Here we go again: sports data. It’s not that I don’t like sports. Actually, I love sports. I love participating, but not watching in front of the TV
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.
After a week of malaria vizzes which had me very excited about the enthusiasm from the Makeover Monday community, we are turning our focus to Earth Day this week and the ecological footprint per capita for different countries.
The topic for this week is confirmed Malaria cases in Zambia’s Southern Province with a dashboard showing simulated data
I made some and they have made a huge difference.
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.
In the hundreds of hours spent on my bike I had – beside the amazing adventures – a few rides that were tough, cruel, painful, forgettable and even not enjoyable. But none of the rides sucked as much as the one I did last Sunday.
This week we look at global Wine Production with a simple dataset that looks easy but contains a couple of caveats.