.Rddj
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.
Contribute
There are two ways you can contribute:
Contribute content
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). - For
levelonly useBeginner,IntermediateandAdvanced. - For
timeuse something likex - y [minutes, hours]orx [minute(s), hour(s)], although it is better to specify a range. - For
typealso reuse something already existing if possible.
Thank you!
Contribute to the website in general
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.
Roadmap
- 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
npm scripts. - 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.
Link checks
All links work as of:
- October 29th, 2016
SSL
Site uses SSL as suggested by https://sheharyar.me/blog/free-ssl-for-github-pages-with-custom-domains/