Does this skill work with any database?

This skill is specifically designed for the Drizzle Cube ecosystem, helping Claude interpret your schema to generate valid JSON configurations for Drizzle dashboards.

What is the Scatter Chart Configuration skill?

It is a specialized Claude Code skill designed to help developers quickly configure scatter plots for Drizzle Cube dashboards by providing optimized syntax and implementation patterns.

When should I use a scatter chart instead of a line chart?

Use a scatter chart to find relationships or distributions between two distinct variables, whereas a line chart is better suited for visualizing trends over a continuous variable like time.

Can I group data by categories in these scatter plots?

Yes, the skill supports a 'series' property in the configuration which allows you to group and color-code data points by specific dimensions or categories.

Scatter Chart Configuration

Name: Scatter Chart Configuration
Author: cliftonc

bycliftonc

Analytics & Monitoring

Configures detailed scatter plots and correlation visualizations within Drizzle Cube dashboards.

About

This skill empowers developers using Claude Code to effortlessly generate and configure scatter charts for Drizzle Cube dashboards. By providing structured patterns for mapping dimensions and measures to X and Y axes, it facilitates complex data analysis tasks such as correlation identification, distribution mapping, and outlier detection. It supports advanced features like multi-variable series grouping, enabling clear visualization of relationships across different data categories for more informed business intelligence and decision-making.

Key Features

Automated scatter plot configuration for Drizzle Cube
Pre-defined templates for performance and financial data
0 GitHub stars
Support for multi-variable series grouping and color coding
Seamless integration with Drizzle Cube schema and dimensions
Correlation and distribution analysis patterns

Use Cases

Visualizing the relationship between two specific business metrics
Identifying clusters and outliers in large dataset distributions
Comparing multi-category performance data using color-coded series

About

Key Features

Automated scatter plot configuration for Drizzle Cube
Pre-defined templates for performance and financial data
0 GitHub stars
Support for multi-variable series grouping and color coding
Seamless integration with Drizzle Cube schema and dimensions
Correlation and distribution analysis patterns

Use Cases

Visualizing the relationship between two specific business metrics
Identifying clusters and outliers in large dataset distributions
Comparing multi-category performance data using color-coded series