I used the #MakeoverMonday dataset to build a very simple but clean bar chart in Tableau
For this week’s #MakeoverMonday, Charlie chose a chart from a BBC article about the prevalence of mental health issues between men and women and across different age groups.
In #MakeoverMonday we naturally mix heavier topics with some lighter and easier ones. We also aim to have a good variety of datasets. For this week I chose soccer in the US as a topic.
This week we’re looking at the World Happiness Report 2020, which lists over 150 countries in order of their reported happiness, based on a survey conducted by Gallup.
I’m pretty partial to food topics and this week Charlie chose an ‘excellent’ viz very much in need of a
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.
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