Fos this week’s #MakeoverMonday challenge, Charlie picked a chart about Amazon’s revenue vs profit. Line charts are a great way to capture time-series data at different levels of granularity.
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 Charlie chose a viz about the eating habits of people in the UK. Plant-based foods and a plant-based
Our collaboration with Operation Fistula for #Viz5 is here with another dataset. This time the topic is pretty horrific, which makes it all the more important to talk about and tackle. We’re looking at FGM, female genital mutilation, and more specifically the safe houses provided by nonprofits in Tanzania for girls and women who are at risk.
For this week’s #MakeoverMonday, Charlie picked a dataset about music industry sales in the US.
For this week’s MakeoverMonday challenge we are looking at car insurance rates – the minimum and the maximum – for each US state. There are significant differences between the states and the visualization I found that aims to show these differences is in need of a makeover.
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.
For week 18 we are tackling another #Viz5 subject, this time the topic of obstetric fistula, which is the focus of our #MakeoverMonday collaboration partner Operation Fistula.
For week 17 we’re looking at UK petrol and diesel prices at a weekly level.
As we all eat multiple times a day, I decided to look for a visualization about food and found one about the emissions linked to different types of foods.