18 Pitfalls of Data Visualization

Maarten Lambrechts is a data journalist I closely follow online, with great delight. Recently, he shared on Twitter his slidedeck on the 18 most common data visualization pitfalls. You will probably already be familiar with most, but some (like #14) were new to me: Save pies for dessert Don’t cut bars Don’t cut time axes…

Circular Map Cutouts in R

Katie Jolly wanted to surprise a friend with a nice geeky gift: a custom-made map cutout. Using R and some visual finetuning in Inkscape, she was able to made the below. A detailed write-up of how Katie got to this product is posted here. Basically, the R’s tigris package included all data on roads, and…

What to consider when choosing colors for data visualization, by DataWrapper.de

Lisa Charlotte Rost of DataWrapper often writes about data visualization and lately she has focused on the (im)proper use of color in visualization. In this recent blog, she gives a bunch of great tips and best practices, some of which I copied below:  You can find additional useful tips in the original DataWrapper blog.

Xenographics: Unusual charts and maps

Xeno.graphics is the collection of unusual charts and maps Maarten Lambrechts maintains. It’s a repository of novel, innovative, and experimental visualizations to inspire you, to fight xenographphobia, and popularize new chart types. For instance, have you ever before heard of a time curve? These are very useful to visualize the development of a relationship over time. The…

Evolving Floorplans – by Joel Simon

Joel Simon is the genius behind an experimental project exploring optimized school blueprints. Joel used graph-contraction and ant-colony pathing algorithms as growth processes, which could generate elementary school designs optimized for all kinds of characteristics: walking time, hallway usage, outdoor views, and escape routes just to name a few.   Definitely check out the original write-up if you…

Become a data-driven Sommelier by text mining wine reviews

Aleszu Bajak at Storybench.org published a great demonstration of the power of text mining. He used the R tidytext package to analyse 150,000 wine reviews which Zach Thoutt had scraped from Wine Enthusiast in November of 2017. Aleszu started his analysis on only the French wines, with a simple word count per region: Next, he applied TF-IDF to surface the…

A Categorical Spatial Interpolation Tutorial in R

Timo Grossenbacher works as reporter/coder for SRF Data, the data journalism unit of Swiss Radio and TV. He analyzes and visualizes data and investigates data-driven stories. On his website, he hosts a growing list of cool projects. One of his recent blogs covers categorical spatial interpolation in R. The end result of that blog looks amazing: This map…

Pixel Maps in R

Those of you who follow my blog know I love world maps. Particularly when they are used to visualize data, like these maps of Kaggle programming language preferences, US household incomes, rush hour travel times, or Shazam recognitions. Those who share this passion will probably like this blog’s topic: mapping data to pixel maps! In R obviously! Taras…