Data visualization

Data visualization is a way of presenting data using charts, tables, maps and other visual elements. It helps turn numerical information into a form in which differences, trends, relationships or unusual values can be recognized more quickly.

How to choose the right visualization

The chart type should match the question. Development over time is usually shown with a line chart, comparison of categories with a bar chart and the relationship between two numerical variables with a scatter plot. A table is suitable when the user needs exact values. A waterfall chart is used to show visually how a starting value changes over time or through the effect of individual categories.

Principles of clear visualization

A chart should have a clear title, labeled axes, a suitable scale and a reasonable amount of information. Misleading scales should be avoided; visualization should support interpretation, not complicate it.

Well-chosen visual elements make it easier to share results and help users understand what they mean.