# TidyTuesday
**Repository Path**: tidyfriday/TidyTuesday
## Basic Information
- **Project Name**: TidyTuesday
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 1
- **Created**: 2021-02-23
- **Last Updated**: 2021-04-16
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
#TidyTuesday Contributions
:link: [Blog][Blog] | :e-mail: [Email][Email] | :speech_balloon: [Twitter][Twitter] | :art: [Behance][Behance] | :necktie: [LinkedIn][LinkedIn]
[Twitter]:https://twitter.com/CedScherer
[LinkedIn]:https://www.linkedin.com/in/cedricpscherer/
[Email]:mailto:info@data-vizard.com
[Blog]:https://cedricscherer.netlify.com/
[Portfolio]:https://data-vizard.com/
[Behance]:https://www.behance.net/cedscherer
My contributions to the [#TidyTuesday challenge](https://github.com/rfordatascience/tidytuesday), 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}`](https://www.tidyverse.org/) ecosystem. The project was founded in 2018 by [Thomas Mock](https://thomasmock.netlify.com/) and organized by the [R4DS ("`R` for Data Science") online learning community](https://twitter.com/r4dscommunity). 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](https://twitter.com/cedscherer) or [mail](mailto:cedricphilippscherer@gmail.com).
Contributions in chronological order (click to expand)
* **Challenges 2018**
- 2018/03 [⚱️ Global Mortality](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2018_03)
- 2018/33 [🏥 Malaria](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2018_33)
* **Challenges 2019**
- 2019/14 [🚴 Seattle Bike Traffic](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_14)️
- 2019/16 [📊 The Economists' Data Viz Mistakes](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_16)️
- 2019/17 [🐉 Anime Data](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_17️)
- 2019/18 [🐥 Chicago Bird Collisions](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_18)️
- 2019/19 [👨🏫 Global Student to Teachers Ratios](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_19)️
- 2019/20 [🎖️ Nobel Prize Winners](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_20️)
- 2019/21 [🚮 Global Plastic Waste](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_21)️
- 2019/22 [🍷️ Wine Ratings](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_22️)
- 2019/24 [🌠 Meteorites](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_24️)
- 2019/25 [🐦 Christmas Bird Counts](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_25️)
- 2019/27 [💰 Media Franchise Revenues](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_27)️
- 2019/28 [⚽ FIFA Women's World Cup](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_28)️
- 2019/33 [🌿 Roman Emperors](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_33)️
- 2019/34 [☢️ Nuclear Explosions](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_34)️
- 2019/35 [💛 Simpsons Guest Stars](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_35)️
- 2019/36 [🖥️ Moore's Law](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_36)️
- 2019/38 [🏞️ US National Park Visits](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_38)
- 2019/39 [🏫️ US School Diversity](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_39)️
- 2019/40 [🍕 NYC Pizza Ratings](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_40)️
- 2019/42 [🚘 Big Cars](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_42)️
- 2019/44 [🐿️ NYC Squirrels](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_44)️
- 2019/50 [🎤 Replicating Plots (Rap Edition)](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_50)
- 2019/51 [🐩 Adoptable Dogs](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_51)
- 2019/52 [🎄 Christmas Songs](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_52)
* **Challenges 2020**
- 2020/01 [❄️️ Bring Your Own Data: White Christmas in Berlin](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_01)
- 2020/02 [🔥 Australian Fires](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_02)
- 2020/03 [🔑 Passwords](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_03)
- 2020/04 [🎶 Spotify Songs: The Golden Age of Hip Hop](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_04)
- 2020/05 [🌳 San Francisco Trees](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_05)
- 2020/07 [🛏️ Hotel Bookings](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_07)
- 2020/08 [🍖 Foot Carbon Footprint](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_08)
- 2020/12 [🏢 The Office on IMDb](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_12)
- 2020/14 [🍺 Beer Production](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_14)
- 2020/15 [🚵 Tour de France History](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_15)
- 2020/16 [🎙️ Best Hip-Hop Songs of All Time](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_16)
- 2020/18 [🎭️ Broadway Musicals (RTFM Edition)](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_18)
- 2020/19 [🐻 Animal Crossing](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_19)
- 2020/20 [🌋 Volcano Eruptions](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_20)
- 2020/21 [🏐 Beach Volleyball](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_21)
- 2020/22 [🍹 50 Most Popular Cocktails 2020](https://github.com/Z3tt/TidyTuesdaytree//master/plots/2020_22)
- 2020/23 [🔴 Marble Races](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_23)
- 2020/25 [🕊️ American Slavery and Juneteenth](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_25)
- 2020/26 [🦌️ Northern Caribou Movement](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_26)
- 2020/27 [🦸 Uncanny X-Men](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_27)
- 2020/28 [☕️ Coffee Ratings](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_28)
- 2020/29 [👨🚀 Astronaut Database](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_29)
- 2020/30 [😿 Australian Animal Outcomes](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_30)
- 2020/31 [🐧 Palmer Penguins](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_31)
- 2020/32 [⚡ European Energy](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_32)
- 2020/33 [⚔️ Avatar: The Last Airbender](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_33)
- 2020/34 [🌱 Extinct Plants](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_34)
- 2020/36 [🌾 Global Crop Yields (Shiny App)](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_36)
- 2020/37 [👯 FRIENDS Transcripts](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_37)
- 2020/38 [💊 Children Public Health Efforts](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_38)
- 2020/41 [🏀 NCAA Women's Basketball](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_41)
- 2020/42 [🦖 The Datasaurus Dozen](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_42)
- 2020/43 [🍻 Great American Beer Festival](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_43)
- 2020/44 [🌬️ Canadian Wind Turbines](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_44)
- 2020/46 [📱 Historical Phones](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_46)
- 2020/48 [🥾 Washington Trails](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_48)
- 2020/51 [🏋️ Ninja Warrior](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_51)
- 2020/52 [🍔️ Big Mac Index](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_52)
- 2021/02 [🚇 Transit-Infrastructure Costs](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2021_02)
***
### [2021/02](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2021_02) 🚇 Transit-Infrastructure Costs by [Transit Costs Project](https://transitcosts.com/)

