Resources for doing data journalism with R.
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
chapterkey (you can of course also open up a new chapter if nothing existing suits you).
timeuse something like
x - y [minutes, hours]or
x [minute(s), hour(s)], although it is better to specify a range.
typealso reuse something already existing if possible.
Contribute to the website in general
In this case, you need to install all the dependencies and have
cd in the local clone of your fork, and
npm install bower install
Then, in order to run a test server with live preview,
Send me a pull request if you've made changes! I'll integrate them if it makes sense and build myself.
- Add filter options.
- Add date to links in order to sort them by age.
- Get rid of Bower.
- Get rid of Grunt.
- Use Markdown instead of JSON
- Use webpack or
- Remove D3 dependecy, or only load base system, if possible (D3 modules with v4).
- Add date/time field for links (so that, somewhen in the future, old/deprecated links can be removed or deactivated).
- Add RSS feed.
All links work as of:
- October 29th, 2016
Site uses SSL as suggested by https://sheharyar.me/blog/free-ssl-for-github-pages-with-custom-domains/