dplyr 0.8 has been released and comes with a surprise: group_walk(). This post demonstrates how to parse grouped data into several CSV and/or JSON files with only a few lines of tidy code and purrr(e) logic.
GIS with R is far beyond powerful. This is part 1 of a collection of up-to-date workflows for processing spatial data of all kinds with R. The collection involves sf, mapview, mapedit, osmdata, raster, stars, rnaturalearth and other packages combined with straight-forward recipes.
Demo Site. Just testing the embedding of HTML widgets (Leaflet, Xarigan Slides, DT::datatable(), Shiny App) in R Blogdown posts.
This is the sceond part of my "Internet Research Agency" series. We'll encounter in-memory computing problems, address them with tweaks on Windows and Linux, and finally succeed at building a 5.7M x 1.5M big sparse Document-Feature Matrix.
A bit over a week ago, Twitter's new-ish Elections integrity team released two datasets with 'all the accounts and related content associated with potential information operations that we have found on our service since 2016.' We're talking about millions of Tweets in dozens of languages stored in a single 5.3 GB CSV file. Tidyverse to the rescue!