A retrospective of 15 years of data visualization projects
October 24th, 2024
4 min
Datawrapper lets you show your data as beautiful charts, maps or tables with a few clicks. Find out more about all the available visualization types.
Our mission is to help everyone communicate with data - from newsrooms to global enterprises, non-profits or public service.
We want to enable everyone to create beautiful charts, maps, and tables. New to data visualization? Or do you have specific questions about us? You'll find all the answers here.
Data vis best practices, news, and examples
250+ articles that explain how to use Datawrapper
Answers to common questions
An exchange place for Datawrapper visualizations
Attend and watch how to use Datawrapper best
Learn about available positions on our team
Our latest small and big improvements
Build your integration with Datawrapper's API
Get in touch with us – we're happy to help
This article is brought to you by Datawrapper, a data visualization tool for creating charts, maps, and tables. Learn more.
This week’s chart is short and simple…because summer is here! It’s a warm day in Berlin, refreshingly surprising after a long, long winter. Everybody’s sitting outside, drinking a beer, enjoying the sun, smoking a cigarette…well, but do they? When I was twelve years old, on average six cigarettes were sold to each German adult each day. Now, it’s a third less:
Developed countries must make the tobacco industry cry: Many of them experienced the peak in tobacco consumption between the 40s and 80s. During this time, the US had a higher cigarette consumption than Germany – by now, it’s less. Still: The current three to five cigarettes per adult per day seems a lot to me. And this chart just shows us some developed countries: In many developing countries, cigarette consumption is going up. Chinese adults bought more cigarettes each day in 2014 than US-Americans at the beginning of the 60s.
In the chart title, I mention “developed countries”. I also show lots of them – but then I highlight just three countries, the United States, Germany and France. Why? Because the alternative would be to either give them all a different vibrant color or to leave them grey. Both would be harder to read. The lines would be a tangled mess in which it’s hard to see the trend. So in some cases, it can be a good idea to make one to three countries stand out of the chaos as examples of the trend.
Another small detail in this chart is to extend the y-axis to zero. Datawrapper line charts don’t automatically do that for good reasons. But when the y-axis comes close to zero anyway and the main statement is still visible, including the zero baseline increases readability and comparability by a lot. When creating a line chart, it’s a good idea to quickly check if including zero might be an option.
By the way: I silently recorded my process, showing how I got the data from an Our World in Data article into Datawrapper, via Google Sheets: Click here to watch the video on YouTube. You will see me use pivot tables (which I will explain in another blog post) & the filter option. See you next week!
Comments