In this post we show how to create highly aesthetic bivariate choropleth maps, including annotations and a custom legend –exclusively in R.
All posts tagged “R”
(Big) Data Journalism with Spark and R
At Swiss Public TV and Radio (SRF) we recently published an investigation of the “Collection #1-5” password leaks. In this post, I show how I searched through 900GB+ of data with Spark and R.
Categorical spatial interpolation with R
How I used the kknn and ggplot2 packages together with some parallel computation to spatially interpolate several hundred thousand points.
This is what happens when you use different package versions, Larry!
Recently I made a point for “true” RMarkdown reproducibility via checkpointed package versions. Shortly thereafter I learned the hard way how crucial it is to use exactly the same R packages that were used when the script was initially written.
A (truly) reproducible R workflow
Since more than two years I have been preaching reproducibility and transparency in data journalism. My tool of choice: R and reproducible reports with RMarkdown.
But these reports aren’t really reproducible. A solution.
Beautiful thematic maps with ggplot2 (only)
In this blog post, I explain step by step how I (eventually) achieved a nice thematic map with pure ggplot2 – from a very basic, useless, ugly, default map to the publication-ready and (in my opinion) highly aesthetic choropleth.
Why data journalists should start using R in 2016
For me, 2015 was the year of R. The year I finally started to use R productively and on an almost daily basis (after years of learning and forgetting and learning all over again). In this post, I share my experiences and tell you why you should start using it for your next data journalism project in 2016.