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.
week 49, Andy picked a dataset about union membership, from an article by Mona Chalabi, who writes for the Guardian and is a recognised journalist who uses data visualisation and data art to make information more accessible.
Since moving to London, squirrels have become my favourite sight. Maybe even my favourite animal.
So when I came across this dataset about squirrels in New York’s Central Park, I just had to use it for Makeover Monday
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.
This one is for the perfectionists, the introverts and those who struggle to say no to stuff. It’s just as much a note to self.
#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.
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.
In this blog post, I have collected all that I have learned about public speaking and the approach I take.