf/R4lm5fTl29ArqIiCRbYgN6fU09h004jAnDtAiRiIgkX2ID+oSGCfzbtH/jpXUv8X7r++XujohIUZnZdDNbYWarzOyycvdHyi+xAR3g5fdf5pqF1/B88/Pl7oqISNGYWTXwG+AkorXVZ5hZX9ZYlwRL5KS4jKP3Ppo7TriDyaMnl7srIiLFdASwyt3fATCzB4mWbn2jrL2SskpsQO/q7mJM/Ri+Vv81ALZ3bGfxhsXs17gfI+pGMLp+dJl7KCKDSSqVqgLGARvS6XR/l+jcG8i+H7cZ+Fo/9ykDXCKH3FduWsl7299jzZY1bGnfQntbKyv/8EdGve/8/u3ZzFkzh407tAKiiJRGCObPEQXe+eF9f/SWzUwGqUQG9I7uDl5c9yI/eeEnbGnfQmdHB6/OeYq/vPAyJ+17Iq+sf4WBsIa9iCTGOGAa0ajotPC+P5qBfbPe7wOs6+c+ZYBL5JD7Xg178cDyB1j24TKqq6ppGDGav7nyF2BGR51zxZFX0FTfVO5uisjgsQF4gSiYvxDe98dCYLKZ7Q+8B5wFnN3PfcoAl7hsaxktbS10dXeBQW1VrTKuiUh/9SvbWpGvoWNmJwM3EOUnv8vdf97ffcrAltiADtFqcVf8+QpSn0vx/b/+PjVViRyQEJHSqJj0qSI9SXSEMzOm7z+dg8cejOnfooiIJFgiJ8VluDtXv3Q1Nyy6gbbOtnJ3R0REJDaJPkNvqG1gznfmMLRmKI11jeXujoiISGxiPUM3s1Fm9qiZLTezN83sKDMbY2bzzGxleI5thRfHmb92Pg+teIgt7VviakZERKTs4h5y/3dgrrsfBEwB3gQuA55198nAs+F9LFp3tfLQioe4f/n97OreFVczIiIiZRfbkLuZjQCOBs4HcPcOoMPMTgOOCdXuAf4AXFrs9re2b+XOpXdy7dHXMnroaEYP0VKvIiKSXHGeoR8AtAC/NbPFZnaHmTUAE9x9PUB4Ht/TxmZ2oZmlzSzd0tKSd+NDqodwzL7H0Ly9mRF1I6iuqu7HjyIiUrhUKmWpVGpKKpU6KTz3+7YbM1tjZkvN7FUzS4eyHi9pWuTXIdXqEjM7PGs/M0P9lWY2M6v8K2H/q8K2Vqo2pDBxBvQa4HDgZnc/DGglj+F1d7/N3VPunho3Lv9VEofUDOHQpkNJTUgxtGZo3tuLiBRDKpU6FniLaIW4B8LzW6G8v45196nungrvc13SPAmYHB4XAjdDFJyBK4kSuxwBXJk1r+nmUDez3fQStiEFiDOgNwPN7r4gvH+UKMB/YGYTAcJzf5dAzOmeZfdw7pxz2bRzU1xNiIjkFIL2bOALQAMwMjx/AZhdpKCe7TSiS5mE529nld/rkZeBUeH790RgnrtvcvfNwDxgevhshLu/5NHqY/futq+425ACxBbQ3f19YK2ZHRiKjiPK1fskkBlymQk8EVcfZhw0gxu/eSONtdEta13dXSzduJQbF9+oIC8isQrD6rcBw3JUGQbc1o/hdweeMbNFZnZhKMt1SbOndKt776G8uYfyUrUhBYj7PvR/BO4zszrgHeBvif4T8bCZXQC8C5wZV+Pjho1jXFZSo51dO7l9ye3MXzuf70z+TlzNiogAfBmYuIc6E0O91wrY/zR3X2dm44F5Zra8l7q50q3mW96bUrQhvYg1oLv7q0Cqh4+Oi7PdXBpqG/jpkT/l4sMv1kIzIhK3vYDOPdTpDPXyDujuvi48bzCzx4muT39gZhPdff1ulzRzpVtt5pO7jjLlfwjl+/RQnxK1IQVI9NKvPWka1sTnR31eAV1E4raOPZ801VBAEDOzBjNrzLwGTgBeJ/clzSeB88JM9COBLWG4/GngBDMbHSaqnQA8HT7bZmZHhpnn5+22r7jbkAIkeulXEZEyWgKsJ5oAl8u6UC9fE4DHw11eNcD97j7XzBbS8yXN/wJOBlYBbUSXP3H3TWb2M6L86gBXu3tmgtFFwN1APTAnPAD+dwnakAIkOn2qiEgR5T15LWuWe08T49qAU9Lp9Pz+dkwEkj7k3rYJ3ngS1r8Gu3aUuzciMsiEYH0K0VlrK7AlPK9EwVyKLNkB/aN34eFz4Y7jYGffkrO0tLVw7cJr+XDHhzF3TkQGgxC0vwhMA2aE5wMVzKXYkn0NvfFz8Lkvw/gvQXVtnzZp72pnwfoFnH/I+fH2TUQGjXQ67UQz2Qu5PU2kT5J/Db21BapqoX5Un6rv6trF1o6tjBk6Bi0rLCJZ9IUgFS3ZZ+gADfmtA19bXcvY+rExdUZERCQeiQzonV2ddNHFkOoh5e6KiAxyqVRqKnAJcCrRbPc2onu2r0un06+Ws2+SLImbFNfe2c68d+fxq4W/0nrtIlI2qVSqJpVK3UmUXe1sosQsteH5bOCFVCp1ZyqVKujEyszuMrMNZvZ6Vlki0qfmakN6l7iA3tHdwVNvP8UTbz9BV3dXubsjIoPXrcBZRGfl1bt9Vh3KzwJuKXD/d/PZdKNJSZ+aqw3pReICemNdI1dPu5qnTn+K0UP0nzoRKb0wzJ4J5r0ZBsxIpVJT8m3D3Z8Hdh+GTEr61FxtSC8SF9ABmuqbGD9sPDXViZwiICKV7xKgr5N46kL9YkhK+tRcbUgvEhnQRUTK7FQ+O8yeSw3RGWmclD51EFBAFxEpvj0Ntfe3fi4fhKFs8khtmqu81/SpZWpDeqGALiJSfG0x188lKelTc7UhvdBFZhGR4nuS6Na0vgy7d1JAwDKzB4BjgCYzayaaSV6K1KblbEN6kfylX0VEiqPPS7+GWe4v0Leh9Dbg6+l0Wuu8S79oyF1EpMjCCnAPsueh9DbgAQVzKQYNuYuIxOO/E83ankF0a1r2920n0AE8APxD6bsmSaQhdxGRviko21oYfv8x0a1pmbXcnwCu11ruUkw6QxcRiVEI2jPDmu0NwPZ0Oq11qaXoFNBFRGKSSqWGEM3QvhQ4BNgF1KZSqWXANcAj6XS6vYxdlATRpDgRkRikUqkjiBZKuQk4lGjIvi48HxrK16VSqa+WrZOSKAroIiJFFoL0c8AYoDFHtcbw+fxCgnqO9KlXmdl7ZvZqeJyc9dnlIU3pCjM7Mat8eihbZWaXZZXvb2YLQgrTh8ysLpQPCe9Xhc8nlbINyU0BXUSkiMIw+1yi6+V90QDMDdvl424+mz4V4Hp3nxoe/wVgZgcTZX87JGxzk5lVm1k18Bui1KcHAzNCXYguCVwfUphuBi4I5RcAm939C8D1oV5J2pDeKaCLiBTXmUBtntvUAWfks0GO9Km5nAY86O7t7r6aaDW3I8Jjlbu/4+4dRPfOnxaWYv0m8GjYfvc0qZnUpo8Cx4X6pWhDeqGALiJSXJeSe5g9l+HAZXus1Tc/MrMlYUh+dCjLN7XpWOAjd+/crfxT+wqfbwn1S9GG9EIBXUSkSFKpVDXRkHMhDgnb98fNwOeBqcB64FehvJipTYu1r0LakF4ooIuIFM9wolvTCtEZti+Yu3/g7l3u3g3cTjTcDfmnNt0IjDKzmt3KP7Wv8PlIoqH/UrQhvVBAFxEpnu3kf/08oyZsX7BMDvHgdCAzA/5J4Kwwe3x/YDLwClEGtMlhtnkd0aS2Jz1aQnQ+n1zX3z1Naia16RnAc6F+KdqQXmhhGRGRIkmn011h0ZhDC9h8WT4ryOVIn3qMmU0lGp5eQ7SePO6+zMweBt4gGgn4obt3hf38iChneTVwl7svC01cCjxoZv8LWAzcGcrvBGaZ2Sqis+azStWG9C7WtdzNbA2wDegCOt09ZWZXAX8PtIRq/5K5tSIXreUuIhWgT7OsU6nUfyNaNCafiXHbgIvS6fR9hXRMBEpzhn6su2/crex6d/9lCdoWESm1R4B/z3ObXXxy+5ZIQXQNXUSkiMLa7NOB1j5u0gpM15ru0l9xB3QHnjGzRWZ2YVZ5T/dJiogkQjqdXggcS3T9d1uOatvC58eG+iL9EndAn+buhxMt+fdDMzua3PdJfoqZXWhmaTNLt7S09FRFRKRihSC9F3AR0WxzJxpad2BpKN9LwVyKJdZJcZ9qKJoMtz372nlYcH+2u/c6I1ST4kSkAvRr6dGwaMxwlA9dYhLbpDgzawCq3H1beH0CcLWZTXT39aFa9n2SIiKJFYL4lnL3Q5IrzlnuE4DHw3r6NcD97j7XzGb1dJ+kiIiIFC62gO7u7wBTeig/N642RUREBivdtiYiIpIACugiIiIJoIAuIiKSAAroIiIiCaCALiIikgAK6CIiIgmggC4iIpIACugiIiIJoIAuIiKSAAroIiIiCaCALiIikgAK6CIiIgmggC4iIpIACugiIiIJoIAuIiKSAAroIiIiCaCALiIikgAK6CIiIgmggC4iIpIACugiIiIJoIAuIiKSAIkN6F3dXeXugoiISMkkMqC//dHbXLfoOjbt3FTuroiIiJREIgN687Zm/tT8J52li4jIoGHuXu4+7FEqlfJ0Ot3n+ts7ttPe1c7Y+rEx9kpEBhkrdwdEelNT7g7EYXjdcIYz/FNlu7p20d7VzvC64Tm2EhERGbgSOeTekzc3vcmVL17Jph26ri4iIskzaAJ6tVVTX1OPmUbNREQkeRJ5Db0nnd2ddHR1MKx2WJF6JSKDjM4GpKIl8hp6T2qqaqipGjQ/roiIDDKDZshdREQkyRTQRUREEkABXUREJAFivahsZmuAbUAX0OnuKTMbAzwETALWAH/j7pvj7IeIiEjSleIM/Vh3n+ruqfD+MuBZd58MPBvei4iISD+UY8j9NOCe8Poe4Ntl6IOIiEiixB3QHXjGzBaZ2YWhbIK7rwcIz+N72tDMLjSztJmlW1paYu6miIjIwBb3jdnT3H2dmY0H5pnZ8r5u6O63AbdBtLBMXB0UERFJgljP0N19XXjeADwOHAF8YGYTAcLzhjj7ICIiMhjEFtDNrMHMGjOvgROA14EngZmh2kzgibj6ICIiMljEOeQ+AXg8JEOpAe5397lmthB42MwuAN4FzoyxDyIiIoPCgEjOYmYtwF/y2KQJ2BhTd+IwkPo7kPoK6m/cBlN/N7r79GJ2RqSYBkRAz5eZpbPue694A6m/A6mvoP7GTf0VqRxa+lVERCQBFNBFREQSIKkB/bZydyBPA6m/A6mvoP7GTf0VqRCJvIYuIiIy2CT1DF1ERGRQUUAXERFJgEQFdDObbmYrzGyVmZU0LauZ7Wtm883sTTNbZmYXh/IxZjbPzFaG59Gh3Mzs16GvS8zs8Kx9zQz1V5rZzKzyr5jZ0rDNry2s2tOPPleb2WIzmx3e729mC0K7D5lZXSgfEt6vCp9PytrH5aF8hZmdmFVe1N+FmY0ys0fNbHk4xkdV+LH9cfg7eN3MHjCzoZV0fM3sLjPbYGavZ5XFfjx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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "metadata": { + "id": "y4UMyPIK4E2C", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Analyze outliers" + ] + }, + { + "metadata": { + "id": "x-glf9Si4E2H", + "colab_type": "code", + "colab": {}, + "outputId": "4f18e147-7b5a-43c9-a821-9887fa995119" + }, + "cell_type": "code", + "source": [ + "# Checking income greater than $80,000\n", + "# Outlier countries/regions\n", + "now[now.income > 80000]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
yearincomelifespanpopulationcountryregion
2291020189903482.39590321Luxembourgeurope_central_asia
2334820189705783.24632418Macao, Chinaeast_asia_pacific
31498201812103380.712694849Qatarmiddle_east_north_africa
3303120188388884.035791901Singaporeeast_asia_pacific
\n", + "
" + ], + "text/plain": [ + " year income lifespan population country \\\n", + "22910 2018 99034 82.39 590321 Luxembourg \n", + "23348 2018 97057 83.24 632418 Macao, China \n", + "31498 2018 121033 80.71 2694849 Qatar \n", + "33031 2018 83888 84.03 5791901 Singapore \n", + "\n", + " region \n", + "22910 europe_central_asia \n", + "23348 east_asia_pacific \n", + "31498 middle_east_north_africa \n", + "33031 east_asia_pacific " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 186 + } + ] + }, + { + "metadata": { + "id": "2vWAMeSS4E2O", + "colab_type": "code", + "colab": {}, + "outputId": "31dfa593-3227-4f7b-872e-3878218f3adb" + }, + "cell_type": "code", + "source": [ + "# Macao - according to Wikipedia considered an independent region\n", + "entities[entities.name == 'Macao, China'].T" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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145
countrymac
alt_5MACAU SPECIAL ADMINISTRATIVE REGION OF CHINA
alternative_1Macau
alternative_2Macao
alternative_3China, Macao SAR
alternative_4_cdiacMacau
arb1Macao SAR, China
arb2NaN
arb3NaN
arb4NaN
arb5NaN
arb6NaN
g77_and_oecd_countriesothers
gapminder_listMacao, China
god_idMO
gwidi130
income_groupshigh_income
is--countryTrue
iso3166_1_alpha2MO
iso3166_1_alpha3MAC
iso3166_1_numeric446
iso3166_2NaN
landlockedcoastline
latitude22.2006
longitude113.546
main_religion_2008eastern_religions
nameMacao, China
pandgNaN
un_stateFalse
unicode_region_subtagMO
upper_case_nameMACAU
world_4regionasia
world_6regioneast_asia_pacific
\n", + "
