#TidyTuesday Contributions
My contributions to the #TidyTuesday challenge, a weekly social data project that focusses on understanding data wrangling/cleaning to make charts/graphs with {ggplot2}, {tidyr}, {dplyr}, and many more packages. The project was founded in 2018 by Thomas Mock and organized by the R4DS ("R for Data Science") online learning community.
Contributions in chronological order (click to expand)
- Challenges 2023
- 2023/03 🎨 Art History
- 2023/08
🎨 Bob Ross - 2023/09 🌍 African Languages
- 2023/10
🐾 Numbats in Australia
- Challenges 2022
- 2022/26
💰 UK Gender Pay gap - 2022/27
🏠 San Francisco Rentals - 2022/28
✈ European Flights - 2022/29
⚙ Technology Adoptation - 2022/31
🐸 Oregon Spotted Frogs - 2022/33 🧑 FRIENDS Characters Personality
- 2022/34
💾 Chips - 2022/35
💵 Pell Grants - 2022/36
🧱 LEGOs - 2022/37
🦶 Bigfoot - 2022/38 💧 Waste Water Plants
- 2022/39 🎭 Artists in USA
- 2022/41
🧵 Spooky Threads - 2022/42
👽 Stranger Things
- 2022/26
2023, Week 10: 🐾 Numbats in Australia
2023, Week 09: 🌍 African Languages
2023, Week 08: 🎨 Bob Ross
2023, Week 03: 🎨 Art History
2022 Enteries
2022, Week 42: 👽 Stranger Things
2022, Week 41: 🧵 Spooky Threads
2022, Week 39: 🎭 Artists in USA
2022, Week 38: 💧 Waste Water Plants
2022, Week 37: 🦶 Bigfoot
2022, Week 36: LEGOS
2022, Week 35: Pell Grants
2022, Week 34: Chips
2022, Week 33: Character Personalities
2022, Week 31: Oregon Spotted Frogs
2022, Week 29: Technology Adoption
2022, Week 28: European flights
2022, Week 27: San Francisco Rentals
2022, Week 26: UK Gender Pay Gap
