A blog about data visualisation and visualisations
This is something I’ve wanted to do for a while. Not to be confused with my previous project, with #AlbumCoversAsDataViz, this is more about how you can visualise the actual contents of an album – its words, its sounds and its structure. I was reminded more recently about this by meeting Stefanie Posavec. When we […]
Lockdown (due to COVID-19) has been a difficult time. As I write, we are entering the sixth week of not leaving the house except for essential food and exercise, with a full family staying, working from home. It doesn’t feel right writing this, since I am neither an epidemiologist, nor a mental wellbeing expert. But […]
It’s been a while since I posted – but I wanted to draw attention to one of my recent visualisations and the design thought processes behind it. I’m going through a stage of having a lot of half-finished ideas, not to mention busy times professionally, so in order to get something completed, I wanted to […]
As a mathematician, I’ve always been interested in numbers and patterns between them. So many mathematical formulas, numbers and concepts can be “explained”, or at least shown visually, that I was tempted to create data visualisations (or, if you prefer, data art) based on numbers and their patterns. One of my first fun mathematical facts […]
For those who don’t know, Encode was a brand new conference hosted in London on September 18th-20th featuring workshops, debates and presentations. It focused on the pillars of design, education and journalism within data visualisation. There were many great takeaway quotes, inspirations and ideas from the conference, so without further ado let’s get started: Grab […]
OK, so the title to this is a deliberate reference to an earlier post: Why do we visualise using circles? That particular post celebrated Manuel Lima’s amazing book and went over many of the opinions that people have expressed about circles in data visualisation – love them or hate them. But what about triangles? I don’t […]
This post refers to a recent visualisation of mine which aimed to look at poverty rates across the 47 prefectures (regions) of Japan. Because each individual prefecture was reported with average poverty rates, and therefore each had the same amount of importance placed on it regardless of size or population (and because I love tile […]
