My contributions to the #TidyTuesday challenge, a weekly social data project that focuses on understanding how to summarize and arrange data to make meaningful and/or beautiful charts. I use this challenge as an opportunity to practice {pandas}, {matplotlib}, {seaborn} , {tidyverse}, {ggplot2} and other canonical R/Python data science packages. The project was founded in 2018 by Thomas Mock and organized by the R4DS ("R for Data Science") online learning community. The intent is to provide a safe and supportive forum to practice their wrangling and data visualization skills.
DISCLAIMER:
❌ no Illustrator or Photoshop was harmed during the making of these visualizations.
💯 certified matplotlib/seaborn/ggplot2 quality.
Contributions in chronological order (click to expand)
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Challenges 2021
- 2021/2 🚅 Transit Costs Project
- 2021/3 🎨 Art Collections
- 2021/4 🇰🇪 Kenya Census
- 2021/5 ♻️ Plastic Pollution
- 2021/7 💰 Wealth and Income
- 2021/8 🕊️ Du Bois Challenge
- 2021/12 🎮 Video Games
- 2021/14 💄 Makeup Shades
- 2021/17 🎥 Netflix Titles
- 2021/20 📶 US Broadband
- 2021/21 👔 Ask a Manager
- 2021/22 🚗 Mario Kart World Records
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Challenges 2020
- 2020/27 🦸 Uncanny X-Men
- 2020/28 ☕️ Coffee Ratings
- 2020/29 👨🚀 Astronaut Database
- 2020/30 😿 Australian Animal Outcomes
- 2020/31 🐧 Palmer Penguins
- 2020/39 🗻 Himalayan Climbers
- 2020/42 🦖 The Datasaurus Dozen
- 2020/43 🍻 Great American Beer Festival
- 2020/45 📏 IKEA Furniture
- 2020/46 📱 Historical Phones
- 2020/48🌲 Washington Trails
- 2020/49 🏠 Toronto Shelters
- 2020/51 🍔 The Big Mac Index
2021/21 👔 Ask a Manager Survey by Ask a Manager
2021/14 💄 Makeup Shades by The Pudding
2021/8 🕊️ Du Bois Challenge by Du Bois Data Challenge
2021/7 💰 Wealth and Income by Urban Institute
2021/5 ♻️ Plastic Pollution by Break Free from Plastic
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2021/4 🇰🇪 Kenya Census by rKenyaCensus
2021/3 🎨 Art Collections by Tate Art Museum
2021/2 🚅 Transit Costs Project by TransitCosts.com
2020/51 🍔 The Big Mac Index by the Economist
2020/49 🏠 Toronto Shelters by opendatatoronto
2020/46 📱 Historical Phones by OurWorldInData.org
2020/42 🦖 The Datasaurus Dozen by Alberto Cairo
2020/39 🗻 Himalayan Climbers by The Himalayan Database
2020/31 🐧 Palmer Penguins by Gorman, Williams and Fraser (2014)
2020/29 👨🚀 Astronaut Database by Stavnichuk & Corlett (2020)
2020/28 ☕️ Coffee Ratings by Coffee Quality Institute
2020/27 🦸️ Uncanny X-Men by Claremont Run Project
