#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.
This week’s #MakeoverMonday takes us to one of Andy’s very first vizzes and one of the first vizzes published on Tableau Public (he published 8 vizzes the day the platform went live). We’re looking at STD infection rates in America.
Alcohol seems to be involved in every major celebration but equally in a typical Friday afternoon and for #MakeoverMonday in this week we’ll look at alcohol consumption.
I’ve noticed the community putting in the extra effort when a dataset ‘matters’ from a societal, political, environmental or ethical perspective.
So for this week we’re looking at the topic of sleep.
After a few weeks of more in-depth datasets I decided to use a dataset that was shorter and simpler, with the option for people to add more context should they wish to do so.
For week 19 Andy picked baseball data and I’ll be the first to admit that I expected it to not be fun, because it’s a topic I know nothing about and I wasn’t quite ready to spend hours learning about baseball. Until I did.