" + ], + "text/plain": [ + " 145\n", + "country mac\n", + "alt_5 MACAU SPECIAL ADMINISTRATIVE REGION OF CHINA\n", + "alternative_1 Macau\n", + "alternative_2 Macao\n", + "alternative_3 China, Macao SAR\n", + "alternative_4_cdiac Macau\n", + "arb1 Macao SAR, China\n", + "arb2 NaN\n", + "arb3 NaN\n", + "arb4 NaN\n", + "arb5 NaN\n", + "arb6 NaN\n", + "g77_and_oecd_countries others\n", + "gapminder_list Macao, China\n", + "god_id MO\n", + "gwid i130\n", + "income_groups high_income\n", + "is--country True\n", + "iso3166_1_alpha2 MO\n", + "iso3166_1_alpha3 MAC\n", + "iso3166_1_numeric 446\n", + "iso3166_2 NaN\n", + "landlocked coastline\n", + "latitude 22.2006\n", + "longitude 113.546\n", + "main_religion_2008 eastern_religions\n", + "name Macao, China\n", + "pandg NaN\n", + "un_state False\n", + "unicode_region_subtag MO\n", + "upper_case_name MACAU\n", + "world_4region asia\n", + "world_6region east_asia_pacific" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 187 + } + ] + }, + { + "metadata": { + "id": "2FW4CHUI4E2V", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Most extreme outlier - Qatar - Adding a label\n", + "qatar = now[now.country=='Qatar']\n", + "qatar_income = qatar.income.values[0]\n", + "qatar_lifespan = qatar.lifespan.values[0]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "YyyXw5tr4E2b", + "colab_type": "code", + "colab": {}, + "outputId": "e9effd60-056e-4938-b410-822f27c6ff1d" + }, + "cell_type": "code", + "source": [ + "sns.relplot(x='income', y='lifespan', hue='region',\n", + " size='population', data=now)\n", + "plt.text(x=qatar_income-5000, y=qatar_lifespan+1, s='Qatar')\n", + "plt.title('Qatar has the highest income in 2018');" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "metadata": { + "id": "QngQT-IX4E2f", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Plot multiple years" + ] + }, + { + "metadata": { + "id": "0wwVdoWo4E2h", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# now =df[df.year==2018]\n", + "\n", + "years = [1818, 1918, 2018]\n", + "centuries = df[df.year.isin(years)]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "Ixah90Bf4E2k", + "colab_type": "code", + "colab": {}, + "outputId": "9172556a-182a-4d27-8679-634e3ce5306d" + }, + "cell_type": "code", + "source": [ + "centuries.sample(5)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
yearincomelifespanpopulationcountryregion
12423181878726.10134422Fijieast_asia_pacific
376491818123332.9061014Trinidad and Tobagoamerica
339261818136135.502180375Serbiaeurope_central_asia
9310181885638.50184748Cypruseurope_central_asia
5906191876521.29149983Bhutansouth_asia
\n", + "
" + ], + "text/plain": [ + " year income lifespan population country \\\n", + "12423 1818 787 26.10 134422 Fiji \n", + "37649 1818 1233 32.90 61014 Trinidad and Tobago \n", + "33926 1818 1361 35.50 2180375 Serbia \n", + "9310 1818 856 38.50 184748 Cyprus \n", + "5906 1918 765 21.29 149983 Bhutan \n", + "\n", + " region \n", + "12423 east_asia_pacific \n", + "37649 america \n", + "33926 europe_central_asia \n", + "9310 europe_central_asia \n", + "5906 south_asia " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 191 + } + ] + }, + { + "metadata": { + "id": "3n9K0dSB4E2r", + "colab_type": "code", + "colab": {}, + "outputId": "2b6f7859-c055-421e-c029-adb3591e17f3" + }, + "cell_type": "code", + "source": [ + "# plots showing sequence throughout the years\n", + "sns.relplot(x='income', y='lifespan', hue='region', size='population',\n", + " col='year', data=centuries)\n", + "# scaling graph - quick approach\n", + "# in 1918 you see the impact of war and desease by the fall lifespan\n", + "plt.xscale('log');" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "metadata": { + "id": "dZy0tEc64E2u", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Consitent number of countries per year?" + ] + }, + { + "metadata": { + "id": "AoCq9Pf-4E2u", + "colab_type": "code", + "colab": {}, + "outputId": "6eb29780-9806-4d6a-fd77-f1ce97635537" + }, + "cell_type": "code", + "source": [ + "# There ARE the same number of countries in each graph -- year section\n", + "centuries.groupby('year').country.count()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "year\n", + "1818 190\n", + "1918 190\n", + "2018 188\n", + "Name: country, dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 193 + } + ] + }, + { + "metadata": { + "id": "YdAqNofb4E2x", + "colab_type": "code", + "colab": {}, + "outputId": "5ea7ea4f-becf-4796-d159-cb0dc875e794" + }, + "cell_type": "code", + "source": [ + "# countries shown less than 3 times\n", + "years_per_country = centuries.groupby('country').year.count()\n", + "years_per_country[years_per_country < 3]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "country\n", + "Greenland 2\n", + "Taiwan 2\n", + "Name: year, dtype: int64" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 194 + } + ] + }, + { + "metadata": { + "id": "L2HNevKg4E23", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Point out a story" + ] + }, + { + "metadata": { + "id": "yWKUiNc-4E24", + "colab_type": "code", + "colab": {}, + "outputId": "f374e7b8-9ae0-4318-98dc-44b38f0a14de" + }, + "cell_type": "code", + "source": [ + "# going by increase of 20 years\n", + "years = [1918, 1938, 1958, 1978, 1998, 2018]\n", + "subset = df[df.year.isin(years)]\n", + "sns.relplot(x='income', y='lifespan', hue='region', size='population',\n", + " row='year', data=subset)\n", + "plt.xscale('log')\n", + "plt.xlim((150, 150000));" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "metadata": { + "id": "QWrOcizV4E27", + "colab_type": "code", + "colab": {}, + "outputId": "b038aa42-65b8-4a41-e4b5-11ada014e2a2" + }, + "cell_type": "code", + "source": [ + "# years = [1918, 1938, 1958, 1978, 1998, 2018]\n", + "for year in years:\n", + " \n", + " sns.relplot(x='income', y='lifespan', hue='region', size='population',\n", + " data=df[df.year==year])\n", + " plt.xscale('log')\n", + " plt.xlim((150, 150000))\n", + " plt.ylim((20, 90))\n", + " plt.title(year)\n", + " plt.axhline(y=50, color='grey');" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "metadata": { + "id": "v08uKAMU4E2-", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### 100 years ago, few contries had lifespans above 50 years" + ] + }, + { + "metadata": { + "id": "Y3v9RXdP4E2-", + "colab_type": "code", + "colab": {}, + "outputId": "0c51db98-3f80-46b6-f64f-66874723ae5f" + }, + "cell_type": "code", + "source": [ + "df[(df.year==1918) & (df.lifespan >= 50)]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
19171918761054.955066003Australiaeast_asia_pacific
103331918639356.243165276Denmarkeurope_central_asia
182111918257651.11115504Icelandeurope_central_asia
281131918447950.282576646Norwayeurope_central_asia
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" + ], + "text/plain": [ + " year income lifespan population country region\n", + "1917 1918 7610 54.95 5066003 Australia east_asia_pacific\n", + "10333 1918 6393 56.24 3165276 Denmark europe_central_asia\n", + "18211 1918 2576 51.11 115504 Iceland europe_central_asia\n", + "28113 1918 4479 50.28 2576646 Norway europe_central_asia" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 197 + } + ] + }, + { + "metadata": { + "id": "dG9uOIYc4E3B", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "### Today, no countries have lifespans below 50 years" + ] + }, + { + "metadata": { + "id": "7fZv0mdO4E3C", + "colab_type": "code", + "colab": {}, + "outputId": "6cf7274e-84fb-476f-c95b-23ed78fa532b" + }, + "cell_type": "code", + "source": [ + "df[(df.year==2018) & (df.lifespan < 5)]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [year, income, lifespan, population, country, region]\n", + "Index: []" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 198 + } + ] + }, + { + "metadata": { + "id": "LTqoAUyC4E3G", + "colab_type": "code", + "colab": {}, + "outputId": "d868a2fa-3972-4712-a75f-65b16dc107f8" + }, + "cell_type": "code", + "source": [ + "# These though are close to the 50 yr lifespan line\n", + "df[(df.year==2018) & (df.lifespan < 55)]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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yearincomelifespanpopulationcountryregion
