anttirask / edition2024

Collection of contributions to and resources for the fourth #30DayChartChallenge in April 2024.

How to contribute?

Anyone is welcome to contribute, no matter which data source or tool you use.
If you share your contributions on X or bsky, please use the hashtag #30DayChartChallenge and/or tag the @30DayChartCall account.

Topics

→ List of Topics

Data days:

• Day 6. OECD
• Day 18. Asian Development Bank
• Day 24. ILO Africa

Contributions

Collection of all contributions per day (shared on Twitter with the hashtag and/or mentioning @30DayChartChall account). For now just named images in a folder---hopefully going to clean it up once the challenge is over.

Further links:

• Dedicated list of #Rstats contributions to the 2021 edition
• #30DayChartChallenge on X
• #30DayChartChallenge on bsky

Resources

Tools

We do not care what tool you use. Whatever works for you is fine! Programing, designing, crafting --- pick what you prefer or try different things. An extensive list of tools can be found at Visualising Data.

Data

You are free to pick whatever data you want---we do not provide any particular dataset for each challenge. Either use the same dataset for all or different datasets each day, as you like! Search the internet, collect your own, visualize daily experiences or funny stats. Nevertheless, we would like to provide a starter kit of possible data sources:

• Google dataset search
• data.world
• kaggle
• Data Is Plural
• OurWorldInData
• Eurostats
• UN Stats
• WHO
• OECD Stats
• Socioeconomic Data and Applications Center (NASA)
• MakeoverMonday
• TidyTuesday (search through old datasets here, here and here)
• IMDB datasets
• Free GIS data
• WorldClim --- maps, graphs, tables, and data of the global climate
• Rdatasets --- over 1300 datasets originally distributed in R packages
• List of R packages to import data

Chart Type Selection

There are many great selection helpers out there, guiding you through the many different boxes you can fit the endless number of (sub)chart types in. Here is a non-exhaustive list:

• Chart Suggestions---A Thought-Starter by Andrew Abela --- an all-time classic (latest version)
• Graphic Continuum by Jon Schwabish and Severino Ribecca --- the main source for the five categories
• Visual Vocabulary by the Financial Times Visual Journalism --- chart choice helpers with lots of further links
  • interactive version
  • static version
• From Data to Viz by Yan Holtz --- interactive, with information and codes for each chart type
  • R code collection
  • Python code collection
  • D3js code collection
• DataVizProject by ferdio --- interactive with lots of examples
• Visualization Universe by Adioma and Google News Lab
• How to Choose the Right Chart Type --- another, very compact, decision tree to help you