***
### [2020/52](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_52) 🍔️ Big Mac Index by [The Economist](https://github.com/TheEconomist/big-mac-data)

[Animated Version](https://raw.githubusercontent.com/Z3tt/TidyTuesday/master/plots/2020_52/2020_52_BigMacIndex.gif)
***
### [2020/51](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_51) 🏋️ Ninja Warrior by [Data.World](https://data.world/ninja/anw-obstacle-history)

***
### [2020/48](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_48) 🥾 Washington Trails by [WAT](https://www.wta.org/go-outside/hikes?b_start:int=1)

***
### [2020/46](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_46) 📱 Historical Phones by [OurWorldInData.org](https://ourworldindata.org/technology-adoption#technology-leapfrogging)

***
### [2020/43](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_43) 🍻 Great American Beer Festival by [GABF](https://www.greatamericanbeerfestival.com/the-competition/winners/)

***
### [2020/44](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_44) 🌬️ Canadian Wind Turbines by [Government of Canada](https://open.canada.ca/data/en/dataset/79fdad93-9025-49ad-ba16-c26d718cc070)

***
### [2020/42](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_42) 🦖 The Datasaurus Dozen by [Alberto Cairo](http://www.thefunctionalart.com/2016/08/download-datasaurus-never-trust-summary.html)

***
### [2020/36](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_36) 🌾 Global Crop Yields by [Our World in Data](https://ourworldindata.org/crop-yields)
🔗 Have a look at the [Shiny App in Action!]( https://cedric-scherer.shinyapps.io/TidyTuesday_2020_36_Crop_Yields/)

***
### [2020/41](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_41) 🏀 NCAA Women's Basketball by [FiveThirtyEight](https://fivethirtyeight.com/features/louisiana-tech-was-the-uconn-of-the-80s/)

***
### [2020/38](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_38) 💊 Children Public Health Efforts by [Urban Institute](https://datacatalog.urban.org/dataset/state-state-spending-kids-dataset)

***
### [2020/37](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_37) 👯 FRIENDS Transcripts by [Emil Hvitfeldt](https://github.com/EmilHvitfeldt/friends)

***
### [2020/34](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_34) 🌱 Extinct Plants by [IUCN Red List](https://www.iucnredlist.org/)


***
### [2020/33](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_33) ⚔️ Avatar: The Last Airbender by [{appa}](https://github.com/averyrobbins1/appa)

***
### [2020/32](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_32) ⚡ European Energy by [Eurostat](https://ec.europa.eu/eurostat/statistics-explained/index.php/Electricity_generation_statistics_%E2%80%93_first_results)

***
### [2020/31](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_31) 🐧 Palmer Penguins by [Gorman, Williams and Fraser (2014)](https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-pal.219.5)

