Can I use this for path analysis and event flows?

Absolutely. The skill includes specific configurations for Flow mode, supporting Sankey diagrams and Sunburst charts for bidirectional path exploration.

Is it possible to filter data across different cubes?

Yes, the skill supports cross-cube mapping for funnels by allowing you to define different binding keys and time dimensions for each cube involved in the analysis.

What is an AnalysisConfig object in Drizzle Cube?

It is the standardized JSON format used to persist the state of an analysis, covering the query logic, visualization type, and display settings for dashboard portlets.

How does it handle time-based conversion in funnels?

It uses ISO 8601 duration formats (like P30D for 30 days) to define 'timeToConvert' constraints between sequential steps in a funnel analysis.

Does this skill support multi-query visualizations?

Yes, it allows you to combine multiple queries using 'merge' or 'concat' strategies to visualize related data series in a single chart.

Drizzle Cube Analysis Config

Name: Drizzle Cube Analysis Config
Author: cliftonc

bycliftonc

Analytics & Monitoring

Configures standardized AnalysisConfig objects for complex query, funnel, and flow visualizations in Drizzle Cube applications.

About

The dc-analysis-config skill empowers developers to programmatically generate and manage AnalysisConfig objects, which serve as the canonical state format for Drizzle Cube dashboards. It provides comprehensive support for defining multi-query aggregations, sequential conversion funnels with time-to-convert constraints, and bidirectional path analysis using Sankey diagrams. By automating the creation of these detailed configurations, the skill ensures high precision in dashboard portlet definitions, URL sharing, and persistence layers, making it indispensable for building data-driven user experiences.

Key Features

Supports Query, Funnel, and Flow analysis modes for versatile data storytelling
Architects cross-cube funnels with ISO 8601 duration-based time windows
Generates multi-query configurations with flexible merge and concat strategies
Configures Sankey and Sunburst visualizations for path and flow analysis
Provides deep filter support including nested AND/OR logic and date comparisons
0 GitHub stars

Use Cases

Mapping complex user conversion journeys across disparate data sources
Visualizing bidirectional event flows to identify user behavior bottlenecks
Defining persistent dashboard portlet states for business intelligence tools

About

Key Features

Supports Query, Funnel, and Flow analysis modes for versatile data storytelling
Architects cross-cube funnels with ISO 8601 duration-based time windows
Generates multi-query configurations with flexible merge and concat strategies
Configures Sankey and Sunburst visualizations for path and flow analysis
Provides deep filter support including nested AND/OR logic and date comparisons
0 GitHub stars

Use Cases

Mapping complex user conversion journeys across disparate data sources
Visualizing bidirectional event flows to identify user behavior bottlenecks
Defining persistent dashboard portlet states for business intelligence tools