In this example simply use some of the sample data we provide to let users try out Datawrapper and the various chart and map types you can produce.
Below you see how the Datawrapper screen looks in step 1, where you upload your data.
The big empty field in the middle will let you "copy and paste" data from any spreadsheet program into the tool. Alternatively you can upload a .CSV file.
To use Datawrapper every day the best way is to memorize this: First the data, then the chart. Your data can be a simple development over time, a comparison or any other meaningful data. A relevant chart can be build on complex data, but very often what is used is cleaned, relatively simple and aggregated data which then reveals a development or change. You find such data on the web and then prepare the data in a spreadsheet program like Excel or Google Sheets (or any other). Datawrapper then helps to quickly visualize what is so far hidden in raw data.
Some people argue that you can do the visualizations in Excel. We would say that Excel is great for preparation and that Datawrapper then speeds up the steps to actually publish a visualization to the web including your companies visual style and logo. Instead of tinkering for an hour you should be able to publish in minutes after doing a few simple charts.
Below is a screenshot showing you how the data will look after you being pasted from your spreadsheet program. Don't worry if it looks a bit different. We actually use step 1 to make sure nor hidden fields or characters are in the data. To check we move to step 2.
In this quick start tutorial we use some data for different models of the BMW 3 series (as in the screenshot above).
Use sample data to try out Datawrapper: You can load this data by simply choosing the dataset from the left drop It's merely an example, but you will see how helpful even a good table can be to understand information better and quicker.
Note: We have tutorials for all of our visualization types, e.g. line charts, bar charts and so on. Just go to the homepage of the Datawrapper Academy to check out the specific tutorials for other visualization types.