Scaling objects to represent a value is a key part of visualization, but it’s not without its pitfalls. Especially when it comes to fancy infographic bar charts, it can easily distort the value’s appearance. Why that is, and where else this can happen, isn’t always obvious. In my new video, I show how it happens and how to do it right – and how this issue inspired ISOTYPE.[Read more…] about New Video: Linear vs. Quadratic Change
It’s Florence Nightingale’s 201st birthday tomorrow! Since I missed her 200th, I figured I’d make a video about her famous chart. What made it tick? What was it about? Who was Nightingale, anyway?[Read more…] about New video: Florence Nightingale’s Famous Rose Chart (aka “Coxcomb”)
Visualization turns data into images, but are images themselves data? There are often claims that they are, but then you mostly see the images themselves without much additional data. In this video, I look at image browsers, a project classifying selfies along a number of criteria, and the additional information stored in HEIC that makes things like portrait mode and relighting possible.[Read more…] about eagereyesTV: What Is Data? Part 2, Are Images Data?
When dealing with large amounts of data, we often use summary statistics like average, median, standard deviation, sum, etc. They’re useful because they actually hide data, they reduce the amount of information we need to look at to give us a sense of the data. But the same averages and can describe datasets that look vastly different.[Read more…] about eagereyesTV Episode 1: The DataSaurus, Anscombe’s Quartet, and why summary statistics need to be taken with a grain of salt