Permalink
8d5b618 Dec 10, 2018
2 contributors

Users who have contributed to this file

@jthomasmock @xvrdm
107 lines (78 sloc) 16.2 KB

A weekly social data project in R

A weekly data project aimed at the R ecosystem. An emphasis will be placed on understanding how to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem.


Join the R4DS online learning community in the weekly #TidyTuesday event! Every week we post a raw dataset, an original chart associated with that dataset, and ask you to apply your take on the chart. While the data set will be “tamed”, it will not always be tidy! As such you might need to apply various R for Data Science techniques to wrangle the data into a true tidy format. The goal of Tidy Tuesday is to apply your R skills, get feedback, explore other’s work, and connect with the greater RStats community! As such we encourage everyone of all skills to participate!

We will have many sources of data and want to emphasize that no causation is implied. There are various moderating variables that affect all data, many of which might not have been captured in these datasets. As such, our guidelines are to use the data provided to practice your data tidying and plotting techniques. Participants are invited to consider for themselves what nuancing factors might underlie these relationships.

The intent of Tidy Tuesday is to provide a safe and supportive forum for individuals to practice their wrangling and data visualization skills independent of drawing conclusions. While we understand that the two are related, the focus of this practice is purely on building skills with real-world data.

All data will be posted on the data sets page on Monday. It will include the link to the original article (for context) and to the data set.

We welcome all newcomers, enthusiasts, and experts to participate, but be mindful of a few things:

  1. The data set comes from the source article or the source that the article credits. Be mindful that the data is what it is and Tidy Tuesday is designed to help you practice data visualization and basic data wrangling in R.
  2. Again, the data is what it is! You are welcome to explore beyond the provided dataset, but the data is provided as a "toy" dataset to practice techniques on.
  3. This is NOT about criticizing the original article or graph. Real people made the graphs, collected or acquired the data! Focus on the provided dataset, learning, and improving your techniques in R.
  4. This is NOT about criticizing or tearing down your fellow #RStats practitioners! Be supportive and kind to each other! Like other's posts and help promote the #RStats community!
  5. Use the hashtag #TidyTuesday on Twitter if you create your own version and would like to share it.
  6. Include a picture of the visualisation when you post to Twitter.
  7. Include a copy of the code used to create your visualization when you post to Twitter. Comment your code wherever possible to help yourself and others understand your process!
  8. Focus on improving your craft, even if you end up with something simple!
  9. Give credit to the original data source whenever possible.

Submitting Datasets

Want to submit an interesting dataset? Please open an Issue and post a link to the article (or blogpost, etc) using the data, then we can discuss adding it to a future TidyTuesday Event!


DataSets

2018

Week Date Data Source Article
1 2018-04-02 US Tuition Costs onlinembapage.com onlinembapage.com
2 2018-04-09 NFL Positional Salaries Spotrac.com fivethirtyeight.com
3 2018-04-16 Global Mortality ourworldindata.org ourworldindata.org
4 2018-04-23 Australian Salaries by Gender data.gov.au data.gov.au
5 2018-04-30 ACS Census Data (2015) census.gov , Kaggle No article
6 2018-05-07 Global Coffee Chains Starbucks: kaggle.com , Tim Horton: timhortons.com , Dunkin Donuts: odditysoftware.com flowingdata.com
7 2018-05-14 Star Wars Survey fivethirtyeight package fivethirtyeight.com
8 2018-05-21 US Honey Production USDA, Kaggle.com Bee Culture
9 2018-05-29 Comic book characters FiveThirtyEight package FiveThirtyEight.com
10 2018-06-05 Biketown Bikeshare BiketownPDX Biketown cascadiaRconf/cRaggy
11 2018-06-12 FIFA World Cup Audience FiveThirtyEight package FiveThirtyEight.com
12 2018-06-19 Hurricanes & Puerto Rico FiveThirtyEight package FiveThirtyEight.com
13 2018-06-26 Alcohol Consumption FiveThirtyEight package FiveThirtyEight.com
14 2018-07-03 Global Life Expectancy ourworldindata.org ourworldindata.org
15 2018-07-10 Craft Beer USA data.world thrillist.com
16 2018-07-17 Exercise USA CDC CDC - National Health Statistics Reports
17 2018-07-23 p-hack-athon collaboration simplystatistics.org p-hack-athon
18 2018-07-31 Dallas Animal Shelter FY2017 Dallas OpenData Dallas OpenData FY2017 Summary
19 2018-08-07 Airline Safety FiveThirtyEight Package 538 - Airline Safety
20 2018-08-14 Russian Troll Tweets FiveThirtyEight.com 538 - Russian Troll Tweets
21 2018-08-21 California Fires BuzzFeed.com BuzzFeed News - California Fires, RMarkdown
22 2018-08-28 NFL Stats pro-football-reference.com eldo.co
23 2018-09-04 Fast Food Calories fastfoodnutrition.org franchiseopportunities.com
24 2018-09-11 Cats vs Dogs (USA) data.world Washington Post
25 2018-09-18 US Flights or Hypoxia faa.gov
Soaring Society of America
travelweekly.com
SSA - Hypoxia
26 2018-09-25 Global Invasive Species Paini et al, 2016
griis.org
Paini et al, 2016
griis.org
27 2018-10-02 US Births fivethirtyeight package 538 - Births
28 2018-10-09 US Voter Turnout data.world Star Tribune
29 2018-10-16 College Major & Income fivethirtyeight/ACS fivethirtyeight
30 2018-10-23 Horror Movie Profit the-numbers.com fivethirtyeight
31 2018-10-30 R and R package downloads cran-logs.rstudio.com No Article
32 2018-11-06 US Wind Farm locations usgs.gov Wind Market Reports
33 2018-11-13 Malaria Data ourworldindata.org
Malaria Data Challenge
ourworldindata.org malariaAtlas
34 2018-11-20 Thanksgiving Dinner or Transgender Day of Remembrance fivethirtyeight
TDoR
fivethirtyeight
TDoR
35 2018-11-27 Baltimore Bridges Federal Highway Administration Baltimore Sun
36 2018-12-04 Medium Article Metadata Kaggle.com TidyText package
37 2018-12-04 NYC Restaurant inspections NYC OpenData/NYC Health Department FiveThirtyEight

Useful links

The R4DS Online Learning Community

The R for Data Science textbook

Carbon lets you post beautiful code directly to Twitter!

Post to Carbon.now.sh from RStudio

Another carbon.now.sh from within RStudio

We will use the fivethirtyeight package frequently for “tame" data

GitHub lets you host raw code for free!

A guide to getting started with GitHub

How to save high quality ggplot2 images

Makeover Monday

Data Is Plural

BuzzFeed Data