How do you create a true makeover of a viz? Evaluating the existing one, then taking several steps to improve on it is the approach I took this week for come up with my own viz about calories and sugar in breakfast cereals.
What a random dataset: how many women were constructors of crosswords during the Era of Will Shortz.
For week 5 of 2018, Andy picked a nice simple dataset, looking at the profit per second of the 25 most profitable US companies.
I had heard about turkeys and about vultures but not about turkey vultures and much less about birds called Butterball and Steamhouse. I decided this had to be a Makeover Monday challenge and I’m really glad it has been well received so far this week.
We ‘fought over’ this dataset and in the end I got it anyway. As usual. So I investigate the question ‘What do women want?’
This week we’re looking at Formula E data, which will come in handy when we run a Makeover Monday live session at the Munich TUG on Thursday, hosted by Audi.
For this week’s makeover, Andy picked a dataset that looks at all the details around arrests of NFL players over the last 17 years.
We’re checking out 5,000 years of solar eclipse data, courtesy of our friends at NASA. Fascinating stuff!
A rather peculiar topic for our MakeoverMonday challenge this week, but certainly one worth talking about
For week 31 we’re looking at historical sports data for the SEA Games which are about to kick off for the 29th time.