Makeover Monday week 20, 2018: Hours spent in Congestion in European Cities

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Traffic jams are an unpleasant side effect of living in cities and driving cars. After my move to Nuremberg last August, my commute changed significantly. Instead of a frustrating 60min drive each way, I now spend a pleasant 12-14 minutes riding my city cruiser bike to the office. 10min on my race bike. 14 minutes if I carry lots of smoothies in my bag and have to drag myself up the ‘hill’ on the way. There are bike lanes, I could also take a scenic detour along the lake, and by taking backroads I can avoid a bunch of traffic lights.

This to me doesn’t even count as a commute. It’s 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.

There are a lot of people, however, who drive to their work every day and spend A LOT of their time stuck in traffic. And that’s the data we’re looking at for Makeover Monday this week.

The original visualization comes from EuroNews:

Screen Shot 2018-05-12 at 10.18.56 pm.png

What works well:

  • A simple bar chart with clear labels of the bars and the y-axis
  • The title is concise and simple, supported by a footnote to clarify how ‘hours in congestion’ is defined
  • The source is included
  • The measure is very simple: number of hours spent in congestion. Most people, at least those who drive, can relate to it
  • Bars are sorted in descending order


What could be improved:

  • The colors of the bars don’t have real meaning and instead just differentiate the alternating bars. Color should have meaning or be removed.
  • For my liking there are too many gridlines. I’d remove them and put the hour value labels on top of the bars
  • The title doesn’t read very well. Congestion seems like a complicated word. Why not just use ‘traffic jam’?
  • The shading behind the title is distracting


What I did:

  • I felt the hours spent in congestion needed to be seen in the context of the total driving time
  • I wanted a simple bar chart because they can be so effective at showing comparisons
  • I included a percentage from the original source data to show what proportion of total peak hour driving time is sent in congestion
  • I had a good look at the original dataset which has many more cities. Reading the source article ALWAYS helps with getting a better understanding of the background.


Dashboard 1 (3).png


  1. Hello Eva,

    This was a nice presentation.

    I thought to create the pie chart with each country same as the chart you created. Can you please help me how the total hrs calculated for each Country?



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