My contributions to the #TidyTuesday challenge, a weekly social data project that focusses on understanding how to summarize and arrange data to make meaningful and/or beautiful 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.
DISCLAIMER:
❌ no Illustrator or Photoshop was harmed during the making of these visualizations.
💯 certified ggplot quality.
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)
- 2020/19 🐻 Animal Crossing
- 2020/20 🌋 Volcano Eruptions
- 2020/21 🏐 Beach Volleyball
- 2020/22 🍹 50 Most Popular Cocktails 2020
- 2020/23 🔴 Marble Races
- 2020/25 🕊️ American Slavery and Juneteenth
- 2020/26 🦌️ Northern Caribou Movement
- 2020/27 🦸 Uncanny X-Men
- 2020/28 ☕️ Coffee Ratings
- 2020/29 👨🚀 Astronaut Database
- 2020/30 😿 Australian Animal Outcomes
- 2020/31 🐧 Palmer Penguins
- 2020/32 ⚡ European Energy
- 2020/33 ⚔️ Avatar: The Last Airbender
- 2020/34 🌱 Extinct Plants
- 2020/36 🌾 Global Crop Yields (Shiny App)
- 2020/37 👯 FRIENDS Transcripts
- 2020/38 💊 Children Public Health Efforts
- 2020/41 🏀 NCAA Women's Basketball
- 2020/42 🦖 The Datasaurus Dozen
- 2020/43 🍻 Great American Beer Festival
- 2020/44 🌬️ Canadian Wind Turbines
- 2020/46 📱 Historical Phones
- 2020/48 🥾 Washington Trails
- 2020/51 🏋️ Ninja Warrior
- 2020/52 🍔️ Big Mac Index
- Challenges 2021
- 2021/01 📈 Bring Your Own Data: My
geom
+stat
Usage - 2021/02 🚇 Transit-Infrastructure Costs
- 2021/09 👩 U.S. Employment
- 2021/19 🚰 Water Access Points
- 2021/22 🍄 Mario Kart 64 World Records
- 2021/25 ✊🏾 #DuBoisChallenge Tweets
- 2021/27 👩🚒 Animal Rescues
- 2021/01 📈 Bring Your Own Data: My
- Challenges 2022
- 2022/12 👶 Baby Names
- 2022/36 🟥 LEGO Database
2022/36 🟥 LEGO Database by rebrickable
2021/27 👩🚒 Animal Rescues by london.gov
2021/25 ✊🏾 #DuBoisChallenge Tweets by Anthony Starks, Allen Hillery & Sekou Tyler
2021/02 🚇 Transit-Infrastructure Costs by Transit Costs Project
2020/52 🍔️ Big Mac Index by The Economist
2020/51 🏋️ Ninja Warrior by Data.World
2020/46 📱 Historical Phones by OurWorldInData.org
2020/44 🌬️ Canadian Wind Turbines by Government of Canada
2020/42 🦖 The Datasaurus Dozen by Alberto Cairo
2020/36 🌾 Global Crop Yields by Our World in Data
🔗 Have a look at the Shiny App in Action!