6444201868951.584737423Central African Republicsub_saharan_africa
224722018296051.122263010Lesothosub_saharan_africa
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" + ], + "text/plain": [ + " year income lifespan population country \\\n", + "6444 2018 689 51.58 4737423 Central African Republic \n", + "22472 2018 2960 51.12 2263010 Lesotho \n", + "\n", + " region \n", + "6444 sub_saharan_africa \n", + "22472 sub_saharan_africa " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 199 + } + ] + }, + { + "metadata": { + "id": "bh6QV9Yl4E3J", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Get interactive with Google Colab" + ] + }, + { + "metadata": { + "id": "p88pXVe24E3K", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "year = 1886 #@param {type:\"slider\", min:1800, max:2018, step:1}\n", + "\n", + "sns.relplot(x='income', y='lifespan', hue='region', size='population', \n", + " data=df[df.year==year])\n", + "\n", + "plt.xscale('log')\n", + "plt.xlim((150, 150000))\n", + "plt.ylim((20, 90))\n", + "plt.title(year);" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "omJEn9Es4E3L", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Based on the example at: \n", + "# https://colab.research.google.com/notebooks/widgets.ipynb#scrollTo=BZa2t-U5gIAB\n", + "\n", + "from google.colab import widgets\n", + "tb = widgets.TabBar([str(year) for year in years])\n", + "for tab, year in zip(tb, years):\n", + " sns.relplot(x='income', y='lifespan', hue='region', size='population', \n", + " data=df[df.year==year])\n", + "\n", + " plt.xscale('log')\n", + " plt.xlim((150, 150000))\n", + " plt.ylim((20, 90));" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "7nQrGNMM4E3P", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Stretch goals" + ] + }, + { + "metadata": { + "id": "3iuCG-6U4E3Q", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "## Additional tweaks to plot" + ] + }, + { + "metadata": { + "id": "JREeYpb44E3U", + "colab_type": "code", + "colab": {}, + "outputId": "a1adc0ef-f67a-4fca-dd7e-209f547f1ea8" + }, + "cell_type": "code", + "source": [ + "plt.style.use('fivethirtyeight')\n", + "sns.relplot(x='income', y='lifespan', hue='region',\n", + " size='population', sizes = (60, 600),\n", + " palette='colorblind', alpha=.75, data=now)\n", + "plt.xscale('log')\n", + "plt.ylim((40, 90))\n", + "plt.xlim(300, 200000)\n", + "plt.title(' In Many Ways the World IS a Better Place\\n');" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "nCjzQn1-4E3Y", + "colab_type": "code", + "colab": {}, + "outputId": "e88dad76-a377-48b1-d67b-734b7a294e62" + }, + "cell_type": "code", + "source": [ + "df.region.unique()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array(['america', 'south_asia', 'sub_saharan_africa',\n", + " 'europe_central_asia', 'middle_east_north_africa',\n", + " 'east_asia_pacific'], dtype=object)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 246 + } + ] + }, + { + "metadata": { + "id": "N48loFtp4E3b", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "asia_reg = ['south_asia', 'east_asia_pacific']\n", + "africas_reg=['sub_saharan_africa', 'middle_east_north_africa']\n", + "\n", + "africas_df = df[df.region.isin(africas_reg)]\n", + "asias_df = df[df.region.isin(asia_reg)]\n", + "americas_df = df[df.region == 'america']\n", + "europe_df = df[df.region =='europe_central_asia']" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "hwa9fOlX4E3f", + "colab_type": "code", + "colab": {}, + "outputId": "c8bdddde-ef90-412f-ff3d-d90242707b3d" + }, + "cell_type": "code", + "source": [ + "regions = [americas_df, africas_df, europe_df, asias_df]\n", + "reg_name = ['Americas', 'Africa', 'Europe', 'Asia']\n", + "count = 0\n", + "for region in regions:\n", + " sns.relplot(x='income', y='lifespan', hue='country', size='population',\n", + " sizes = (60, 600), palette='colorblind', legend=False,\n", + " alpha=.75, data=region[region.year==2018])\n", + " plt.xscale('log')\n", + " plt.xlim((150, 150000))\n", + " plt.ylim((55, 90))\n", + " plt.title(reg_name[count])\n", + " count+=1" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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\n", 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\n", 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lZWWvvIcEoRCiUyppOJ6s77Te7ogncfRVhOjdx+Bs28a27V6bIVu6xkKITgVVAgkTf4rLt5bG4newQw24MscRf/xFhDy57U1IM2BIEAohWlBKtdnyChrJGDnnk5T1XcBCO5II2mrAhyBIEAohaA4/038I69BerMOVODOHopKyCDniW+xn2zb2keeKO59zdcCQIBQiximlMGv2UP7avYSqS8Pb40ecQur0Gwi6eu9GSH8hN0uEiHFGsJ6qdxaFQ1AphVKKhp1rafjinU7mEowO0f8JhRAdUvUVBEq3o1AoC+zGELbfQtmK+i/ew2js+cHS/Y10jYWIcdoKobQiWOPHbvrG4GilUM461FEswDTQSYtQiBhnxKVi68SWIQigNY7MMdhWQq/NDN1fSBAKEeO0kUHqqdeCYbbYbiamkTj536j8VyWGju4glK6xEDEuVBekoWEUWVf+nvpNbxKqLcOdPQ5P/llUbjXRdiMENb388EhESRAKEeMMl0n9/kYayuKIz7oaZ45NoF5Rvb4eCOFOjwNDERUjp9shQShEjFPxJq5UD03Vfur31bUqTxmdiXYSVQOov02uEQoR42yHZtCpuRgus1VZQk4yniGJrZbwjDbSIhQixmmtUakmObPyqdtVTWNJHYbDILkgA2emB8uM7hAECUIhBM1haHkgYWwaiaPTUQosbCwd/SEIEoRCiG8Id4Gj975ImyJ2jdCyLBYuXMiECRPw+XxMmDCBhQsXEgp9PSW41pr77ruPgoICsrKyuPDCC9m6dWukqizEMTFNC7erCpe5BbfjS9zOw1E/UHmgiFiLcNGiRTz99NM88cQTjBkzhs2bN7NgwQJcLhe/+MUvAHj00Ud5/PHHefzxx8nPz+eBBx7gkksuYcOGDSQlJUWq6kJ0mcMRhNBqGmreApr/s1dGCnEp19AUyuu1mZfF0YlYi3D9+vXMnDmT888/n7y8PC644ALOP/98Pv74Y6C5NfjEE09w8803c9FFFzFmzBieeOIJ6urqePnllyNVbSG6xaSEQN0yjoQggLZraKx5FpejNnIVE0AEg/Dkk09m1apV7NixA4Bt27axcuVKzj33XAB2795NWVkZZ599dvg1cXFxTJs2jXXr1kWkzkJ0h2maBAOr2yzTdg3oij6ukfi2iHWNb775Zurq6pg6dSqmaRIKhbj11luZP38+AGVlZQB4vd4Wr/N6vZSWlrY6nhD9l25+TK3d0qY+rItoS8SCcOnSpbz00ks8/fTTFBQUsGnTJm6//XaGDh3K1VdfHd7v2xeTtdadXmAuLCzslTpHAzk3ve/b59jlcpEzeAwNjRtb76yc0JhAUbH8uxytY/kO5+fnt7k9YkF41113ccMNN3DppZcCMHbsWPbu3csjjzzC1Vdfjc/nA+DgwYPk5OSEX1dRUdGqlfht7X3YWFdYWCjnppe1d47dLi8m47GadrbY7kmag21kk58vD3kdjd76Dkfs7Dc0NGCa35r2xzTD45jy8vLw+XysWLEiXO73+1m7di1Tp07t07oKcawCTfG4E3+AJ/kHON3jcMZNJT7tZ2jzZCxLQjDSItYinDlzJosWLSIvL4+CggI+//xzHn/8ca644gqguUu8YMECfv/735Ofn8+IESN46KGHSEhIYO7cuZGqthDdFmiKR6mJGJ4Tmn8OWp28QvSViAXhAw88wG9/+1tuueUWKioq8Pl8zJs3LzyGEOCmm26isbGRn//851RXVzNlyhSWLl0qYwjFgKW1xrIkAPsbVV1dLSM5Y4RcI+x9co57V9RdIxRCiP5CglAIEfMkCIUQMU+CUAgR82Q+QiH6GcMwOBTQ1ASa7y6nuk1S3Srqp8uPJAlCIfqRgK34aO9hnv94H6W1fgByUjz8+4m5fCc7EZeSMOwN0jUWop9QhsEHxbX8/oMvOXA4EH6mfl+Nn9+9X8jqPbUYhvzK9gY5q0L0AdMwcePEjRPT+PrRUqUUJjZG02Eqaut4bvVWgvXVhOqrsfx1YDWhtIUCntu4l0q/DPvtDdI1FqIXKaXwaBeU+tGVzdNtudJdkOUhSCPB6gNU7txIfeU+qkbMoqKyjbkJlcJ0xVFpJ1HZGCTNJb+2PU3OqBC9yKOd6K2Hwf/1Y3W61A+VfnSOn30fvdq8USms9hp7WmMFGrACDTQ11GImJWAZ7t6vfAyRrrEQvcQwDKgKtghBAKwggYOlUBnEk9o83Rxak+60cTtaL7J+RLzLQUKwmtJ1r2GGGnqx5rFHglCIXmJqAw4FW260gwRqy9G2BYeCxKUMDhfFH9rB9NHZ7R7v/LFDiK/cTqC2gpL1yzAtf29Vvc8YhoEjWI+jqRYjggv6SddYiF6iFbT47dY2TXWH0EcWTTcNtP31Yk6Bsp1clp9D0BrC+1tLsL5a2c5hGJw3JpvZuRp/YREATYcrObTjI9JGn441QNszjuBhAjtXU/fZ2+hQgLjjTiJh0iysBF+fr+onQShEL7G0hcvnRlc33ySxAvXYoW+sT+J1Uvfl7q9/1hqr8AP+PXsMl4wey66vXndcqouE6p00FbZc07tmz2aShhRgpAwecMuBmpaf2g//TP3m98LbglX7aNi5lkGX/Y5gXEaf1keCUIheorXGSlAYmW50eQMhf124zPQl0hgqI9R4+NsvIrh/M679mxnjjgfAKmlod3mnyu1r8X1nNhbtX1vsj1RdGfWb32+1PVRdin/XepzjLuzTJ2kGZptaiAEioIPYeW7UqDjMwQk4hiRjjkujPr6Msu3/7PC1R+4Ud6SxqgQdqOtwn/5GKUWwaj/QdivWv2tjpwu09TRpEQrRy0JYVBV/QMhfD4C/5CB2MNBjx/dXleLOTh0w3WOtNWZCWrvljrQhfVibZtIiFKK3hfz4q8toqNhLQ8XeHg1BgIbKvRh93II6VkZKNs6M3FbblekiYez0Pl/OQIJQiN5mWwS/fS2wBwUbatF2sPMd+xHLk0rm7Dtx54wNb3OkZOG96FfYKTkdvLJ3SNdYiL7Qm91W20ZpDQOoUai1xkoeQvrsX0NDJdoKoeJTsePSIzLdmAShEL1NgTIdzYOoe+PwDicYZnv3HvotrTUhRxwkf6MFGKE5F6VrLERvM124Etu/OXCsPCk+MKRNcywkCIXobaYLT+rgzvfrprjMHFkr+RhJEArRyyzLIjlnVK8c23C4cCW1/RSGUgqHbsAZ2IuzYSfO4EFMNcD6z31E2tNC9AEjLgV3ipdATXmPHjc5pwBcCWC3DDilFA7/bmr/9TjBQ9ubtzniiD/uAjzHzSGoEnq0HgOdtAiF6AO24WTQuDOhB8f7mS4PqcdNxrJbt/IcwQoOrbknHIIAOtRI/Y5XCOz6G6b85rcgp0OIPqC1xkzykjZ8Uo8dc9CEs7Fdia22K6UIVW7C9le2+br6ojcxmtqYCTuGdatrXFhYyP/93/9RXFzMoUOHWj3ao5Ri2bJlPVJBIaKFpRWpI75DU3019WW7julYmaNOxp0xNDxV1zcZhkGgcnO7r9XBegjVgSPzmOoQTbochK+88go//vGPMU2T/Px8UlNTW+0zUJ55FKKvhZSTQROnU7VtDTV72g+r9ijDJHP0d0nIGdPuPIRaa4z4QR0dBGSq/xa6HIT/9V//xZgxY3jllVfwer29UScholpIuUgbfTqJg0dQ9vny1lNxtcOTMohBE89BxWe02RI8wrZt3INPoW7bS6BbD6tx+yajXdIa/KYuB+H+/ftZuHChhKCIOkqpPuvNWBg40oeSc+q/ETxcQXXRv/DXVrSadssZl4QnPZvU4ZMw41OwDRf2UdTRdg8mZfKN1PzrD/CN55AdSTkkjfshTTh7/DMNZF0OwpEjR1JZ2fZF2K4YP348e/fubbX9vPPOY8mSJdx3333cf//9LcoGDRrEjh07jvm9hThCKYUZqMauOYBVV4kZl4yRmo0Vl9HroWjbNpgezLRcvFOGQCiAtprQXw2OVg4nynCC04Nlayw46meWLUzMQd8l46x8mg5+jO0/hCtjLEbKCIJmau8++zwAdTkI77rrLm644QYuvfRSRowY0e03XrFiRYvR8AcOHODMM8/k4osvDm/Lz8/njTfeCP9smgNrFl7RvymlUGVbqPjHowSr9oW3m4kZpJ/9Y4y8k7BV578iSikMS0FIk5mS0eWWpdYaCwWmp/nPke1H/tLG8JijYWFiubIxh+ZgArbWzV1qCcFWuhyEb7/9Nl6vl2nTpnH66aeTk5PTKqCUUjz00EMdHiczs+U1ir/85S8kJSW1CEKHw4HP5+tqFYU4Kmb1bg4svQvd1Nhiu1VXSfnr9+Obey8qe1KHoWZoA6uiicpPD9BUG8By2qSclIRjkBtbRWYCgW+LxGwuA02Xg/CZZ54J//3991uvOQBHF4TfpLXmL3/5C5dffjnx8fHh7cXFxYwePRqn08mJJ57IXXfdxbBhw7paZSFaMdEc/vi1ViEYpi2qVy0m/ZJ8Qo74NndRSmEdDFDyflG4+dZwqIHS94vIOiMPZ268hNAAoaqrqyPeTl6+fDlz5szhww8/ZMKECQC8++671NXVkZ+fT0VFBQ8++CCFhYV89NFHpKend3i8wsLCvqi2GMCGJDs49P9uwWqs6XA/37z/YU87N3W9KZnUfVRBY3nrNUNcKR7Sz8jmQPXBnqiu6CH5+fltbu8Xzxo/99xzTJ48ORyCAOeee26LfU488UQmTZrECy+8wA033NDh8dr7sLGusLBQzs1XHI3lNDhNNHEd7pcQ5yE/q/WU8gBmQNHQWE583NctxobGhuafmyA1KZUkb0qP1jvW9dZ3OOKP2JWXl/PWW28xb968DvdLTEykoKCAoqKiPqqZiGrORFzeYR3uYiakN09o0O4OCke8q+2iOEc/+O0SR6tb/1QrVqxgzpw5HHfccWRkZJCent7qz9F6/vnncbvdzJkzp8P9/H4/hYWFcvNE9AjLGU/ySZd1uE/SCbOwE9ofeKxdkDau7Sc4Ukd70Z4BNHd+jOtyEL799tvMnTuXkpISLrnkEmzbZu7cuVx66aV4PB7GjRvHL37xi6M6ltaaxYsXM2fOHJKSklqU3XHHHaxatYri4mI2btzIvHnzaGho4Pvf/35XqyxEK1prHEPGtxuG8SNPJX7c+R3e7LBtG09eIhknZmN6mq8ymW4H6ZOySByZJjdKBpAuXyP8/e9/z/jx43nvvfeoqanhmWee4aqrruKMM86guLiY6dOnc/zxxx/VsVauXElRURF/+tOfWpWVlJQwf/58KisryczM5MQTT+Tdd99l6NChXa2yEG0KmXHEf+cK4vNPpe6zNwke2o8jIY3ESbMwMoYTdLae2eXbLMMmviCFhGEp6JBNXUMdiYNSCPXS+iSid3Q5CDdv3swdd9yBw+EIjx88MjB62LBhXHvttTzyyCNcdlnH3Q6A008/nerq6jbLvjlMR4jeYpluyBhB4jk3gxUA04WloSttOdu2wQW4YP/+UvIzOw9Q0b90uWvsdruJi2u+05aQkIBSivLyr2fdHTJkCLt2HdsUQ0K0x1KKwzpEHSGU0XN3IyytsYzmEBSxp8stwuHDh7N9e/Ost06nk1GjRvH6669z+eWXA/DWW2+RlZXVs7UUMa8Rm93+Gpbt2cyuw5U4lMGUzFymZ+eT7UzAkAATx6DL/6VOnz6dV199lWCweUaLBQsW8OabbzJ58mQmT57MP/7xD6699toer6iIHKUUpmli9GALrCvqsXimaCO/WP86qw4Usb++ht11h1ha/Dk3rn2VDyv3EJIbtOIYdPnJkmAwyOHDh0lLS0N9tf7Cyy+/zKuvvoppmpx//vlyZ7ef6upgVKUUzlAVwcpNBCs+x0wYgmvwyViebOxuTgTQVcow+Ov+zSwu3NDuPqZSPHDS98h3t54kuK/JoPXe1Vvnt8tdY6fT2Wqc4Ny5c5k7d26PVUr0D85gOdUf/ZrQ4a9nZlE7lpB28p3o5LF9MndfRcjPst1fdLiPpTWv7NrEraNPwyFdZNENx9TX+eKLL3j77bd5++23+eKLL2SK/ihiGtC46/UWIQjNK6HVfvYEDqu2T+pRHqijur2JEb5hQ8VuDlmBPqiRiEbdetb4lVde4e6776akpARoHpyqlCJDfwkrAAAgAElEQVQ7O5u77777qIbOiP7NCNbiL/2ozbLQ4b0QrAZ3UpvlPanBCna+ExC07aOauVmItnQ5CJ9//nluuOEG8vPzueeeexgxYgRaa7788ksWL17Mj3/8Y5qamrjqqqt6o76ij2gFqsNJSfvmxkmaq+NJEY5IcXlwKnm4V3RPl4Pw4YcfZsqUKbzxxht4PJ4WZT/84Q+54IILePjhhyUIBzjbkYon9yzqtv5fqzJn2ki0K61P6uF1xjMsMZ3iuqoO95s+ZCQZDje6j27iiOjS5f9C9+/fz2WXXdYqBAE8Hg+XX355uMssBi7btvEMPRfXoBNabDfjMkk+4QYso4NZWXpQkuHkmpEnYar2x8eku+OZmV0gISi6rcstwoKCAkpLS9stLykpYdSoUcdUKdE/NBkpJE6+FRr2E6r+EjPei5F8HCFH7y9sdITWmvFJg7htwjn8cevqVjdOhiWmc8u4M8lyxHWpTkqp8LjIb66dI2JTl4Pw3nvvZd68eUycOJFLLrmkRdkrr7zC4sWLWbx4cY9VUERWSCVAwkhU4ihsiMjiPw4Np6QOIf+k2eysq2JHzUGchskJGUPI9iSRrJxdCkFTBwkeOkD1vm0YTjfJQ8dixKe1u2B6dyilCOKgzjYI2s1dr3iHJkGFZFaafqjLA6ovu+wydu3aRVFREV6vl+HDh6OUoqioiPLyco4//vhW64oopViyZElP1lt0QzQM9lVKhQfydydQTDtIxefvUVfWcoJf79jTiM8Zj82xPaJSWFjIcaPGsK9RsabEz/66ULgs2WUweZCbsekO4rQM9emOfjOgetu2bSilyMnJAQhfD3S73eTk5BAIBMLPIh+hOri+I0RXaK273S1XShGsOdAqBAEqtq4hz3ccHMXUWx1JSvfy0UGLtaX+VmW1TTYf7GtkS5XJ3BHxxEsY9htdDsJNmzb1Rj2E6HWGYVC9f3ubZdq2CNRW4MxM6nbQGoZBhUpibUnrEPymgw0W7+zxMzvPhWkf3ThJ0btk4JWIKYaj7TVGAAyza9cav82vHazpJASPKKoOUhuSX7/+osv/Elu3bmXZsmUttn344YfMmTOHs88+m8cff7zHKidET7Isi+ShY9ssM11xOBOPfq2dttRZirL6UOc70rwM8heVwfDkxiKyuhyEv/71r3n++efDP+/bt48rr7ySzz77jIaGBu68805eeOGFHq2kiB62oWjAQkdoSi8jPg3v2NNQxtcBZLriGDzlfGzn0T3F0p76YNdakxV+Cxn52D90+Rrh559/zk9+8pPwz0uWLMG2bVauXEl2djbf//73efrpp7nyyit7tKJiYAugKWyo4m97vqDCX8/wpAy+lzuGPHdSn06qamEQnzOePN9xBGorMBxOnInp2I64Yx4VZHYx212GOsZ71KKndPm/5aqqKjIyMsI/v/vuu5x22mlkZ2cDMGPGDHbu3NlzNRQDXlDBmwe28cuNb7Lu4G6+rK3gvf3buXX93/i49kCfT/hqo7CciTgzh2OkDMEyjz0EAZKcCqdx9NE2Ms0pYwr7iS5/A71eL3v27AGgurqajRs3ctZZZ4XLAwEZEhAtTNPskWtY5cEG/q/w41bbg7bN/2xdQ5V1dDcYelpPPx2TZIQYnek+qn3jHIoh8YZMXddPdLlrfNZZZ/HUU0+RnJzMqlWrALjgggvC5du2bWPIkCE9V0PR57TW1NfXU1pailKKwYMHEx8f363xoEopttSUEdJtt3zK/XVUNjWS6m7/bu6AYVtM9TkoCdidXi88Z2gcCUaQdk6L6GNdDsK77rqLnTt3cuedd+J0Ovn1r38dXmvY7/fz2muv8W//9m89XlHRN7TWfPHFFxw4cCC8bdeuXeTm5jJq1KhuhWGok+5fNM0jGCjfx+UjR/LqznoOBVp/bqcB5+bFMzIJtHSL+40uB6HX6+Xtt9+mtrYWj8eDy/X1/+Raa5YtWxZ+6kQMLIZhUFpa2iIEj9i7dy8+n4/09PQudee01oxO9aGgzTukKS4P6Uc55+BA0NTURIbZxFWj4qkIwCcHA9QFNQ4Fo9NdDE82SVBBlIRgv9KtGaoBkpOTW22Li4tj/Pjxx1QhETmWZYWv/7aluLi41Xo1RyPLmcCMnAL+vm9bq7L/GHEimY64PmkdGYZBk7YxlcLQR3+N8Jsz1di23enrtNZ4aCLXrcjNcxDSCgMwsbHtUNv/I4iI6tbtuj179nDjjTcyadIkcnNzw9cKKysrueWWW/j00097tJKib2itCYXaHxAcCoW6dXHfjWLecVP46djTyEtMI9npYUxaFvdMnsmZmcP7JAQP6SBvlu3grs/f5bebV/DJ4TIa6fh9lVKYlp9Q1W6qPv8HVZ+9Q7C8CNPyH9UlAq012rIw7RDKllln+rMutwi3b9/OzJkzsW2bE088kT179oTnc8vIyGDDhg0EAgH+8Ic/9HhlRe8yTZP09HTq6uraLM/MzMQwjG79QidgMsN7PKdk5NJk28QZDuKV2Sd3Tat1kN989i47ayvC29aX7+Hy407g33LH4dStQ00phfLXsH/9MoINNeHttfu34/Akkn3S91DxfTcvo+hdXW4R3n333SQlJbFhwwaeeuqpVl+E8847j48+anvRH9G/aa0ZPnw4Dkfr/x9dLhe5ubnH1KqxbZtEHKQbLuLom6EjSik+qy5tEYJfFfDX4k2UBgPUajeW4WzRyjNCfko2tAzBI0L+OkrWL8MINfR29UUf6XIQrlmzhvnz5zNo0KA2uwe5ubkdzmAt+je3280pp5yC1+sNXxvLysri5JNPxul0Rrp6XWYYBqvKdrXYppWiIQT764N8XF7J4q11vFwUoCzoRBlG83RdtQcJ1rcOwSNC/nr8lSUyxVyU6HLXOBQKkZDQ/noVhw4dkgfJBzCtNR6Ph0mTJoUveTgcjmOaBzDS0t3xX/+gFPUhqPI3t2wTnG5Ctmbv4RD/b3s9/z4mCZ/bpubAl50et65kO5lZ+c2zdosBrcstwjFjxrBy5co2y7TWvP7660yaNKnT44wfP57U1NRWf745BvHpp59mwoQJ+Hw+zjjjDNasWdPV6opjcOTJkoEagNB8J/y87FEYXz3Va2lFzVfj+4bEJ+FWifgtaAxpSutDvFp4mA9313KwronKhhCNIU3IRp4JjnJdDsIFCxbwt7/9jQceeICqquYlFm3bZseOHVx77bX861//4qc//Wmnx1mxYgXbt28P//nnP/+JUoqLL74YgKVLl3L77bdzyy238OGHH3LSSSdx2WWXsXfv3q5WWcS4oe4kfjr2NBIdLiwNloZhiSn8YvzZfLQXdlY2sLOinv01jWzYX8fhJk0gOZeSWj87K+rZWVFPWX2Q4LcCMWHwCBkJEyW6vGYJwKJFi/jtb3+LZVlorcPXSUzT5J577uG6667rckUeeughHnvsMbZt20Z8fDznnHMOY8eO5bHHHgvvM3nyZC666CLuvvvuLh9fRMeaJd2mFOWWnwP+Rqr8EAh6eO/LIGX1LWeIjnMoLhjqItmqhU1/o6Hu6+uETkMxJDWORKeBwxNP7nevwHK0HAwe0+e4D/SbNUsAbr75ZubOncuyZcsoKirCtm2GDx/O7NmzycvL6/LxtNb85S9/4fLLLyc+Pp6mpiY+/fTTVi3Ls88+m3Xr1nWnyiLWaY3XcOOJT+a1bdXsrGz7jm9BhpvCsmo2l9Zwy4nf4+DGZTTW1QIQtDXFVQ0MHZTG2JNmo10JIGMDo0KnQfi9732PW2+9lTPOOAOAF198kWnTppGXl9etll9bVqxYwe7du/mP//gPoHlgtmVZeL3eFvt5vV4OHjzYI+8pYo9WBltLahib5mBnZetyj6mYMsjFf2+upDFo8/DHh/nBhIsZGqokWFaIBlze4zjsGcSqSg/fTZBrh9Gi0yBcvXp1OKAArr/+ep588slutfza89xzzzF58mQmTJjQYvu3hyZ8sxvekcLCwh6rW7SJhnPjdrsx4tworQk1Bmhqaur0NaZpEkgcxD1vbWH66GzmjPCycn8jZfUhFDAy3c2pg928uHY7VbX1AOxubOSe5dX4kjwMzxiHUrBnUwP7a3bjMg1+P3sM7rqDrRaIj4Zz3J8dy/ltr1vdaRAOGTKEDRs2hO/mHm0YHa3y8nLeeustHnroofC2jIwMTNNs1fqrqKho1Upsi1yjaVs0XL+q1kE2VO5jeelnKBTTs/M5MX0YyarjMY71luKe977EcLpZvrOSoqpGzsj3kT4sCQUUHqzlmbV7qW4MERfX8rpfbQg+K/u6K32k/M+flPHr6SNIdHx9mT0aznF/FrFrhHPnzmXRokW8/PLL4YkW/vM//5Pf/OY37b5GKXXUzxs///zzuN1u5syZE97mcrmYNGkSK1asCN9FhuYu9OzZs4/quCL61Ogg921aztbqsvC2Lw6VMj59MLeNPYtk1f7XubQuyNayw+Gfi6saKF63q939j8b2g3WU1gXJT+323CWin+j0X/DOO+8kPz+fVatWUVFREZ6OKSsr65jfXGvN4sWLmTNnDklJSS3Krr/+en784x8zZcoUpk6dyjPPPMOBAwe45pprjvl9xcCjlOJfVSUtQvCITVWlbK49yLTUIW2OeVSGyZtbS3qlXm9sLeNnp+bKTZMBrtMgNAyDK6+8MrwYU1paGjfddBOXXXbZMb/5ypUrKSoq4k9/+lOrsjlz5lBVVcWDDz5IWVkZo0ePZsmSJeFJYEVssRQsL21/LZz3SnYwLT0XvnW9DqAmYLPlwOE2XnXstpbVURvQJA+8pw/FN3S5Tf/ZZ5+RmZnZI29++umnU11d3W75/PnzmT9/fo+8lxjYFApTtT/+32EYKHSbA5wbQjZlh3tnXZSyw34aQhKEA12XnywZOnQo8fHxne8oRA8ytOa8IaPaLZ+RPQptt/1sQJOlsXrpERBbQ1Oo425xwFaUNGj21tscDimZqKEf6rRFOGHCBAzDYMOGDTidTiZMmNDpP2RXbpYIcTS01oxLGcRUbx7ryne3KDs963hGJWVG7pnodn4dlFLsr7f545piNpXWYGsYmhbHj08exvhBHpSs3NRvdBqEp556aoupyo/8LERfS8LBTaNPZUfuaN4vLUQB52aPZERCOgm0P+ORyzQwVHPrraepr47flkNN8Jt3d7Cv5utu