A blog about data visualisation and visualisations
The question might be a strange one – here’s the thinking behind it. Many of my blog posts (and indeed, my book), have been based on the premise that I am both unskilled and unconfident at producing anything creative using traditional manual means. Pens, paper, crafts, physical creations, anything like that, have filled me with […]
Over the course of the last several years of this blog, you’ve got a good level of insight into how I think. But this post isn’t about me – how do great visualisation designers think? This (with the exception of me anglicising the spelling and emphasising the word “great”) is the subtitle and premise of […]
One of the reasons I love data visualisation and I enjoy producing what I might consider to be data art (many would disagree, but as with all art, isn’t there always the “is that art?” or “I don’t know what’s art but I know what I like” debate?) is the very fact that the same […]
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 […]
Part 1 was posted a few days ago here, featuring numbers 1-8. We’ll jump in at number 9. 9. Tableau is moving into data preparation. With the announcement of a three-year roadmap followed by the developers on stage, Tableau announced a raft of new features large and small. These are all well documented now in […]
So, is it OK to steal? Of course not. In the data visualisation context, that would be passing someone else’s work off as your own. Anyone would agree that would be the wrong thing to do. But that would make a very short and uninteresting post. At the very least, I’m shooting for quite long […]
Questions in Dataviz 