The data this week comes from the Government of Canada.
H/t to Will Noel, Tim Weis and Andrew Leach for collecting the data. Blake Shaffer and Alyssa Goldberg for visualizing and sharing!
Canada's National Observer Article on this dataset.
# Get the Data
# Read in with tidytuesdayR package
# Install from CRAN via: install.packages("tidytuesdayR")
# This loads the readme and all the datasets for the week of interest
# Either ISO-8601 date or year/week works!
tuesdata <- tidytuesdayR::tt_load('2020-10-27')
tuesdata <- tidytuesdayR::tt_load(2020, week = 44)
wind_turbine <- tuesdata$wind-turbine
# Or read in the data manually
wind_turbine <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-10-27/wind-turbine.csv')
| variable | class | description |
|---|---|---|
| objectid | double | Unique ID |
| province_territory | character | Province/territory |
| project_name | character | Project name |
| total_project_capacity_mw | double | Electrical capacity in megawatts |
| turbine_identifier | character | Turbine ID |
| turbine_number_in_project | character | Turbine number in project |
| turbine_rated_capacity_k_w | double | Turbine capacity in kilowatts |
| rotor_diameter_m | double | Rotor diameter in meters |
| hub_height_m | double | Hub height in meters |
| manufacturer | character | Manufacturer |
| model | character | Model ID |
| commissioning_date | character | Commission date |
| latitude | double | Latitude |
| longitude | double | Longitude |
| notes | character | Notes about the data |
No cleaning!