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.
For week 13 we are using a viz about consumer spending by generation, using data that indicates what people spend
The Reykjavik Index proved to be an excellent topic and data and charts to draw inspiration from and I wanted to see how the community would re-imagine the dataset.
This week we look at how much wind energy is produced in different US states
The president of the United States is a never ending source of news and analysis-worthy headlines. The recent leak of Trump’s daily schedule provided us with a nice dataset to work with for Makeover Monday and there was no hesitation to use it for this week’s challenge.
Sure, there is a super bowl going on, but this is my week, not Andy’s so instead of football we’re looking at Chinese New Year’s spending and how it compares to that for Thanksgiving.
For week 5 we use data from the European Commission about the Digital Economy and Society Index, measuring digital performance
And here we go again. Week 1 once more, now my third ‘week 1’ as a co-host of #MakeoverMonday.
This week’s dataset is about the performance of London buses on safety metrics, looking at incidents and injuries involving buses.