Visualize Data


To represent data visually, many different types of visualizations are provided, all with different strengths for displaying the data in an informative way.

For example, there are visualizations suitable for making comparisons and investigating distributions, correlations or trends in the data as exemplified below. Whether the data is continuous or categorical, whether it should be aggregated, and whether one, two, three or more variables are to be represented, are also of importance when you decide what visualization to use.

When you add a visualization to an analysis, you can do it in three ways:

No matter method used, you can at anytime modify the properties of the visualization. The properties to change can be anything from changing what data columns are visualized and how their data should be summarized to changing colors and fonts. You can even switch to another visualization type.

Get started

To add a visualization, either

 

See also:

Data in Analysis

Visualization Layout