This week #MakeoverMonday is collaborating with Bridges for Prosperity, supporting them to tell more effective stories with data about the amazing work they do.
For week 3, Charlie picked an article and a viz about sugar and the high level of consumption of sugar in the UK by different age groups.
I created a heatmap to show the consumption patterns.
A few weeks ago I came across a fascinating and terrifying research paper that detailed just how much pesticide use there is in the US, particularly using chemicals that are banned in many other countries because they are deemed unsafe for humans.
For his first dataset, Charlie picked the topic of how popular different American sports are with spectators.
In this blog I describe my Makeover approach for the original viz.
So it has arrived, Andy’s last week as co-host of #MakeoverMonday. After 4 years of running this project (first with Andy Cotgreave, then with me), he is handing over the baton to Charlie to focus on other life projects.
My last dataset for this year falls into Christmas week, so after a little convincing from Andy I set aside the data I had originally planned to use and picked a simple Christmas spending dataset from the Deloitte Christmas Survey 2019.
For this week, Andy chose a Basketball dataset about NBA defensive ratings with a great visualization from FiveThirtyEight
For week 50 of Makeover Monday in 2019, we’re analysing the revenue of America’s biggest fast food chains. Thanks to Andy for finding the viz and the data when all my search efforts resulted in terrible results.
week 49, Andy picked a dataset about union membership, from an article by Mona Chalabi, who writes for the Guardian and is a recognised journalist who uses data visualisation and data art to make information more accessible.
Since moving to London, squirrels have become my favourite sight. Maybe even my favourite animal.
So when I came across this dataset about squirrels in New York’s Central Park, I just had to use it for Makeover Monday