+Z5Djdz77nYWXTSOnAT5PeovOg3CJ554osOfhehLiTiYkuTjpNRstNZHtYZInAN8SR5Ka3v+OqEvyU2co+2lqfZUB1qE4BGBkM27hRXMn5LVajC2iIxOg7C7s73k5uZ263VCdKaztVW+yTAMMgzFf04dRtnhANuqG1i+u4pDjcHOX3wUCnxJpLhbNzeVUpTVBdp93Z5DDTJzTT9yVNcIu9MVPjJFlxCRoJTCDCjq99ZSs7WCUJWf6qoGRg9O4jtjB7MlGOL5L0qO+SbKrNG+NscQaq3JS2t/mdJxWckwgOd5jDadBuEf/vAHuSYoBhyjEUrfL6KpprlV5jYVcaZB1f5aqvbXctyoDOafkMsHe6s4JduN01B8Wh7iXyW1hI7yYmK+N4EhSU7aW59zSJKTidkpfFbScsr/tDgnpw1Pk1Xt+pFOg/Cqq67qi3oI0WNMy+Dgyj3hEAQwFQxJ8fBlZT22hoodlUzNSWLM8X72bVmBbVl8b/BwLjptIo9sPERlfccTOTgNxQ2nDifJ2X7DLsHU3HLGcJZtPsiKLysIhGxOGJLClScMwRenBvTM39FGHpIUUceuD+Evr2+13eNQDE72sL/Gjy/BSfUnX5I4NZ66mubLOA2FnxJfuovrJ1/MvStbP8r3TddMHcqwZCe6kyEwaU7NDyb7mD3Giw2kugxMOr/BI/pWtxZ4F6K/Mk2TuqK2n1ZSQJrHQXaym3jTpvFQDR5HcotLPw11Nbirizkuo/0Fyv7jxFzOHZGO0ckC8Udo2ybNBRkuMI/yNaJvSRCKqBNqbP+OsqEgI96Ji+Z5CO0mC8Ns2TFqqtxDTrKr1WtTPE7uOHckFxVk4lESaNFEusYi6jgTO37wV9G8RGmc08QT70TZLcfyGZ4k6gNfB12Kx8mMgkHMGJlJVrwhNzmikAShiCqWZZE4PJVDmzpe0kE5XLhTEzCoZURmPEHLpiHY/Md7/CSSimzmTx1KvjcRX4KTzDgDbdsSglFKglBEHRVvEj8kiYb9HUy9pUyyphVQV7MKpwFOwyApPo5B487EMzib23JN7G8En5YAjGoShCLqWIaN95Qcyv65G39526vVpY0fRPxx6Xjs6aQH6tC2helJQjvjCFkaOLonV0R0kCAUUSnkshl0Vh5NFY1Uf1FOsDaAMhRxWQmkFHgxUhwElQWmG+LdAFjQ3thoEeUkCEXUshw2jsEeBg0aCqGvEs6lsLCxZBiL+AYJQhHVtNZYhobwaBhp8onWZByhECLmSRAKIWKeBKEQIuZJEAohYp4EoRAi5kkQCiFingSh6NeUUoRCIfx+P6FQKLyaYn/hMExcyoHDaH8VPdH/yThC0W9prfnyyy/ZvXs3lmVhmibDhg1j+PDhEV8+wlQG7pADvc8PjRZmnIlrsIfEhPbnMRT9lwSh6JcMw6C4uJiioqLwNsuy+PLLL3E6neTl5UVsJhilFO4mE3tLDeEHVOpC6IoAQ4b70Eqm4R9o+lc/Q4ivBINBiouL2ywrLi4+6uU8e4NDmejdjbR6Sk+D3tOAU9oXA44EoeiXtNYEAm2vCxwIBCLa4nLYBrqu7XWRrcNNmFpWfRxoJAhFv2SaJikpKW2WpaSkRPSmiUaDs+33Vw5DnmYegCQIRb9kGAYFBQWtbooc2R7JIAwaFsYgT5tlpi+OoGG1WSb6r4gG4YEDB/jJT37C8ccfj8/nY+rUqaxatSpcvmDBAlJTU1v8mT59egRrLPqK1pqUlBSmTZtGVlYWiYmJZGVlMW3aNJKTkyPaNbZsG3uQE+V1Ny+AAqBAZbrxp4NlSxAONBG7qltdXc2MGTM4+eSTWbJkCRkZGezevRuv19tivzPPPJMnn3wy/LPL1Xp1MRGdtNbEx8czYcKE8PAZrXW/uCPr1004h7pwDPGgQhrtUIRMmz07ihiRNCLS1RNdFLEgfOyxx8jKymoRcsOGDWu1n9vtxufz9WHNRH+jtcYwjH4RgN8UtEMEFXBk0TybfldHcXQi1jV+8803mTJlCtdccw0jRozgu9/9Lk899VSrL9LatWsZMWIEU6ZM4cYbb6S8vDxCNRZCRCtVXV0dkf/CjrTyrrvuOi6++GI2bdrEbbfdxt13382PfvQjAF555RXi4uLIy8tjz549LFy4ENu2+eCDD3C73e0eu7CwsE8+gxBiYMnPz29ze8SC0Ov1csIJJ/CPf/wjvO3ee+/ljTfeYP369W2+prS0lPHjx/PMM88we/bsvqpq1CgsLGz3ixBpSikMrZq7lw4G7PrB/fkcR4PeOr8Ru0bo8/kYNWpUi20jR45k37597b5m8ODBZGdnt3jsSgx8pm0QqgxQtaUcO2ARn5NM4vFp2J7+cWNERL+IBeHJJ5/Mzp07W2zbuXMnubm57b6msrKS0tJSuXkSRQxlUL+zhsqNJeFt/ooGDn9ZRfaM4wm5JAhF74vYzZLrrruODRs28NBDD1FUVMRrr73GU089xfz58wGoq6vjjjvuYP369ezevZuVK1dyxRVX4PV6mTVrVqSqLXqYatRUfXqg1fbg4SbqdlX3u2m3RHSKWItw8uTJPP/889x77708+OCD5OTk8Mtf/jIchKZpsmXLFl566SVqamrw+XycdtppPPvssyQlJUWq2qKH2Y0hdKjt64EN+2pJGJn69aBlIXpJRKfJmDFjBjNmzGizLC4ujqVLl/ZxjURfU+08swtgepxgKFmKWPQ66XeIXqGUAsMBhqPDSVRVnIk7I67NspQxmVhaHlcTvU8mThM9rkm52F2v+ay8CYCJXhd5CQqXbmq1r+3Q+E7P4+DKPfgrGgAwXCYZUwZjpDqxW036J0TPkyAUPSqonPxjXxPbqr4OveLaIAXpTmbkuHDqlvP4aa2x4xWDzslD+210yMbwmGiPwtYSgqJvSNdY9KiqoGoRgkdsqwpSFWy7i6y1xjJt7ATQKQaWW0sIij4lQSh6jGEYFNe2P4V+cW3/W4VOCJAgFD0swdH+V6qjMiEiSb6ZosfYtk1estnmLPZOA/KSzQH7DLGIbhKEokclGUEuGZFIgvPr64EJTsUlIxJJMtpe8EiISJO7xqJn2TZ5niA/GJ1A7Ve5l+yEeIJoW0ZGi/5JglD0OK01cTQRd+TbpeXhENG/SddYCBHzJAhFj1BK4XA4ME0z0lURosukayyOmSNQQ6hkM7XbP8SITyFh3HmQOhTLcHb+YiH6AQlCcUwcgWoOvXU//r2bwtsOf/Y2GefegKPgXGyZQ0sMANI1Ft2mlKJpz79ahCAA2qbqgz9hNMiKg2JgkCAU3WZi07B1RZtluqkRq7asj2skRPdIEIpu08rAcMW3W65MuUYoBgYJQtFttobEiRe0WeZIHoSRJItsiYFBglB0m9YaNWgkqdOuAuPrYTNmYgaZs27DikuPYO2EOHpy11gcE8v04Jkyl8GjTidYsRvDnYCZloMVnylrEosBQ4JQHDNLOSFpCEZyDlprQgBdCEGlFKZqblFa2pIAFX1OglD0mO4EmFs5MQ/b6PIAAK5BbqxEg0Ab65sI0VskCEXEuJUTY5cf+9DXoaermzDSXbiHeQhombZL9A25WSIiQimF2ajRh1q3/HRVE6afDpcBFaInSRCKiDAMA13RfvdXVwZkfRPRZ+SbJiLH7KDF11GZED1MglBEhGVZKK+73XKV4cayrD6skYhlEoQiYoIuGyO39SN6xtB4gk5Z5En0HblrLCI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" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "MHaKLvqT4E3o", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + } + ] +} \ No newline at end of file From 163f3fba7f59535ca6b436e4002db5d895a8ede0 Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Fri, 16 Nov 2018 13:00:39 -0600 Subject: [PATCH 6/8] Created using Colaboratory --- .../DS_Unit_1_Sprint_Challenge_2.ipynb | 703 ++++++++++++++++++ 1 file changed, 703 insertions(+) create mode 100644 module4-sequence-your-narrative/DS_Unit_1_Sprint_Challenge_2.ipynb diff --git a/module4-sequence-your-narrative/DS_Unit_1_Sprint_Challenge_2.ipynb b/module4-sequence-your-narrative/DS_Unit_1_Sprint_Challenge_2.ipynb new file mode 100644 index 0000000..58fc26d --- /dev/null +++ b/module4-sequence-your-narrative/DS_Unit_1_Sprint_Challenge_2.ipynb @@ -0,0 +1,703 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "DS_Unit_1_Sprint_Challenge_2.ipynb", + "version": "0.3.2", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + } + }, + "cells": [ + { + "metadata": { + "id": "i-n_5en3ER1o", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Data Science Unit 1 Sprint Challenge 2\n", + "\n", + "# Storytelling with Data\n", + "\n", + "In this sprint challenge you'll work with a dataset from **FiveThirtyEight's article, [Every Guest Jon Stewart Ever Had On ‘The Daily Show’](https://fivethirtyeight.com/features/every-guest-jon-stewart-ever-had-on-the-daily-show/)**!" + ] + }, + { + "metadata": { + "id": "Thm2n5FF2Fnp", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Part 0 — Run this starter code\n", + "\n", + "You don't need to add or change anything here. Just run this cell and it loads the data for you, into a dataframe named `df`.\n", + "\n", + "(You can explore the data if you want, but it's not required to pass the Sprint Challenge.)" + ] + }, + { + "metadata": { + "id": "0rTHgzJIuRS7", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "df = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/daily-show-guests/daily_show_guests.csv')\n", + "df.rename(columns={'YEAR': 'Year', 'Raw_Guest_List': 'Guest'}, inplace=True)\n", + "\n", + "def get_occupation(group):\n", + " if group in ['Acting', 'Comedy', 'Musician']:\n", + " return 'Acting, Comedy & Music'\n", + " elif group in ['Media', 'media']:\n", + " return 'Media'\n", + " elif group in ['Government', 'Politician', 'Political Aide']:\n", + " return 'Government and Politics'\n", + " else:\n", + " return 'Other'\n", + " \n", + "df['Occupation'] = df['Group'].apply(get_occupation)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "OS0nW1vz1itX", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Part 1 — What's the breakdown of guests’ occupations per year?\n", + "\n", + "For example, in 1999, what percentage of guests were actors, comedians, or musicians? What percentage were in the media? What percentage were in politics? What percentage were from another occupation?\n", + "\n", + "Then, what about in 2000? In 2001? And so on, up through 2015.\n", + "\n", + "So, **for each year of _The Daily Show_, calculate the percentage of guests from each occupation:**\n", + "- Acting, Comedy & Music\n", + "- Government and Politics\n", + "- Media\n", + "- Other\n", + "\n", + "#### Hints:\n", + "1. Use pandas to make a **crosstab** of **`Year`** & **`Occupation`**. ([This documentation](http://pandas.pydata.org/pandas-docs/stable/reshaping.html#cross-tabulations) has examples and explanation.)\n", + "2. To get percentages instead of counts, use crosstab's **`normalize`** parameter to normalize over each _row._ ([This documentation](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.crosstab.html) describes the parameter and its options.)\n", + "3. You'll know you've calculated the crosstab correctly when the percentage of \"Acting, Comedy & Music\" guests is 90.36% in 1999, and 45% in 2015." + ] + }, + { + "metadata": { + "id": "sRMc0H_5z6ff", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 202 + }, + "outputId": "a91641ee-e675-43c8-9db7-fe325d52a0e4" + }, + "cell_type": "code", + "source": [ + "df.head()" + ], + "execution_count": 2, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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21999television actress1/13/99ActingTracey UllmanActing, Comedy & Music
