With interactive charts, users experience data in a completely different way. We present three free tools for this, from online tool to Python library.
A good chart can always be used to visualize boring numbers: at work, for school or just as a private project. But sometimes the graphics should be interactive. For example, the viewer can display tooltips or select a specific data area. The user can thus gain insights from a diagram himself and thus free himself from the specifications of a static graphic.
But while static graphics can be created quickly with Excel or other office programs, creating interactive graphics is a bit more complicated and requires special tools. We show how you can create interactive charts using three tools: the German-based online tool Datawrapper, the desktop application Tableau Public, and the Bokeh library for Python.
All tools are free, but come with different features and each requires different skills. In the end, however, they all provide an interactive graphic that the end user can immerse themselves in. In order for the comparison to remain fair, all services should visualize the same data set.
