.Rddj Hand-curated, high quality resources for doing data journalism with R by Timo Grossenbacher.
From the webpage:
The R Project is a great software environment for doing all sorts of data-driven journalism. It can be used for any of the stages of a typical data project: data collection, cleaning, analysis and even (interactive) visualization. And it’s all reproducible and transparent! Sure, it requires a fair amount of scripting, yet…
Do not fear! With this hand-curated (and opinionated) list of resources, you will be guided through the thick jungle of countless R packages, from learning the basics of R’s syntax, to scraping HTML tables, to a guide on how to make your work comprehensible and reproducible.
Now, enjoy your journey.
Some more efforts at persuasion: As I work in the media, I know how a lot of journalists are turned off by everything that doesn’t have a graphical interface with buttons to click on. However, you don’t need to spend days studying programming concepts in order to get started with R, as most operations can be carried out without applying scary things such as loops or conditionals – and, nowadays, high-level abstrations like
dplyrmake working with data a breeze. My advice if you’re new to data journalism or data processing in general: Better learn R than Excel, ’cause getting to know Excel (and the countless other tools that each do a single thing) doesn’t come for free, either.This list is (partially) inspired by R for Journalists by Ed Borasky, which is another great resource for getting to know R.
… (emphasis in original)
The topics are familiar:
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RStudio Syntax and basic R programming Collecting Data (from the Web) Data cleaning and manipulation Text mining / natural language processing Exploratory data analysis and plotting Interactive data visualization Publication-quality graphics Reproducibility Examples of using R in (data) journalism …
What makes this list of resources different from search results?
Hand curation.
How much of a difference?
Compare the search results of “R” + any of these categories to the resources here.
Bookmark .Rddj for data journalism and R, then ping me with the hand curated list of resources you are creating.
Save yourself and the rest of us from search. Thanks!