This is a curated list of online resources for learning R in the context of data journalism. The live version is available under rddj.info.

There are two ways you can contribute:

Saw a good article on using R for some data journalism? You can either send me the link and some description to timo(at)timogrossenbacher.ch, OR fork this project. All you need to do is to edit content/content.json and send me a pull request. Attention: Please consider the already existing structure of the JSON file, e.g.:

• Reuse existing chapter names in the chapter key (you can of course also open up a new chapter if nothing existing suits you).
• For level only use Beginner, Intermediate and Advanced.
• For time use something like x - y [minutes, hours] or x [minute(s), hour(s)], although it is better to specify a range.
• For type also reuse something already existing if possible.

Thank you!

In this case, you need to install all the dependencies and have npm, bower and grunt-cli installed. Then cd in the local clone of your fork, and

npm install
bower install

Then, in order to run a test server with live preview,

grunt serve

Send me a pull request if you've made changes! I'll integrate them if it makes sense and build myself.

• Add filter options.