z3tt/tidytuesday

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

 #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.

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
• Challenges 2022
  • 2022/12 👶 Baby Names
  • 2022/36 🟥 LEGO Database

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2022/36 🟥 LEGO Database by rebrickable

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2022/12 👶 Baby Names by SSA

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2021/27 👩‍🚒 Animal Rescues by london.gov

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2021/25 ✊🏾 #DuBoisChallenge Tweets by Anthony Starks, Allen Hillery & Sekou Tyler

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2021/22 🍄 Mario Kart 64 World Records by mkwrs.com

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2021/19 ‍🚰 Water Access Points by WPDx

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2021/09 👨‍💼👩‍💼 Employments and Earnings by BLS

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2021/02 🚇 Transit-Infrastructure Costs by Transit Costs Project

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2021/01 📈 Usage of geom & stat Functions by me

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2020/52 🍔️ Big Mac Index by The Economist

Animated Version

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2020/51 🏋️ Ninja Warrior by Data.World

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2020/48 🥾 Washington Trails by WAT

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2020/46 📱 Historical Phones by OurWorldInData.org

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2020/43 🍻 Great American Beer Festival by GABF

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2020/44 🌬️ Canadian Wind Turbines by Government of Canada

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2020/42 🦖 The Datasaurus Dozen by Alberto Cairo

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2020/36 🌾 Global Crop Yields by Our World in Data

🔗 Have a look at the Shiny App in Action!

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2020/41 🏀 NCAA Women's Basketball by FiveThirtyEight

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2020/38 💊 Children Public Health Efforts by Urban Institute

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2020/37 👯 FRIENDS Transcripts by Emil Hvitfeldt

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2020/34 🌱 Extinct Plants by IUCN Red List

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

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2020/32 ⚡ European Energy by Eurostat

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

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2020/30 😿 Australian Animal Outcomes by RSPCA

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2020/29 👨‍🚀 Astronaut Database by Stavnichuk & Corlett (2020)

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2020/28 ☕️ Coffee Ratings by Coffee Quality Institute

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2020/27 🦸️ Uncanny X-Men by Claremont Run Project

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2020/26 🦌️ Caribou Locations by Movebank

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

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

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

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Week 2020/21 🏐 Beach Volleyball by BigTimeStats

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Week 2020/20 🌋 Volcano Eruptions by Smithsonian

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Week 2020/19 🐻 Animal Crossing by Metacritic

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

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

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Week 2020/15 🚵 Tour de France via the {tdf} data package

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Week 2020/14 🍺 Beer Production by TTB

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Week 2020/12 🏢 The Office by IMDb via data.world

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Week 2020/08 🍖 Foot Carbon Footprints by FAO via nu3

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Week 2020/07 🛏️ Hotel Bookings by Antonio, Almeida & Nunes 2019

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Week 2020/05 🌳 San Francisco Trees by data.sfgov.org

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Week 2020/04 🎶 Spotify Songs by Spotify via {spotifyr}

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Week 2020/03 🔑 Passwords by Knowledge Is Beautiful

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Week 2020/02 🔥 Australian Fires by NASA FIRMS

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Week 2020/01 ❄️️ White Christmas in Berlin by Deutscher Wetterdienst

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Week 2019/38 🏞️ US National Park Visits by data.world

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Week 2019/52 🎄 Christmas Songs by Billboard Top 100

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Week 2019/51 🐩 Adoptable Dogs by Petfinder.com and ThePudding.com

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Week 2019/50 🎤 Replicating Plots by Matt Daniels in R

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Week 2018/33 🏥 Malaria by OurWorldInData.org

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Week 2018/03 ⚱️ Global Mortality by OurWorldInData.org

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Week 2019/44️ 🐿️ NYC Squirrels by Squirrel Census

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Week 2019/42️ 🚘 Big Cars by EPA

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Week 2019/40️ 🍕 Pizza Ratings by Jared Lander & Bartools Sports

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Week 2019/39️ 🏫️ School Diversity by NCES

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Week 2019/36️ 🖥️ Moore's Law by Wikipedia

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Week 2019/35️ 💛 Simpsons Guest Stars by Wikipedia

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Week 2019/34️ ☢️ Nuclear Explosions by SIPRI

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Week 2019/33️ 🌿 Roman Emperors by Wikipedia

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Week 2019/28️ ⚽ FIFA Women's World Cups by data.world

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Week 2019/27️ 💰 Media Franchise Revenues by Wikipedia

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Week 2019/25 🐦 Christmas Bird Counts by Bird Studies Canada

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Week 2019/24 🌠 Meteorites by NASA

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Week 2019/22 🍷️ Wine Ratings by Vivino

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Week 2019/21️ 🚮 Global Plastic Waste by OurWorldInData.org

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Week 2019/20 🎖️ Nobel Prize Winners by Harvard Dataverse

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Week 2019/19️ 👨‍🏫 Global Student to Teachers Ratios by UNESCO's "eAtlas of Teachers"

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Week 2019/18️ 🐥 Chicago Bird Collisions by Winger et al. 2019

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Week 2019/16️ 📊 Data Viz Mistakes by The Economist

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Week 2019/14️ 🚴 Seattle Bike Traffic by seattle.gov

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Week 2019/17 🐉 Anime Data by MyAnimeList.net

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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

tidytuesday's Issues

Can not replicate 2019-20 figure

As I tried later codes, I find some problems listed beforehand are addressed (such as those we discussed in #4). However, new ones are coming occationally. For instance, for the example in 2019-20, I get (using same code listed in rmarkdown):

The fonts are not in the tiles, which is annoying. Any way to solve this problem?
Thanks.

Can not reproduce 2018-03 due to figure overlaps

Hello there, thank you for the awesome work to reach so many wonderful figures via ggplot2. I have an issue when reproducing the 2018-03 figure, producing the following figure:

I assume there are two problem occuring here: 1. the 3rd and 6th plot is covering the 2nd and 5th one; 2. fonts could not be loaded automatilcally. Furthermore, because the update of the packages, I find warnings listed as:

old-style crs object detected; please recreate object with a recent sf::st_crs()
Warning messages:
1: It is deprecated to specify `guide = FALSE` to remove a guide. Please use `guide = "none"` instead. 

Is there any way to figure them out? Thanks.

Using Your Work to Learn From

I an using your code to learn how you produced such beautiful output. I am running into an issue. I hope you'll find time to teach me how to overcome this.

When you build your theme, you use plot.margin = margin(30, 60, 30, 60) That errors on me. I think you need to use plot.margin = unit(c(30, 60, 30, 60), "mm") but I do not know what units (like I have "mm") to use to replicate your output. Do you have any ideas?

Really great work! Thank you for sharing.

Error in Astronauts Tidy Tuesday

Hi Cedric! I've been reproducing your code and I've faced with this error in the first summarize, with the sentence nationality = unique(nationality). The message is: "Error: Column nationality must be length 1 (a summary value), not 2".