Overview

A Treemap Chart is used to visualize hierarchical data as a set of nested rectangles. Each branch of the hierarchy is represented by a rectangle, and its size corresponds to a specific measure. This type of chart is useful for analyzing proportions and identifying dominant categories within a dataset.

When to Use

• To visualize hierarchical data in a compact and space-efficient way.
• To compare proportions between different categories and subcategories.
• To identify patterns such as the largest or smallest contributors within a dataset.

Data Structure

A Treemap Chart requires:

• Series: A categorical field representing the top-level grouping (e.g., the_date(Month)).
• Detail: A categorical field defining subcategories within each group (e.g., store_type).
• Measure: A numerical field representing the value used to size the rectangles (e.g., store_sales).
• Color (Optional): Used to set the color of the chart based on categories or numerical values (e.g., store_sales for intensity-based coloring, or a categorical field for distinct colors).
• Tooltips (Optional): Additional information to be displayed when hovering over the sections.
• Time Axis (Optional): Allows for time-based filtering.
• Filters (Optional): Used to refine the displayed data (e.g., filtering by year or region).

Example

Data Structure

the_date (Month)	store_type	store_sales
1998-11	Supermarket	73920.69
1998-11	Deluxe Supermarket	62067.19
1998-11	Gourmet Supermarket	14364.67
1998-11	Mid-Size Grocery	10940.17
1998-11	Small Grocery	5458.03
1998-09	Supermarket	78567.44
1998-09	Deluxe Supermarket	65789.32
1998-09	Gourmet Supermarket	16789.53

Treemap Chart