Sean Angiolillo

You may be familiar with principles for good data visualization when it comes to ordinary bar plots, scatterplots, and line plots. However, geospatial data visualization has its own set of principles for effective and honest communication. The answer to what is the “best” style of geospatial data visualization often depends on the type of data

At the 14 July R User Meetup, hosted at Atlan, I had the pleasure of briefly introducing the relatively new tidytext package, written by Julia Silge (@juliasilge) and David Robinson (@drob). Essentially this package serves to bring text data into the “tidyverse”. It provides simple tools to manipulate unstructured text data in such a way that it can be analyzed…