Before I introduce the topic of this month’s data visualisation blog, I’d like to share with the rest of the data visualisation community in remembering Hans Rosling, who passed from this world on 7th February 2017 after a year-long battle with pancreatic cancer. He cared, and used numbers and statistics to show it, also making them accessible to many through Gapminder, which I first met in a Kenyan university several years ago. I’ve quoted him here before, he is a loss to the world.
This month the data viz which has stood out for me has all, astonishingly coincidentally, related to travel.
These animated maps (courtesy EPFL) are beautifully created in a variety of colours, showing how road networks in different countries spider out from major cities. I’m not sure if I have a favourite, so here’s a static image from the Spanish version:
This next visual has caught my attention for too long, repeatedly, since I saw it a month ago. I’ve shared it with my husband, with friends & family. It shows how the movement of people through the tube networks of London follows a distinct rhythm as it beats to the timings of the two daily rush-hours.
The tube heartbeat, where the people near my home (East Ham / Stratford) clearly wake up an hour earlier than everyone else! Click through, unless you fear the distraction…
Rail network colours
Nicholas Rougeux of C82.net is responsible for the work behind my next favourite visual. This is an interactive diagram showing all the “Colours of the Rails”. I spent too long here, too, searching for the exact colours of the metro lines in various cities I’ve lived in and visited. It’s a clever visualisation, making, for me at least, all the connections I’d want to find, automatically.
Commuting in London
On from here to another interactive data viz, this one by Ben Moss, using Tableau. He uses data about how people across London commute to work, to create a explorable hexagonal matrix of London boroughs with information about each mode of transport encoded into the hexagons using a spectrum of blues.
As a cyclist, I was most interested in this example, which shows the propensity of people to travel to work by bike, with Hackney residents being the most prolific cyclists. Richmond, way to the west, is also relatively highly populated with cyclists (perhaps the bike attracts the cycling sort?), with fewer cyclists in the City, where over half of residents walk instead.
The sadder side
This last visualisation seems appropriate, in a week where three cyclists in London were sadly killed in road traffic accidents. Not showing cycling deaths, but motor vehicle deaths across the world.
As part of his “Makeover Monday” series, Andy Kriebel created this simple chart from one much harder to read. I’m pleased to see Britain so far down the list!
This article was written by Katie Kemmis from Capgemini: Business Analytics (UK) and was legally licensed through the NewsCred publisher network.