Display hierarchical data as nested rectangles with Treemaps. Visualize the relative size of categories and sub-categories in one view.

Treemaps display hierarchical data as a set of nested rectangles. Each branch of the tree is given a rectangle, which is then tiled with smaller rectangles representing sub-branches. The area of each rectangle is proportional to its value. This is the most space-efficient way to visualize thousands of items in a comprehensive "inventory" view.

Edilitics leverages governed datasets to build dynamic Treemaps, allowing you to drill down from high-level categories to individual line items instantly.

When to Use a Treemap

Use Case	Why This Chart Works
Inventory Analysis	Visualize stock value by Category -> Sub-Category -> Product.
Disk Usage	The classic use case: See which files/folders exist on a server by size.
Budget Audit	Department -> Team -> Expense Item. Spot large expenses instantly.
Market Sector	Sector -> Industry -> Company. See the composition of a portfolio.

Chart Configuration in Edilitics

Inputs Required

Data Type	Required Count	Description
Dimensions (Columns)	1 - 2	Hierarchical categories (Parent -> Child).
Metrics (Rows)	1 - 2	1st Metric: Tile Size. 2nd Metric: Tile Color (optional).

How to Configure a Treemap

Select "Treemap" from the Chart Library.
Build Hierarchy:
- Drag the top-level dimension (e.g., Region) to Level 1.
- Drag the child dimension (e.g., State) to Level 2.
Assign Size:
- Drag your primary metric to Size/Value.
Advanced Coloring:
- Optionally, map a divergence metric (like Profit +/) to Color. This creates a powerful view where Big Box = High Sales, but Red Color = Loss Making.

Feature Highlights

Clicking into a group zooms into that level, showing a breadcrumb trail at the top (e.g., Home > Electronics > Phones) for easy navigation back up.

Zoom & Pan

For deep hierarchies, users can zoom into a specific sector to see the granular tiles that were too small to render at the top level.

Dual-Metric Encoding

Uniquely supports Size (Metric A) and Color (Metric B), allowing you to spot "Large but Unprofitable" or "Small but High Growth" items instantly.

Best Practices for Treemaps

Practice	Why It Matters
Use for Comparisons	Perfect for spotting the "giants" in a long tail of data.
Avoid Negative Size	Area cannot be negative. Ensure your Size metric is absolute (Revenue), not relative (Growth).
Color for Action	Use the Color metric to guide attention (e.g., Red = Urgent Attention Needed).
Limit Depth	2-3 levels of hierarchy is optimal for web viewing. deeper levels may require too many clicks.

How Edilitics Is Different

Unlike static block charts, Edilitics Treemaps are designed for drill-down investigation:

File Explorer Experience: Start at "Region" level and drill all the way down to "SKU" without leaving the chart.
Breadcrumb Navigation: Click into any group to zoom in, with a clear trail back to higher levels.
Dual-Metric Encoding: Map Size (Metric A) and Color (Metric B) to spot complex patterns like "Large but Unprofitable".
Governed Hierarchies: Your dimension hierarchy is validated from the governed dataset, ensuring consistent structure.

This makes Treemaps a powerful investigative tool for large datasets.

Treemaps turn spreadsheets into maps. They allow you to survey your entire data landscape at once and zoom in on the specific territories that matter.

Need help? Email support@edilitics.com with your workspace, job ID, and context. We reply within one business day.

Treemaps for Hierarchical Volume