My contributions to the #TidyTuesday project, a weekly data project created by Thomas Mock aimed at the R ecosystem with an emphasis on understanding how to summarize and arrange data to make meaningful charts with {ggplot2}, {tidyr}, {dplyr}, and other tools in the tidyverse ecosystem. It is a terrific resource for individuals, like myself, who are new to programming.
Week 2020/48 Which Washington State region has the highest average hiking trail rating? | Data: Washington Trails Association | Code
Week 2020/46 Landline versus Mobile Subscriptions - Top Countries by Average Population, 1990 to 2019 | Data: Our World in Date | Code
Week 2020/44 Canadian Wind Turbines - Total capacity and number of turbines per project, 1993 - 2019 | Data: Government of Canada | Code
Week 2020/43 Top Breweries by Total Medals | Data: The Great American Beer Festival | Code
Week 2020/39 Himalayan Climbing Expeditions: 1909 - 2019 Shiny Interactive DataTable | Data: the Himalayan Database | Code
Week 2020/38 Public Spending on Elementary and Secondary Education | Data: Urban Institute | Code
Week 2020/36 Global Crop Yields | Data: Our World in Data | Code
Week 2020/35 Chopped - Most Common Main Ingredient by Course | Data: Kaggle | Code
Week 2020/34 Plants in Danger | Data: IUCN Red List | Code
Week 2020/32 European Energy | Data: Eurostat | Code
Week 2020/31 Palmer Penguins | Data: Gorman, Williams and Fraser, 2014 | Code
Week 2020/30 Australian Pets | Data: RSPCA, Townsville Animal Complaints and Brisbane Open Data - Animal Complaints | Code
Week 2020/29 Astronaut Databse | Data: Tatsuya Corletta, Mariya Stavnichukab , Svetlana V.Komarova | Code
Week 2018/23 The Most Unhealthy Fast Food Items | Data: Fast Food Nutrition | Code
