Join our webinar to get started with Datawrapper
May 30th, 2023
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
100+ articles that explain how to use Datawrapper
Answers to common questions
An exchange place for Datawrapper visualizations
Workshop materials to teach Datawrapper
Learn about available positions on our team
Our latest small and big improvements
Build your integration with Datawrapper's API
We're happy to help. Get in touch with us.
This article is brought to you by Datawrapper, a data visualization tool for creating charts, maps, and tables. Learn more.
Yesterday we released the next version of Datawrapper: 1.6. This post explains some of the new features, we hope you like them.
We simplified annotation of charts by supporting inline editing of chart title, description and labels directly in the chart. The changes are stored immediately. Using the inline editing is optional as you can still use the data table or the other UI elements to achieve the same effect.
The My Charts menu point now opens a drop down menu of your nine most recent charts to let you navigate to them more quickly.
Datawrapper now supports a smarter way of rounding numbers using significant digits. This is useful especially if the numbers in your dataset vary across different orders of magnitude and you want to show a constant precision. In contrast, rounding to a fixed number of decimal places has the negative side-effect of either cutting of important details or adding useless zeros.
The line chart in Datawrapper is now able to show data on a logarithmic scale. You can let the user switch between log and linear scales, just as you can see in this chart. The setting will be available only for charts were it makes sense (positive values which at least differ in three orders of magnitudes).
Here’s a brief list of other things we changed in Datawrapper 1.6.
Additionally, as with every other release, we spent some extra time on refactoring the code base and updating the dependencies to their most recent versions.
We hope you will enjoy the release. Please let us know if you find any bugs or other unexpected behavior.