Makeover Monday week 33, 2018: Anthony Bourdain’s travel summary
Andy’s choice of dataset this week is one that summarises Anthony Bourdain’s travels as he cooked and filmed in different locations to show people what and how others eat.
Makeover Monday week 32, 2018: What countries spend on R&D
We’re looking at what countries spend on Research & Development, data which is provided by the UNESCO Institute for Statistics.
Makeover Monday week 31, 2018: The Big Mac Index
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.
A mindset of abundance
A flower does not think of competing with the flower next to it. It just blooms.
Zen Shin
Makeover Monday, week 30 2018: Maternity Leave
A look at maternity leave at full pay in different countries across the world.
Makeover Monday week 29, 2018: Historical NBA Team Spending against the Cap
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.
Makeover Monday week 28, 2018: Volcanic Eruptions
After an exciting week in London last week with #TC18Europe and a training session with our friends from Mapbox, I decided on a dataset for Makeover Monday that contains lots of geospatial information. Enter: Volcanic Eruptions.
Makeover Monday week 27, 2018: Rat Sightings in New York City
For week 27 we will have two datasets. The official Makeover Monday dataset about Rat Sightings in NYC as well as a secret, yet-to-be-revealed dataset which we’ll use at TC18 in London this coming week.
Makeover Monday week 26, 2018: London Cycle Hire Usage
We have reached the half-way point of the year. 26 weeks of Makeover Monday (almost) behind us, 26 weeks of Makeover Monday to go.
For this week we’re playing with a large dataset again, looking at the hire usage of London’s Boris Bikes.
Makeover Monday week 25, 2018: U.S. Influenza Surveillance Report
For this week’s Makeover Monday, Andy picked a dataset about influenza cases in the US which comes with a line chart.