31999film actress1/14/99ActingGillian AndersonActing, Comedy & Music
41999actor1/18/99ActingDavid Alan GrierActing, Comedy & Music
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" + ], + "text/plain": [ + " Year GoogleKnowlege_Occupation Show Group Guest \\\n", + "0 1999 actor 1/11/99 Acting Michael J. Fox \n", + "1 1999 Comedian 1/12/99 Comedy Sandra Bernhard \n", + "2 1999 television actress 1/13/99 Acting Tracey Ullman \n", + "3 1999 film actress 1/14/99 Acting Gillian Anderson \n", + "4 1999 actor 1/18/99 Acting David Alan Grier \n", + "\n", + " Occupation \n", + "0 Acting, Comedy & Music \n", + "1 Acting, Comedy & Music \n", + "2 Acting, Comedy & Music \n", + "3 Acting, Comedy & Music \n", + "4 Acting, Comedy & Music " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 2 + } + ] + }, + { + "metadata": { + "id": "0Dg5Ovh6R_V-", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "XW1YJWkGRqqe", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + }, + "outputId": "e1167de9-01dc-4416-d983-47971c23b216" + }, + "cell_type": "code", + "source": [ + "ct = pd.crosstab(df.Year, df.Occupation, normalize='index')\n", + "ct = ct*100\n", + "ct" + ], + "execution_count": 3, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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200073.9644978.28402412.4260365.325444
200172.6114653.82165619.7452233.821656
200262.2641516.91823926.4150944.402516
200356.02409610.24096424.6987959.036145
200438.41463422.56097627.43902411.585366
200537.03703716.04938333.33333313.580247
200636.02484519.25465829.19254715.527950
200725.53191517.02127733.33333324.113475
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200920.85889620.85889636.19631922.085890
201035.15151518.18181830.30303016.363636
201133.74233116.56441731.28834418.404908
201226.82926820.12195131.70731721.341463
201342.77108412.65060230.72289213.855422
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"2004 11.585366 \n", + "2005 13.580247 \n", + "2006 15.527950 \n", + "2007 24.113475 \n", + "2008 12.195122 \n", + "2009 22.085890 \n", + "2010 16.363636 \n", + "2011 18.404908 \n", + "2012 21.341463 \n", + "2013 13.855422 \n", + "2014 15.337423 \n", + "2015 14.000000 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 3 + } + ] + }, + { + "metadata": { + "id": "Nqf9oJJDDu-d", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Part 2 — Recreate this explanatory visualization:" + ] + }, + { + "metadata": { + "id": "scozkHQc0_eD", + "colab_type": "code", + "outputId": "fa15b131-f123-420f-bdb1-795ac4067cec", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 406 + } + }, + "cell_type": "code", + "source": [ + "from IPython.display import display, Image\n", + "url = 'https://fivethirtyeight.com/wp-content/uploads/2015/08/hickey-datalab-dailyshow.png'\n", + "example = Image(url, width=500)\n", + "display(example)" + ], + "execution_count": 4, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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ZBtnkfptMLmk+J6HR1RolfR2cZ4kCMURmERt2i1wRFHvq1F3TaMmmGBsU6Ssc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\n4JhflzBydcIRb30AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [], + "image/png": { + "width": 500 + } + } + } + ] + }, + { + "metadata": { + "id": "W7lw3JzAE6BJ", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Hint:** use the crosstab you calculated in part 1!\n", + "\n", + "**Expectations:** Your plot should include:\n", + "- 3 lines visualizing \"occupation of guests, by year.\" The shapes of the lines should look roughly identical to 538's example. Each line should be a different color. (But you don't need to use the _same_ colors as 538.)\n", + "- Legend or labels for the lines. (But you don't need each label positioned next to its line or colored like 538.)\n", + "- Title in the upper left: _\"Who Got To Be On 'The Daily Show'?\"_ with more visual emphasis than the subtitle. (Bolder and/or larger font.)\n", + "- Subtitle underneath the title: _\"Occupation of guests, by year\"_\n", + "\n", + "Any visual element not specifically mentioned in the expectations is an optional bonus, but it's _not_ required to pass the Sprint Challenge.\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "metadata": { + "id": "YhGhnLj6TPpg", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "outputId": "5927ed61-4f0e-47da-b4e2-cf4a313d1673" + }, + "cell_type": "code", + "source": [ + "ct.columns" + ], + "execution_count": 5, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['Acting, Comedy & Music', 'Government and Politics', 'Media', 'Other'], dtype='object', name='Occupation')" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 5 + } + ] + }, + { + "metadata": { + "id": "TA7RolJJV9jI", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "year = ct.index.tolist()" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "E8XBAr8rz_Na", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 320 + }, + "outputId": "e2179daf-3c19-4ea2-8976-aa2678f8ef3b" + }, + "cell_type": "code", + "source": [ + "plt.style.use('fivethirtyeight')\n", + " \n", + "\n", + "ax = sns.lineplot(x=year, y=ct['Acting, Comedy & Music'].tolist(),lw=3.2)\n", + "ax1 = sns.lineplot(x=year, y=ct['Government and Politics'].tolist(), lw=3.2)\n", + "ax2 = sns.lineplot(x=year, y=ct['Media'].tolist(), lw=3.2)\n", + "\n", + "# Title & subtitle text\n", + "plt.suptitle(\"Who Got To Be On 'The Daily Show'?\", x=-0.01, y=.95,\n", + " horizontalalignment='left', verticalalignment='top',\n", + " fontsize = 15, fontweight='semibold', color='#333333')\n", + "\n", + "# Removing spines\n", + "for key, spine in ax.spines.items():\n", + " spine.set_visible(False)\n", + "\n", + "# Y-axis limit\n", + "plt.ylim(-5, 105)\n", + "# Y-axis ticks & labels\n", + "ax.set_yticks([0, 25, 50, 75, 100])\n", + "ax.set_yticklabels(labels=['0', '25', '50', '75', '100%'], fontsize=14, color='black')\n", + "\n", + "\n", + "# X-axis ticks & labels\n", + "ax.set_xticks([2000, 2004, 2008, 2012])\n", + "ax.set_xticklabels(['2000', '2004', '20008', '2012'], fontsize=14, color='black')\n", + "\n", + "# Horizontal line at y=0\n", + "ax.axhline(y=0, color='gray', linewidth=2.5, alpha=0.8) \n" + ], + "execution_count": 11, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 11 + }, + { + "output_type": "display_data", + "data": { + "image/png": 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1a+THw52DtOlPD+axJ6dO7GYhhGhwFLPZ7PPeB+PGjePEiROsXr26zHUsFgs9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\nOrtKEOozs2UcziDv4vMn8SS5BnrRQRz7F2AU7PR8Q7ZhiXs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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "LuacMjSf2ses", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# Part 3 — Who were the top 10 guests on _The Daily Show_?\n", + "\n", + "**Make a plot** that shows their names and number of appearances.\n", + "\n", + "**Hint:** you can use the pandas `value_counts` method.