A primary goal of data visualization is to communicate information clearly and efficiently to users via the information graphics. Effective visualization helps users in analyzing and reasoning about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. The datacollider provides you with the possibility of making multiple types of visualization easily.
The image below shows you the main visualization screen. There are three different sections here present:
- Parameter configuration to the left: this is the place where you specify what fields are used for a visualization and also the place to adapt the styling of your visualization (e.g. colors)
- Visualization panel to the right: this is where your visualization is actually displayed
- The control panel at the bottom: This is where you control full data execution and where you control the animation of your visualization over time.
We’ll show you how to use each section below and guide you to create a visualization.