This week we’re working on the dataset behind the Big Mac Index. Many from the community will be familiar with the topic because it featured in this year’s Ironviz Europe contest.
Andy actually did it: he pulled Basketball data on me! But hey, all good, we all have to occasionally work with data we know nothing about.
This dataset found its way to me through some sponsored content on an Australian news website recently and I thought the topic was really interesting.
What a tough dataset Andy picked for this week. As much as I enjoy a good dig around the data, I do value my sleep and I’m missing out because I’m trying to make sense of this data.
Unlike some people’s ‘stuck in traffic’ commute, my daily 12min ride to work is just long enough to put a fresh glow on my cheeks in the morning and mess up my freshly blow-dried hair into a mix of wind-swept and helmet-hair.
In this week’s dataset, the first thing I did was to sort the sports by Endurance and voila, distance cycling is on top. My faith in the world is restored.
Following on from last week’s ecological footprint dataset, in week 18 we are tackling the very important and topical issue of Bee Colony Loss.
This week’s dataset looks at the ice extent of the Arctic and Antarctic Sea and comes from the National Snow and Ice Data Center.
This week we’re collaborating with Equal Measures 2030 and Tableau Public for International Women’s Day, using a dataset that shows how well policymakers across different countries are informed about five particular issues relating to women and girls.
For this week’s Makeover Monday we’re looking at export statistics of pharmaceuticals by country.
Germany is featuring very prominently again after last week’s Winter Olympics data.