Alcohol seems to be involved in every major celebration but equally in a typical Friday afternoon and for #MakeoverMonday in this week we’ll look at alcohol consumption.
I’ve noticed the community putting in the extra effort when a dataset ‘matters’ from a societal, political, environmental or ethical perspective.
So for this week we’re looking at the topic of sleep.
In my mind there is no bigger issue right now than that of climate change. Because it affects all of us. All 7 billion people.
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.
Andy found a great dataset for this week’s challenge: rankings of stadium popcorn at NBA stadiums across the US.
I created a viz that’s very similar to the original, because I liked it already
For week 13 we are using a viz about consumer spending by generation, using data that indicates what people spend
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