\n", + "\n", + "**Expectations:** This can be a simple, quick plot: exploratory, not explanatory. \n", + "\n", + "If you want, you can add titles and change aesthetics, but it's _not_ required to pass the Sprint Challenge." + ] + }, + { + "metadata": { + "id": "mS8vr952sU2j", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "outputId": "ed5957e5-c559-4fb6-d942-07fc2ed69491" + }, + "cell_type": "code", + "source": [ + "df['Guest'].value_counts().head(10).plot(kind='barh');" + ], + "execution_count": 12, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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JhIeH4+XlRfny5XF1ddX0+2fhfZOcJ06cYO/evQQGBtKhQwetMR4/fsw333zD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\nOo4QQohCRgp6EfHvb8QTQggh/qlQfvW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+ "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "0qA6FrAmr2z-", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + } + ] +} \ No newline at end of file From 425a75adc6ba2b7ae4c434434ac7d7c122005112 Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Fri, 16 Nov 2018 16:31:27 -0600 Subject: [PATCH 7/8] Fixed 2nd graph --- DS_Unit_1_Sprint_Challenge_2.ipynb | 755 +++++++++++++++++++++++++++++ 1 file changed, 755 insertions(+) create mode 100644 DS_Unit_1_Sprint_Challenge_2.ipynb diff --git a/DS_Unit_1_Sprint_Challenge_2.ipynb b/DS_Unit_1_Sprint_Challenge_2.ipynb new file mode 100644 index 0000000..b019be1 --- /dev/null +++ b/DS_Unit_1_Sprint_Challenge_2.ipynb @@ -0,0 +1,755 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "DS_Unit_1_Sprint_Challenge_2.ipynb", + "version": "0.3.2", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + } + }, + "cells": [ + { + "metadata": { + "colab_type": "text", + "id": "i-n_5en3ER1o" + }, + "cell_type": "markdown", + "source": [ + "# Data Science Unit 1 Sprint Challenge 2\n", + "\n", + "# Storytelling with Data\n", + "\n", + "In this sprint challenge you'll work with a dataset from **FiveThirtyEight's article, [Every Guest Jon Stewart Ever Had On ‘The Daily Show’](https://fivethirtyeight.com/features/every-guest-jon-stewart-ever-had-on-the-daily-show/)**!" + ] + }, + { + "metadata": { + "colab_type": "text", + "id": "Thm2n5FF2Fnp" + }, + "cell_type": "markdown", + "source": [ + "# Part 0 — Run this starter code\n", + "\n", + "You don't need to add or change anything here. Just run this cell and it loads the data for you, into a dataframe named `df`.\n", + "\n", + "(You can explore the data if you want, but it's not required to pass the Sprint Challenge.)" + ] + }, + { + "metadata": { + "colab_type": "code", + "id": "0rTHgzJIuRS7", + "colab": {} + }, + "cell_type": "code", + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "df = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/daily-show-guests/daily_show_guests.csv')\n", + "df.rename(columns={'YEAR': 'Year', 'Raw_Guest_List': 'Guest'}, inplace=True)\n", + "\n", + "def get_occupation(group):\n", + " if group in ['Acting', 'Comedy', 'Musician']:\n", + " return 'Acting, Comedy & Music'\n", + " elif group in ['Media', 'media']:\n", + " return 'Media'\n", + " elif group in ['Government', 'Politician', 'Political Aide']:\n", + " return 'Government and Politics'\n", + " else:\n", + " return 'Other'\n", + " \n", + "df['Occupation'] = df['Group'].apply(get_occupation)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "colab_type": "text", + "id": "OS0nW1vz1itX" + }, + "cell_type": "markdown", + "source": [ + "# Part 1 — What's the breakdown of guests’ occupations per year?\n", + "\n", + "For example, in 1999, what percentage of guests were actors, comedians, or musicians? What percentage were in the media? What percentage were in politics? What percentage were from another occupation?\n", + "\n", + "Then, what about in 2000? In 2001? And so on, up through 2015.\n", + "\n", + "So, **for each year of _The Daily Show_, calculate the percentage of guests from each occupation:**\n", + "- Acting, Comedy & Music\n", + "- Government and Politics\n", + "- Media\n", + "- Other\n", + "\n", + "#### Hints:\n", + "1. Use pandas to make a **crosstab** of **`Year`** & **`Occupation`**. ([This documentation](http://pandas.pydata.org/pandas-docs/stable/reshaping.html#cross-tabulations) has examples and explanation.)\n", + "2. To get percentages instead of counts, use crosstab's **`normalize`** parameter to normalize over each _row._ ([This documentation](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.crosstab.html) describes the parameter and its options.)\n", + "3. You'll know you've calculated the crosstab correctly when the percentage of \"Acting, Comedy & Music\" guests is 90.36% in 1999, and 45% in 2015." + ] + }, + { + "metadata": { + "colab_type": "code", + "id": "sRMc0H_5z6ff", + "outputId": "b422d554-d724-4497-f300-beee02fca924", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 202 + } + }, + "cell_type": "code", + "source": [ + "df.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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YearGoogleKnowlege_OccupationShowGroupGuestOccupation
01999actor1/11/99ActingMichael J. FoxActing, Comedy & Music
11999Comedian1/12/99ComedySandra BernhardActing, Comedy & Music
21999television actress1/13/99ActingTracey UllmanActing, Comedy & Music
31999film actress1/14/99ActingGillian AndersonActing, Comedy & Music
41999actor1/18/99ActingDavid Alan GrierActing, Comedy & Music
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" + ], + "text/plain": [ + " Year GoogleKnowlege_Occupation Show Group Guest \\\n", + "0 1999 actor 1/11/99 Acting Michael J. Fox \n", + "1 1999 Comedian 1/12/99 Comedy Sandra Bernhard \n", + "2 1999 television actress 1/13/99 Acting Tracey Ullman \n", + "3 1999 film actress 1/14/99 Acting Gillian Anderson \n", + "4 1999 actor 1/18/99 Acting David Alan Grier \n", + "\n", + " Occupation \n", + "0 Acting, Comedy & Music \n", + "1 Acting, Comedy & Music \n", + "2 Acting, Comedy & Music \n", + "3 Acting, Comedy & Music \n", + "4 Acting, Comedy & Music " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 2 + } + ] + }, + { + "metadata": { + "colab_type": "code", + "id": "0Dg5Ovh6R_V-", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "colab_type": "code", + "id": "XW1YJWkGRqqe", + "outputId": "3ad912db-1b30-44b6-f0f0-251156be6df5", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + } + }, + "cell_type": "code", + "source": [ + "ct = pd.crosstab(df.Year, df.Occupation, normalize='index')\n", + "ct = ct*100\n", + "ct" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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OccupationActing, Comedy & MusicGovernment and PoliticsMediaOther
Year
199990.3614461.2048196.6265061.807229
200073.9644978.28402412.4260365.325444
200172.6114653.82165619.7452233.821656
200262.2641516.91823926.4150944.402516
200356.02409610.24096424.6987959.036145
200438.41463422.56097627.43902411.585366
200537.03703716.04938333.33333313.580247
200636.02484519.25465829.19254715.527950
200725.53191517.02127733.33333324.113475
200820.73170720.12195146.95122012.195122
200920.85889620.85889636.19631922.085890
201035.15151518.18181830.30303016.363636
201133.74233116.56441731.28834418.404908
201226.82926820.12195131.70731721.341463
201342.77108412.65060230.72289213.855422
201439.26380412.88343632.51533715.337423
201545.00000017.00000024.00000014.000000
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" + ], + "text/plain": [ + "Occupation Acting, Comedy & Music Government and Politics Media \\\n", + "Year \n", + "1999 90.361446 1.204819 6.626506 \n", + "2000 73.964497 8.284024 12.426036 \n", + "2001 72.611465 3.821656 19.745223 \n", + "2002 62.264151 6.918239 26.415094 \n", + "2003 56.024096 10.240964 24.698795 \n", + "2004 38.414634 22.560976 27.439024 \n", + "2005 37.037037 16.049383 33.333333 \n", + "2006 36.024845 19.254658 29.192547 \n", + "2007 25.531915 17.021277 33.333333 \n", + "2008 20.731707 20.121951 46.951220 \n", + "2009 20.858896 20.858896 36.196319 \n", + "2010 35.151515 18.181818 30.303030 \n", + "2011 33.742331 16.564417 31.288344 \n", + "2012 26.829268 20.121951 31.707317 \n", + "2013 42.771084 12.650602 30.722892 \n", + "2014 39.263804 12.883436 32.515337 \n", + "2015 45.000000 17.000000 24.000000 \n", + "\n", + "Occupation Other \n", + "Year \n", + "1999 1.807229 \n", + "2000 5.325444 \n", + "2001 3.821656 \n", + "2002 4.402516 \n", + "2003 9.036145 \n", + "2004 11.585366 \n", + "2005 13.580247 \n", + "2006 15.527950 \n", + "2007 24.113475 \n", + "2008 12.195122 \n", + "2009 22.085890 \n", + "2010 16.363636 \n", + "2011 18.404908 \n", + "2012 21.341463 \n", + "2013 13.855422 \n", + "2014 15.337423 \n", + "2015 14.000000 " + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 3 + } + ] + }, + { + "metadata": { + "colab_type": "text", + "id": "Nqf9oJJDDu-d" + }, + "cell_type": "markdown", + "source": [ + "# Part 2 — Recreate this explanatory visualization:" + ] + }, + { + "metadata": { + "colab_type": "code", + "id": "scozkHQc0_eD", + "outputId": "64a105e6-8fa5-45e5-c78e-d29fcd19b3f2", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 406 + } + }, + "cell_type": "code", + "source": [ + "from IPython.display import display, Image\n", + "url = 'https://fivethirtyeight.com/wp-content/uploads/2015/08/hickey-datalab-dailyshow.png'\n", + "example = Image(url, width=500)\n", + "display(example)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [], + "image/png": { + "width": 500 + } + } + } + ] + }, + { + "metadata": { + "colab_type": "text", + "id": "W7lw3JzAE6BJ" + }, + "cell_type": "markdown", + "source": [ + "**Hint:** use the crosstab you calculated in part 1!