malloy-queries

Provides guidance on writing Malloy queries for data analysis.

95|24|Updated Sep 16, 2024
One-click install
npx skills add https://github.com/malloydata/publisher --skill malloy-queries
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: malloy-queries
Source: https://github.com/malloydata/publisher/tree/main/skills/malloy-queries
Command: npx skills add https://github.com/malloydata/publisher --skill malloy-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill serves as a comprehensive guide to Malloy query patterns, syntax rules, and chart annotation reference, helping users write and debug Malloy queries efficiently.

Core Features & Use Cases

  • Query Patterns: Learn and apply Malloy's query patterns for various data analysis tasks like aggregations, grouping, time trends, and filtering.
  • Syntax Rules: Understand the syntax rules for writing valid Malloy queries, including field paths, joins, dates, aggregates, and dimensions.
  • Chart Annotations: Discover how to annotate charts for effective data visualization using Malloy's chart annotation syntax.
  • Use Case: For a data analyst who needs to write a complex query to analyze sales data, this Skill provides the necessary guidance to construct a robust and efficient query.

Quick Start

Use the malloy-queries skill to learn the syntax for creating a simple aggregation query to calculate total revenue.

Frequently Asked Questions about malloy-queries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write Malloy queries for data analysis and aggregations?

To write Malloy queries for data analysis, you apply specific query patterns for aggregations, grouping, and time trends. This involves structuring dimensions, aggregates, and field paths according to Malloy syntax rules.

What is the syntax for field paths and joins in Malloy?

Malloy syntax for field paths and joins allows you to navigate related tables and construct valid queries. Understanding these syntax rules is essential for building complex data analysis queries and retrieving accurate results.

How do I add chart annotations for data visualization in Malloy?

You add chart annotations for data visualization in Malloy by using its dedicated chart annotation syntax. This allows you to effectively label and configure visual outputs directly within your data analysis queries.

Can I use Malloy query patterns to analyze time trends and filter data?

Yes, you can use Malloy query patterns to analyze time trends and filter data. The syntax provides specific structural rules for applying time-based groupings and filtering conditions within your data analysis queries.

How do I debug complex Malloy queries for sales data analysis?

To debug complex Malloy queries for sales data analysis, you review the syntax rules for field paths, joins, and aggregates. Correctly structuring these query components ensures your data analysis returns accurate results.