My contributions to the #TidyTuesday challenge, a weekly social data project that focusses on understanding how to summarize and arrange data to make meaningful charts with {ggplot2}, {tidyr}, {dplyr} and other tools that are part of the {tidyverse} ecosystem. 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.
Feedback is very welcome via Twitter or mail.
Contributions in chronological order (click to expand)
- Challenges 2018
- 2018/03 ⚱️ Global Mortality
- 2018/33 🏥 Malaria
- Challenges 2019
- 2019/14 🚴 Seattle Bike Traffic️
- 2019/16 📊 The Economists' Data Viz Mistakes️
- 2019/17 🐉 Anime Data
- 2019/18 🐥 Chicago Bird Collisions️
- 2019/19 👨🏫 Global Student to Teachers Ratios️
- 2019/20 🎖️ Nobel Prize Winners
- 2019/21 🚮 Global Plastic Waste️
- 2019/22 🍷️ Wine Ratings
- 2019/24 🌠 Meteorites
- 2019/25 🐦 Christmas Bird Counts
- 2019/27 💰 Media Franchise Revenues️
- 2019/28 ⚽ FIFA Women's World Cup️
- 2019/33 🌿 Roman Emperors️
- 2019/34 ☢️ Nuclear Explosions️
- 2019/35 💛 Simpsons Guest Stars️
- 2019/36 🖥️ Moore's Law️
- 2019/38 🏞️ US National Park Visits
- 2019/39 🏫️ US School Diversity️
- 2019/40 🍕 NYC Pizza Ratings️
- 2019/42 🚘 Big Cars️
- 2019/44 🐿️ NYC Squirrels️
- 2019/50 🎤 Replicating Plots (Rap Edition)
- 2019/51 🐩 Adoptable Dogs
- 2019/52 🎄 Christmas Songs
- Challenges 2020
- 2020/01 ❄️️ Bring Your Own Data: White Christmas in Berlin
- 2020/02 🔥 Australian Fires
- 2020/03 🔑 Passwords
- 2020/04 🎶 Spotify Songs: The Golden Age of Hip Hop
- 2020/05 🌳 San Francisco Trees
- 2020/07 🛏️ Hotel Bookings
- 2020/08 🍖 Foot Carbon Footprint
- 2020/12 🏢 The Office on IMDb
- 2020/14 🍺 Beer Production
- 2020/15 🚵 Tour de France History
- 2020/16 🎙️ Best Hip-Hop Songs of All Time
- 2020/18 🎭️ Broadway Musicals (RTFM Edition)
Week 2020/15 🚵 Tour de France via the {tdf} data package
Week 2020/14 🍺 Beer Production by TTB
Week 2020/12 🏢 The Office by IMDb via data.world
Week 2020/08 🍖 Foot Carbon Footprints by FAO via nu3
Week 2020/07 🛏️ Hotel Bookings by Antonio, Almeida & Nunes 2019
Week 2020/05 🌳 San Francisco Trees by data.sfgov.org
Week 2020/04 🎶 Spotify Songs by Spotify via {spotifyr}
Week 2020/03 🔑 Passwords by Knowledge Is Beautiful
Week 2020/02 🔥 Australian Fires by NASA FIRMS
Week 2020/01 ❄️️ White Christmas in Berlin by Deutscher Wetterdienst
Week 2019/38 🏞️ US National Park Visits by data.world
Week 2019/52 🎄 Christmas Songs by Billboard Top 100
Week 2019/51 🐩 Adoptable Dogs by Petfinder.com and ThePudding.com
Week 2019/50 🎤 Replicating Plots by Matt Daniels in R
Week 2018/33 🏥 Malaria by OurWorldInData.org
Week 2018/03 ⚱️ Global Mortality by OurWorldInData.org
Week 2019/44️ 🐿️ NYC Squirrels by Squirrel Census
Week 2019/42️ 🚘 Big Cars by EPA
Week 2019/40️ 🍕 Pizza Ratings by Jared Lander & Bartools Sports
Week 2019/39️ 🏫️ School Diversity by NCES
Week 2019/36️ 🖥️ Moore's Law by Wikipedia
Week 2019/35️ 💛 Simpsons Guest Stars by Wikipedia
Week 2019/34️ ☢️ Nuclear Explosions by SIPRI
Week 2019/33️ 🌿 Roman Emperors by Wikipedia
Week 2019/28️ ⚽ FIFA Women's World Cups by data.world
Week 2019/27️ 💰 Media Franchise Revenues by Wikipedia
Week 2019/25 🐦 Christmas Bird Counts by Bird Studies Canada
Week 2019/24 🌠 Meteorites by NASA
Week 2019/22 🍷️ Wine Ratings by Vivino
Week 2019/21️ 🚮 Global Plastic Waste by OurWorldInData.org
Week 2019/20 🎖️ Nobel Prize Winners by Harvard Dataverse
Week 2019/19️ 👨🏫 Global Student to Teachers Ratios by UNESCO's "eAtlas of Teachers"
Week 2019/18️ 🐥 Chicago Bird Collisions by Winger et al. 2019
Week 2019/16️ 📊 Data Viz Mistakes by The Economist
Week 2019/14️ 🚴 Seattle Bike Traffic by seattle.gov
Week 2019/17 🐉 Anime Data by MyAnimeList.net
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