A blog about data visualisation and visualisations
First – before anyone writes in, it’s possible that there are Africa grid maps out there. But I haven’t seen any. And second, I’m not certain whether you’d call these grid maps, tile maps or both. For the purposes of this entry I’ll probably alternate between both terms. Anyhow, last week I wanted to visualise […]
Here’s a post about my latest significant visualisation – it’s Olympic-themed, centred around all the decathlon greats from 1984 to the present day. I’m genuinely quite happy, but not delighted, with it. Click on the image below to see the interactive version on Tableau Public. And please, if you like to explore this kind of […]
First – an explanation. The majority of my visualisations are done using Tableau and published on Tableau Public (here). Available for all to see, it’s a great resource for experimenting and publishing work that you’re happy for all to see. Click on it today and you’ll see there are 190000+ authors, 25M+ views/month and over […]
In a blog where I’m posing every post as a question, this was by far the biggest question of the week in the UK. In fact, probably the biggest political question of my lifetime. But this is a data visualisation blog, so there’s no way I’m answering that particular question. The main point though, is […]
Yesterday, in my professional capacity, I attended a conference in Oxford related to data science in government. That makes me sound much grander than I am, but in reality it was a get-together for data scientists/analysts, researchers and policy makers to network and learn some of the data science work being done by government departments. […]
Data visualisations can cover just about any topic, from the sublime to the ridiculous; from the serious to the frivolous. I’ve seen no end of powerful visualisations on police brutality, casualties in war, mass shootings, the list goes on. Many more of these have surfaced, either new or updated, in the wake of the recent […]
Obviously the answer to this is “yes”, at least inasmuch as it can’t be the other way round. I’ve learnt (well, I knew really – let’s say “confirmed”) today that you can’t just decide on a visualisation without thoroughly knowing your data and its suitability for the job. Take the excellent visualisation below, published in […]
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 […]
Kind of an obvious question for this post. Of course it’s important to have clean data. For me, I’ve been involved in the thankless task of producing clean data for the last twenty years, much longer than I’ve been involved in visualisation. This article was one I wrote last year which confirms that most people […]
Questions in Dataviz 