Data, insight and design, mixed with a lit tle technology, enables us to see what is going on in the world, to tell a story that matters, and to make a difference.
If you have a cause you’re passionate about, some interesting data that can tell a story and would like to collaborate with me, please get in touch. I’m interested in active travel, cycling, the environment and social justice.
Chris Woods
Data Visualisation Designer
Launched on Clean Air Day, with Sustrans West Midlands, an interactive map that enabled residents and others to see, explore and understand the air quality where they live, work and travel.
For more information on the map and wider project, head over to the full post on Sustrans’ Website.
For my technical followers, I analysed the data using R and then created the visualisation with a Leaflet.js map as a base with markers and the circular bar chart built in D3.js. Data supplied by Birmingham City Council’s Environmental Health Department.
I created this interactive visualisation to show how rail usage in the UK has evolved over nearly two decades for the Campaign for Better Transport using the amazing mapping platform Carto.
The map, covering 18 years of journeys across the UK was a huge hit, featured by the BBC and on the front page of the Scotsman and viewed over 100,000 times. The fact that the map shows 45,000 data points in a way that can be quickly understood is astonishing.
The map allows the viewer to assimilate large amounts of data to instantly grasp the picture nationally, and zoom in on the area in which they live and work.
As a result of this piece of work, Carto asked me to be an ambassador.
This was a personal project visualising 284 rides, over 9,000 miles and climbing the equivalent of Everest 13 times!
Created in R (#rstats) with the ggplot using data from Strava via the rStrava package (with thanks to authors Marcus Beck and Daniel Padfield who kindly helped me resolve some technical issues) and then finished off in Adobe Illustrator.
For #TidyTuesday | UN Voting, I created this chart, showing how the UK votes differently to the 10 ‘most powerful’ countries listed by US News’ Power Rankings.
Each circular chart compares the UK’s voting to others, based on the number of votes for a given topic.
The chart was created with R using ggplot. Voting data is taken from Harvard’s Dataverse via the UNVotes R package. Colours taken from the Wes Anderson Darjeeling palette.
I was asked to create this visual to highlight the shocking figures about Modern Slavery in the UK by Hope For Justice.
Created in R (#rstats) with the ggplot using data from the UK National Crime Agency and then finished off in Adobe Illustrator.
As a challege for our Information Design Collective....
Created in R (#rstats) with the ggplot using data from SpotifyR
As an exercise to create a complete data visualisation using ggplot, i.e. without the need to add any finishing touches with a package such as Illustrator. To include specific fonts, cropped images and a repeating pattern where each item has similar constituent parts.
To make it a bit more interesting, I wanted to use R to extract colours from the included images.
