Statistics made easy

The Problem

Drawing an understandable conclusion from statistical data is often complicated, time-consuming and only specialists can do so. As part of my bachelor thesis, I asked myself how the content of already existing statistical data sets can be made more accessible in order to open the information content of the data to a broader target group.

The Approach

The approach to make the content of the data visible and understandable for a large target group led to the decision to translate the data sets into a visual language. In order to give the user freedom in the form of presentation, the choice of data sets and flexibility in the further use of the visualised data, a web application was designed which enables the user to easily visualise and compare statistical data throughout Germany within a few clicks and thus to create a convincing information content.




The application is built according to the principle to bring the user as quickly as possible from the selection of the statistical data set, via visualization to presentation. The process is designed to be as efficient as possible in order to quickly access the information content in everyday work. The whole interface is therefore placed on a single page to keep the click path as short as possible. Interactive depth is created by pop-up-overlays.


The created graphics can either be exported and thus integrated into the further workflow, or the interface elements of the application can be hidden and the result is presented directly in the application.


User tests with a prototype showed that on average, users need only nine clicks and 1.5 minutes to get from calling up the application to exporting the graphics.