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Makeover Monday | Week 9 | 2019: The economic value of the UK bicycle industry

Makeover Monday | Week 9 | 2019: The economic value of the UK bicycle industry

by Eva Murray | Feb 25, 2019 | Makeover Monday, Tableau

For this week’s MakeoverMonday challenge, we look at data about bicycle imports to the UK from 2010 – 2016. The original viz comes from a report by SQW and looks like this: What works well: Using a line chart for time series data Showing quarterly data...
Makeover Monday | Week 8 | 2019: Which States produce the most wind energy?

Makeover Monday | Week 8 | 2019: Which States produce the most wind energy?

by Eva Murray | Feb 17, 2019 | Makeover Monday, Tableau

This week we look at how much wind energy is produced in different US states. The original viz (and awfully opinionated, anti-wind energy article) comes from howmuch.net: What works well: States are sorted in descending order from highest to lowest installed capacity...

Makeover Monday | Week 7 | 2019: President Trump’s “Executive Time”

by Eva Murray | Feb 10, 2019 | Tableau

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...

Makeover Monday | Week 6 | 2019: How Chinese New Year Compares With Thanksgiving

by Eva Murray | Feb 3, 2019 | Tableau

One of the fun aspects of #MakeoverMonday is to pick a dataset each week. When I don’t have something obvious in mind or haven’t looked at the ‘backlog’ of options yet, I tend to check the calendar for significant events that we could viz...

Makeover Monday | Week 5 | 2019: Digital Economy and Society Index (DESI)

by Eva Murray | Jan 28, 2019 | Tableau

For week 5 we use data from the European Commission about the Digital Economy and Society Index, measuring digital performance for European countries. The original viz looks like this: What works well: Countries are sorted in descending order from highest to lowest...
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