In this segment, you will learn about another visualization technique that is known as treemaps. Before you learn how to create treemaps, you will learn about the type of data that can be represented by treemaps.
A treemap plots the quantitative variables for each category of the dimension. The values of the quantitative variables are represented by the size and the color intensity of the plot. A treemap can only accommodate two measures: one to control the size and the other to control the color. However, it can accommodate any number of dimensions, as it would only increase the number of rectangles on the treemap.
By now, you have created a large number of visualizations. In the next segment, let's summarise your learnings from this session.
Now that you have understood the concept of a treemap, you will learn how to create it. A categorical variable, when used in the ‘Marks’ card to display the color or the shape, uses distinct colors and shapes based on the distinct categories of the dimension variable. However, when a measure is used to display the color, it uses different shades of the same color to represent that measure. In such a case, the color intensity is directly proportional to the values of the measure. In the next video, you will learn more about this.