\n", + "\n", + "**Expectations:** Your plot should include:\n", + "- 3 lines visualizing \"occupation of guests, by year.\" The shapes of the lines should look roughly identical to 538's example. Each line should be a different color. (But you don't need to use the _same_ colors as 538.)\n", + "- Legend or labels for the lines. (But you don't need each label positioned next to its line or colored like 538.)\n", + "- Title in the upper left: _\"Who Got To Be On 'The Daily Show'?\"_ with more visual emphasis than the subtitle. (Bolder and/or larger font.)\n", + "- Subtitle underneath the title: _\"Occupation of guests, by year\"_\n", + "\n", + "Any visual element not specifically mentioned in the expectations is an optional bonus, but it's _not_ required to pass the Sprint Challenge.\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "metadata": { + "colab_type": "code", + "id": "YhGhnLj6TPpg", + "colab": {} + }, + "cell_type": "code", + "source": [ + "ct = ct.drop(columns=['Other'])" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "F02wBqt0pFp8", + "colab_type": "code", + "colab": {}, + "outputId": "b4e5b732-1873-4d6e-ceb3-4435715e2c58" + }, + "cell_type": "code", + "source": [ + "ct.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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OccupationActing, Comedy & MusicGovernment and PoliticsMedia
Year
199990.3614461.2048196.626506
200073.9644978.28402412.426036
200172.6114653.82165619.745223
200262.2641516.91823926.415094
200356.02409610.24096424.698795
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" + ], + "text/plain": [ + "Occupation Acting, Comedy & Music Government and Politics Media\n", + "Year \n", + "1999 90.361446 1.204819 6.626506\n", + "2000 73.964497 8.284024 12.426036\n", + "2001 72.611465 3.821656 19.745223\n", + "2002 62.264151 6.918239 26.415094\n", + "2003 56.024096 10.240964 24.698795" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 22 + } + ] + }, + { + "metadata": { + "colab_type": "code", + "id": "TA7RolJJV9jI", + "colab": {} + }, + "cell_type": "code", + "source": [ + "year = ct.index.tolist()" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "colab_type": "code", + "id": "E8XBAr8rz_Na", + "outputId": "ecd9672a-a7e5-4d37-894d-054056fa45db", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 493 + } + }, + "cell_type": "code", + "source": [ + "fig, ax = plt.subplots(figsize=(8,6))\n", + " \n", + "\n", + " \n", + "# Plotting based all dates except those after Aug. 27 (exclude last 2 dates)\n", + "ax = sns.lineplot(x=year, y=ct['Acting, Comedy & Music'].tolist(), color='#0F95D7')\n", + "ax2 = sns.lineplot(x=year, y=ct['Government and Politics'].tolist(), color='#CA4D26')\n", + "ax3 = sns.lineplot(x=year, y=ct['Media'].tolist(), color='#782478')\n", + "\n", + "# Removing spine lines all around plot\n", + "for key,spine in ax1.spines.items():\n", + " spine.set_visible(False);\n", + "\n", + "# Y axis past 0 & above 100 -- grid line will pass 0 & 100 marker\n", + "plt.ylim(-5,110)\n", + "\n", + "# Bolded horizontal line at y=0\n", + "ax.axhline(y=0, color='black', linewidth=1.3, alpha=.7)\n", + "\n", + "# Y-labels to only these\n", + "ax.set_yticks([0, 25, 50, 75, 100])\n", + "ax.set_yticklabels(labels=['0', '25', '50', '75', '100%'], fontsize=14)\n", + "\n", + "# X-labels based on x-axis values (first_thru_last)\n", + "# And changing label names\n", + "ax.set_xticks([2000, 2004, 2008, 2012])\n", + "ax.set_xticklabels(['2000', '2004', '20008', '2012'], fontsize=14, color='black')\n", + "\n", + "# Title and subtitle as text\n", + "ax.text(x=1996.7, y=118, s=\"Who Got to Be On 'The Daily Show'?\", fontsize=18.5, fontweight='semibold', color='#333333')\n", + "ax.text(x=1996.7, y=112, s='Occupation of guests, by year', fontsize=16.5, color='#333333')\n", + "\n", + "# Text comments on graph\n", + "ax.text(x=2000.5, y=81, s=\"Acting, Comedy & Music\", fontsize=13, fontweight='semibold', color='#0F95D7')\n", + "ax.text(x=2008.5, y=6, s=\"Government and Politics\", fontsize=13, fontweight='semibold', color='#CA4D26')\n", + "ax.text(x=2007.1, y=52, s=\"Media\", fontsize=13, fontweight='semibold', color='#782478')\n", + "\n", + "# Line at bottom for signature line\n", + "ax.text(x = 1996.7, y = -18.5,\n", + " s = ' ©Carlos Gutierrez Source: FiveThirtyEight ',\n", + " fontsize = 14, color = '#f0f0f0', backgroundcolor = 'grey');" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "colab_type": "text", + "id": "LuacMjSf2ses" + }, + "cell_type": "markdown", + "source": [ + "# Part 3 — Who were the top 10 guests on _The Daily Show_?\n", + "\n", + "**Make a plot** that shows their names and number of appearances.\n", + "\n", + "**Hint:** you can use the pandas `value_counts` method.\n", + "\n", + "**Expectations:** This can be a simple, quick plot: exploratory, not explanatory. \n", + "\n", + "If you want, you can add titles and change aesthetics, but it's _not_ required to pass the Sprint Challenge." + ] + }, + { + "metadata": { + "colab_type": "code", + "id": "tbwfBN3HsFlh", + "colab": {} + }, + "cell_type": "code", + "source": [ + "" + ], + "execution_count": 0, + "outputs": [] + } + ] +} \ No newline at end of file From 9b3a382fa53cd30c8436531611345365e18ae771 Mon Sep 17 00:00:00 2001 From: Carlos Gutierrez Date: Fri, 16 Nov 2018 16:47:35 -0600 Subject: [PATCH 8/8] Edited --- DS_Unit_1_Sprint_Challenge_2.ipynb | 50 +++++++++++++++++++++++++++--- 1 file changed, 46 insertions(+), 4 deletions(-) diff --git a/DS_Unit_1_Sprint_Challenge_2.ipynb b/DS_Unit_1_Sprint_Challenge_2.ipynb index b019be1..2c52491 100644 --- a/DS_Unit_1_Sprint_Challenge_2.ipynb +++ b/DS_Unit_1_Sprint_Challenge_2.ipynb @@ -104,17 +104,17 @@ "metadata": { "colab_type": "code", "id": "sRMc0H_5z6ff", - "outputId": "b422d554-d724-4497-f300-beee02fca924", + "outputId": "155736f8-bf15-450c-9d38-491dfb6a4344", "colab": { "base_uri": "https://localhost:8080/", - "height": 202 + "height": 197 } }, "cell_type": "code", "source": [ "df.head()" ], - "execution_count": 0, + "execution_count": 4, "outputs": [ { "output_type": "execute_result", @@ -215,7 +215,7 @@ "metadata": { "tags": [] }, - "execution_count": 2 + "execution_count": 4 } ] }, @@ -742,6 +742,48 @@ "metadata": { "colab_type": "code", "id": "tbwfBN3HsFlh", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 285 + }, + "outputId": "47a487d4-2944-4929-ee70-e102c0489cb2" + }, + "cell_type": "code", + "source": [ + "df.Guest.value_counts().head(10).plot(kind='barh')" + ], + "execution_count": 6, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 6 + }, + { + "output_type": "display_data", + "data": { + "image/png": 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Mcs/JzMzMcs/JzMzMcs/JzMzMcs9/NF0lTY+vo+6C39U6DDOzqlp18Xuq0o9H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\noojlL6lbAAAAAElFTkSuQmCC\n", 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