This week sees us tackle another #Viz5 dataset, focusing on a gender equality topic: women in power, i.e. the parliamentary representation of women. The dataset comes from the World Bank and the team at Operation Fistula created a visualization for us to use as a starting point.
I’m pretty partial to food topics and this week Charlie chose an ‘excellent’ viz very much in need of a
Here’s a viz about what’s been taught at University of California
For this week’s #MakeoverMonday challenge, Charlie chose a terrible chart that is in desperate need of a makeover.
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.
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.
Given the buzz of #data19 last week, we’re working with a small and simple dataset for week 47, so we can all have some extra time to catch up on the things we missed at home.
#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.
For week 45, Andy selected a dataset about Las Vegas. It contains a number of metrics, including visitor numbers, gaming revenue, occupancy rates, etc.
There are quite a few stories in the data.
Before winter really takes hold, let’s look at some sunshine hours in cities around the world.