***
### [2020/30](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_30) 😿 Australian Animal Outcomes by [RSPCA](https://www.rspca.org.au/sites/default/files/RSPCA%20Report%20on%20animal%20outcomes%202018-2019.pdf)

***
### [2020/29](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_29) 👨🚀 Astronaut Database by [Stavnichuk & Corlett (2020)](https://doi.org/10.17632/86tsnnbv2w.1)

***
### [2020/28](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_28) ☕️ Coffee Ratings by [Coffee Quality Institute](https://github.com/jldbc/coffee-quality-database)

***
### [2020/27](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_27) 🦸️ Uncanny X-Men by [Claremont Run Project](http://www.claremontrun.com/)

***
### [2020/26](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_26) 🦌️ Caribou Locations by [Movebank](https://www.movebank.org/cms/movebank-content/about-movebank)

***
### [2020/25](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_25) 🕊️ American Slavery and Juneteenth by [U.S. Census](https://www.census.gov/content/dam/Census/library/working-papers/2002/demo/POP-twps0056.pdf)

***
### [2020/23](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_23) 🔴 Marble Races by [Jelle's Marble Runs](https://www.youtube.com/channel/UCYJdpnjuSWVOLgGT9fIzL0g)

***
### [Week 2020/22](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_22) 🍹 50 Most Popular Cocktails 2020 by [Drinks International](https://drinksint.com/news/fullstory.php/aid/8648/The_World_92s_Best-Selling_Classic_Cocktails_2020.html) & [Kaggle](https://bigtimestats.blog/data/)

***
### [Week 2020/21](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_21) 🏐 Beach Volleyball by [BigTimeStats](https://bigtimestats.blog/data/)

***
### [Week 2020/20](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_20) 🌋 Volcano Eruptions by [Smithsonian](https://www.himalayandatabase.com/)

***
### [Week 2020/19](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_19) 🐻 Animal Crossing by [Metacritic](https://www.metacritic.com/game/switch/animal-crossing-new-horizons/critic-reviews)


***
### [Week 2020/18](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_18) 🎭️ Broadway Musicals (RTFM Edition) by [Playbill](https://www.playbill.com/grosses)

***
### [Week 2020/16](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_16) 🎙️ Best Hip-Hop Songs of All Time by [BBC Music](http://www.bbc.com/culture/story/20191007-the-greatest-hip-hop-songs-of-all-time-who-voted)

***
### [Week 2020/15](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_15) 🚵 Tour de France via the [{tdf} data package](https://github.com/alastairrushworth/tdf)

***
### [Week 2020/14](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_14) 🍺 Beer Production by [TTB](https://www.ttb.gov/beer/statistics)

***
### [Week 2020/12](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_12) 🏢 The Office by [IMDb via data.world](https://data.world/anujjain7/the-office-imdb-ratings-dataset)

***
### [Week 2020/08](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_08) 🍖 Foot Carbon Footprints by [FAO via nu3](https://www.nu3.de/blogs/nutrition/food-carbon-footprint-index-2018)

***
### [Week 2020/07](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_07) 🛏️ Hotel Bookings by [Antonio, Almeida & Nunes 2019](https://www.sciencedirect.com/science/article/pii/S2352340918315191#bib5)

***
### [Week 2020/05](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_05) 🌳 San Francisco Trees by [data.sfgov.org](https://data.sfgov.org/City-Infrastructure/Street-Tree-List/tkzw-k3nq)

***
### [Week 2020/04](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_04) 🎶 Spotify Songs by [Spotify via {spotifyr}](https://www.rcharlie.com/spotifyr/)

***
### [Week 2020/03](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_03) 🔑 Passwords by [Knowledge Is Beautiful](https://docs.google.com/spreadsheets/d/1cz7TDhm0ebVpySqbTvrHrD3WpxeyE4hLZtifWSnoNTQ/edit#gid=21)

***
### [Week 2020/02](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_02) 🔥 Australian Fires by [NASA FIRMS](https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms)

***
### [Week 2020/01](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2020_01) ❄️️ White Christmas in Berlin by [Deutscher Wetterdienst](https://www.dwd.de/DE/leistungen/klimadatendeutschland/klarchivtagmonat.html)

***
### [Week 2019/38](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_38) 🏞️ US National Park Visits by [data.world](https://data.world/inform8n/us-national-parks-visitation-1904-2016-with-boundaries)

