What is the primary purpose of the Treemap Chart skill?

This skill provides Claude with the specific logic and syntax required to generate treemap chart configurations for Drizzle Cube dashboards, specifically for visualizing hierarchical data.

How do I define the nesting levels in the treemap?

You define nesting by adding multiple dimensions to the 'xAxis' array within the chartConfig, such as ['Category', 'Subcategory'].

Can I use metrics to determine the size of the rectangles?

Yes, the 'yAxis' property in the chart configuration determines the measure that dictates the size of each rectangle in the treemap.

When should I use a treemap instead of a pie chart?

Use a treemap when you have hierarchical data or too many categories for a pie chart to display clearly, as treemaps handle nested proportions more efficiently.

Drizzle Cube Treemap Chart Configuration

Name: Drizzle Cube Treemap Chart Configuration
Author: cliftonc

bycliftonc

Analytics & Monitoring

Configures hierarchical treemap visualizations for Drizzle Cube dashboards to represent complex, nested data structures as proportional rectangles.

About

The Treemap Chart skill empowers Claude to architect and implement sophisticated hierarchical visualizations within Drizzle Cube dashboards. It provides a structured framework for defining nested dimensions and metrics, allowing users to see at a glance how various categories contribute to a whole. By automating the configuration of xAxis hierarchies and yAxis sizing metrics, this skill ensures that complex data—like multi-level sales distributions or budget allocations—is presented in a clear, space-efficient, and logically grouped format.

Key Features

Nested dimension grouping for deep data exploration
Optional color-coding support through series dimensions
0 GitHub stars
Multi-level hierarchical data mapping
Metric-based rectangle sizing via yAxis configuration
Pre-configured patterns for Drizzle Cube dashboard JSON

Use Cases

Analyzing organizational budget spending across departments and projects
Mapping system resource or disk space usage across directories
Visualizing revenue distribution across nested product categories and subcategories

About

Key Features

Nested dimension grouping for deep data exploration
Optional color-coding support through series dimensions
0 GitHub stars
Multi-level hierarchical data mapping
Metric-based rectangle sizing via yAxis configuration
Pre-configured patterns for Drizzle Cube dashboard JSON

Use Cases

Analyzing organizational budget spending across departments and projects
Mapping system resource or disk space usage across directories
Visualizing revenue distribution across nested product categories and subcategories