For week 8 I chose a dataset from the Australian Institute of Health and Welfare, looking at homelessness statistics and, more particularly, the outcomes of specialist homelessness services.
For this week’s #MakeoverMonday challenge, Charlie chose a terrible chart that is in desperate need of a makeover.
A few weeks ago, someone shared a viz from the Washington Post with me that showed how much of ‘your’
For week 5, Charlie picked an interesting dataset, stemming from a survey of Brits on how they voted in political elections as well as their opinion on James Bond actors and how open they are to a future Bond being female, gay, of ethnic minority origin or non-British.
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.