***
### [Week 2019/52](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_52) 🎄 Christmas Songs by [Billboard Top 100](https://www.kaggle.com/sharkbait1223/billboard-top-100-christmas-carol-dataset)

***
### [Week 2019/51](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_51) 🐩 Adoptable Dogs by [Petfinder.com and ThePudding.com](https://github.com/the-pudding/data/blob/master/dog-shelters/README.md)

***
### [Week 2019/50](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_50) 🎤 [Replicating Plots](https://simplystatistics.org/2019/08/28/you-can-replicate-almost-any-plot-with-ggplot2/) by [Matt Daniels](https://pudding.cool/projects/vocabulary/) in R


***
### [Week 2018/33](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2018_33) 🏥 Malaria by [OurWorldInData.org](ourworldindata.org)

***
### [Week 2018/03](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2018_03) ⚱️ Global Mortality by [OurWorldInData.org](https://ourworldindata.org/what-does-the-world-die-from)

***
### [Week 2019/44](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_44)️ 🐿️ NYC Squirrels by [Squirrel Census](https://data.cityofnewyork.us/Environment/2018-Central-Park-Squirrel-Census-Squirrel-Data/vfnx-vebw)

***
### [Week 2019/42](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_42)️ 🚘 Big Cars by [EPA](https://www.fueleconomy.gov/feg/download.shtml)

***
### [Week 2019/40](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_40)️ 🍕 Pizza Ratings by [Jared Lander](https://twitter.com/jaredlander/status/1178122846419193858?s=20) & [Bartools Sports](https://github.com/tylerjrichards/Barstool_Pizza)

***
### [Week 2019/39](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_39)️ 🏫️ School Diversity by [NCES](https://nces.ed.gov/ccd/pubschuniv.asp)

***
### [Week 2019/36](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_36)️ 🖥️ Moore's Law by [Wikipedia](https://en.wikipedia.org/wiki/Transistor_count)

***
### [Week 2019/35](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_35)️ 💛 Simpsons Guest Stars by [Wikipedia](https://en.wikipedia.org/wiki/List_of_The_Simpsons_guest_stars)

***
### [Week 2019/34](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_34)️ ☢️ Nuclear Explosions by [SIPRI](https://github.com/data-is-plural/nuclear-explosions/blob/master/documents/sipri-report-original.pdf)

***
### [Week 2019/33](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_33)️ 🌿 Roman Emperors by [Wikipedia](https://en.wikipedia.org/wiki/List_of_Roman_emperors)

***
### [Week 2019/28](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_28)️ ⚽ FIFA Women's World Cups by [data.world](https://data.world/sportsvizsunday/womens-world-cup-data)


***
### [Week 2019/27](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_27)️ 💰 Media Franchise Revenues by [Wikipedia](https://en.wikipedia.org/wiki/List_of_highest-grossing_media_franchises)

***
### [Week 2019/25](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_25️) 🐦 Christmas Bird Counts by [Bird Studies Canada](https://www.birdscanada.org/index.jsp)

***
### [Week 2019/24](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_24) 🌠 Meteorites by [NASA](https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh/data)

***
### [Week 2019/22](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_22️) 🍷️ Wine Ratings by [Vivino](https://www.kaggle.com/zynicide/wine-reviews)

***
### [Week 2019/21](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_21)️ 🚮 Global Plastic Waste by [OurWorldInData.org](https://ourworldindata.org/plastic-pollution)

***
### [Week 2019/20](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_20️) 🎖️ Nobel Prize Winners by [Harvard Dataverse](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/6NJ5RN)

***
### [Week 2019/19](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_19)️ 👨🏫 Global Student to Teachers Ratios by [UNESCO's "eAtlas of Teachers"](http://data.uis.unesco.org/index.aspx?queryid=180)

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### [Week 2019/18](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_18)️ 🐥 Chicago Bird Collisions by [Winger et al. 2019](https://doi.org/10.1098/rspb.2019.0364)

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### [Week 2019/16](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_16)️ 📊 Data Viz Mistakes by [The Economist](https://medium.economist.com/mistakes-weve-drawn-a-few-8cdd8a42d368)

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### [Week 2019/14](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_14)️ 🚴 Seattle Bike Traffic by [seattle.gov](https://www.seattletimes.com/seattle-news/transportation/what-we-can-learn-from-seattles-bike-counter-data/)

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### [Week 2019/17](https://github.com/Z3tt/TidyTuesday/tree/master/plots/2019_17️) 🐉 Anime Data by [MyAnimeList.net](https://myanimelist.net/)

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