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…

Mapping Median Household Incomes in the US

The US Census Download Center contains rich information on its countries demographic data. Here you can find a piece of R code that uses the highcharter package in R to create an interactive map showing the median household per country.  

Geographical maps using Shazam Recognitions

Shazam is a mobile app that can be asked to identify a song by making it “listen”’ to a piece of music. Due to its immense popularity, the organization’s name quickly turned into a verb used in regular conversation (“Do you know this song? Let’s Shazam it.“). A successful identification is referred to as a Shazam recognition. Shazam users can opt-in…

Digitizing the Tour de France 2017 – II

A few weeks back, I gave some examples of how data, predictive analytics, and visualization are changing the Tour de France experience. Today, I came across another wonderful example visualizing the sequences of geospatial data (i.e., the movement) of the cyclists during the 11th stage of the Tour de France  (blue dots). Moreover, the locations of…