#TidyTuesday Contributions 

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.

Feedback is very welcome via Twitter or mail.

2020/37 👯 F🔴R🟡I🔵E🔴N🟡D🔵S by Emil Hvitfeldt

2020/34 🌱 Extinct Plants by IUCN Red List

2020/33 ⚔️ Avatar: The Last Airbender by {appa}

2020/32 ⚡ European Energy by Eurostat

2020/31 🐧 Palmer Penguins by Gorman, Williams and Fraser (2014)

2020/30 😿 Australian Animal Outcomes by RSPCA

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

2020/26 🦌️ Caribou Locations by Movebank

2020/25 🕊️ American Slavery and Juneteenth by U.S. Census

2020/23 🔴 Marble Races by Jelle's Marble Runs

Week 2020/22 🍹 50 Most Popular Cocktails 2020 by Drinks International & Kaggle

Week 2020/21 🏐 Beach Volleyball by BigTimeStats

Week 2020/20 🌋 Volcano Eruptions by Smithsonian

Week 2020/19 🐻 Animal Crossing by Metacritic

Week 2020/18 🎭️ Broadway Musicals (RTFM Edition) by Playbill

Week 2020/16 🎙️ Best Hip-Hop Songs of All Time by BBC Music

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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