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} and other canonical 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 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
