How to create a bar chart
The bar chart is probably the most all-rounded chart type out there. In this tutorial, you will learn how to prepare and upload your dataset to create a bar chart with Datawrapper. Our version chart typ is fully responsive and offers a number of features which are hard to find elsewhere. Along with the line chart it is our most often used chart type.
1. Preparing and importing the data
Create a new chart in Datawrapper and upload or copy & paste your dataset. Datawrapper can work with all kinds of data, from Excel or Google Sheets to CSVs or just a pasted table.
For example, this dataset supplies the chart above. Note that the big numbers for the budgets are intentionally without currency symbols or extra formatting. For any data visualisation tool unformatted numbers are always best, because the potential of errors is reduced.
Your dataset should be formatted like this:
- Descriptive labels in the first column as categories.
This will determine the label in front of each bar.
- Corresponding values in the second column as categorical dimensions.
This will determine the length of each corresponding bar.
Copy the dataset into the upload field in Datawrapper. Then click "Upload" and continue.
2. Check & Describe
In the second step you can check if your dataset was imported correctly and make changes to it - if necessary. In this case, you have to untick "First row as label" to avoid losing your first row of data. Always remember to do this if you don't have desciptive row and column headers.
Datawrapper will now automatically create place holder labels for each column that will help you later on when you refine the chart. By selecting a certain output locale, Datawrapper chooses the correct decimal and thousand separator for you.
Click on " Proceed" to get to the visulization process.
You will notice that Datawrapper already made a bar chart based on your dataset. As for the next steps, you can further refine, annotate, and design the chart. We cover this in a separate short tutorial found here.