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#TidyTuesday visualisations and code. Founded by Thomas Mock, and organised by the R4DS (R for Data Science) online learning community, #TidyTuesday is a weekly data challenge which focuses on data cleaning, wrangling and visualisation using the {tidyverse}. More information on this challenge can be found here: https://github.com/rfordatascience/tidytuesday 💻
Feedback is welcome via Twitter or e-mail.
Week 28 (European Flights ✈️ ) (code)
Week 26 (Gender Pay Gap 💼) (code)
Week 21 (Women's Rugby 🏉) (code)
Week 4 (Board Games 🎲) (code)
Week 51 (Spice Girls 🎵) (code)
Week 43 (Big Pumpkins 🎃) (code)
Week 38 (Billboard Top 100 🎵) (code)
Week 18 (CEO Departures 💼) (code)
Week 15 (Deforestation 🌳) (code)
Week 13 (United Nations 🇺🇳) (code)
Week 12 (Video Games 🎮) (code)
Week 5 (#breakfreefromplastic 🌐) (code)
Week 3 (TATE Collection 🎨) (code)
Week 49 (Toronto Shelters 🍁) (code)
Week 48 (Washington Trails ⛰️) (code)
Week 46 (Landline vs. Mobile 📞) (code)
Week 45 (The IKEA Catalogue 🇸🇪) (code)
Week 44 (Canadian Wind Turbines 🍁) (code)
Week 43 (Great American Beer Festival 🍺) (code)
Week 42 (DataSaurus Dozen 🦕) (code)
Week 41 (NCAA Women's Basketball 🏀) (code)
Week 40 (Beyoncé and Taylor Swift Lyrics 🎵) (code)
Week 39 (The Himalayan Database ⛰️) (code)
Week 38 (United States Kids Spending 🚸) (code)
Week 37 (Friends 📺) (code)
Week 36 (Global Crop Varieties 🌐) (code)
Week 35 (CHOPPED TV Series 🍳) (code)
Week 34 (Global Extinct Species 🌐) (code)
Week 33 (Avatar: The Last Airbender) (code)
