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This article is brought to you by Datawrapper, a data visualization tool for creating charts, maps, and tables. Learn more.
We launched the beta version of Datawrapper roughly a year ago. The key idea was to show that a simple, four step process could enable everyone to create correct and embeddable charts.
Seems that we filled a need. From day one we had active users who created charts and published them. In November 2012 version 1.0 was published, based on a complete rebuild of the core, added features and more. One result is increasing traffic: In 2012, it took us about six months to reach the milestone of a million visits in total (measured by visits to charts published on multiple sites). As of early March 2013, we we are now up to 1,5 million visits – per month that is.
We are indebted to a number of early adopters in newsrooms and elsewhere. Our biggest and most important users are the people working for the The Guardian Data Blog. Simon Rogers, who started the Data Blog and Data Store, mentions Datawrapper regularly. A big “thanks” goes out to Ruhrnachrichten, Le Monde, Liberation, L’Avenir, Der Standard. The list is growing, week by week.
For us this is like getting a positive boost to keep on working. We wanted to create a simple to use tool for a complex task. Datawrapper, quite simply, does not stand in your way once you have found, checked and questioned data that is relevant.
But how did others perceive Datawrapper? How was the tool presented in articles and blogs? The list below is the most recent, at least of all articles in languages we were able to read and understand.
It is sorted chronologically, starting in February 2012 and lists both articles in English and in German.
Datawrapper was mentioned as a notable entry-level tool in two recent books about data-visualizations. In this particular phase of development we are in we value the view of experts and peers a lot.
That’s it so far. If you have articles reviewing Datawrapper in other languages we ignored, please let us know.
Plus, don’t forget to follow @Datawrapper on Twitter for updates, discussions and useful links about data-driven journalism.