A blog about data visualisation and visualisations
Sport visualisations won’t be for everyone, but I do think that the debate on this question is quite simple. Sports by their nature are full of numbers and data: times, goals, scores, dates, rankings, statistics, averages, records, tables, and the like. Most of these are not too difficult to get hold of, either via Wikipedia […]
I haven’t gone all contemplative on you for this post, nor am I channelling my inner Black-Eyed Pea, but instead this is a post about the recent phenomenon of the Joy Plot. And it’s fair to say it’s resulted in a bit of a division of opinion. Those who know the derivation of the Joy […]
This week I began work on a Wimbledon-themed viz. I’m sure when I started this blog I had a stubborn determination not to use the word “viz”, rather to use the full term “visualisation” wherever possible. But I have a feeling it didn’t pan out that way, and given my propensity to veer off-topic, anything […]
As the 2016 French Open Tennis began a couple of weeks ago, the withdrawal of Roger Federer through injury was major story, both from a sport perspective (Federer remains a leading contender and his absence will be a major boost to his competitors) and from a data perspective (Federer is so consistent, that he has […]
Questions in Dataviz 