Tableau, Travel and Triathlons
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.
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.
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.
#data19 has arrived and with it a live #MakeoverMonday session with A LOT of people. We want to use that opportunity of getting everyone in a room with their ideas and skills to tackle a topic that is very relevant today. Literacy and how literacy rates differ across countries, ages and gender.
Content warning: This post and the data visualisations within it focus on the topic of suicide. If you are not comfortable with the topic, please don’t feel obliged to continue.
For week 41, Andy chose a dataset about donations accepted by political parties, published by the electoral commission. The visualisation is an interactive Tableau dashboard, but it’s far from best practices and screams for a makeover
For week 40 I chose a rich dataset with a simple viz showing population predictions for London.
September 1st is the first day of autumn, meteorologically speaking. So I picked a dataset about how Americans feel about the different seasons.
The original viz and data comes from YouGov.
