summarize

Compute concise table statistics for data quality checks via CLI.

209|30|Updated Sep 18, 2021

Search Tags:#database #cli #statistics #data-analysis #summarize #table #starlake

Ready to run

npx skills add https://github.com/starlake-ai/starlake --skill summarize-starlake-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/starlake-ai/starlake/tree/main/.agent/skills/summarize
Command: npx skills add https://github.com/starlake-ai/starlake --skill summarize-starlake-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Summarize a table by computing its concise, informative statistics to aid quick data understanding and quality checks.

Core Features & Use Cases

Generate key statistics (count, min, max, mean, nulls) for a given table.
Useful for data validation, reporting, and quick health checks on datasets.

Quick Start

Run the summarize command with domain and table to obtain a summary for the specified dataset.

Frequently Asked Questions about summarize

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

FAQPage Schema

How do I generate basic statistics for a database table?▼

You can generate table statistics by running the summarize command with your specified domain and table to instantly compute key metrics like count, min, max, mean, and nulls for data quality checks.

What is the best way to perform a quick data quality check on a dataset?▼

A quick data quality check involves computing concise, informative statistics for your table to identify nulls, counts, and ranges. This instantly surfaces data health issues without requiring complex manual queries.

Do I need a configured Starlake environment to summarize a table?▼

Yes, a configured Starlake environment and access to the target table are required. The summarize command operates via the CLI within this environment to compute basic statistics for data validation and reporting.

Can I use the summarize command for data validation and reporting?▼

Yes, the summarize command computes key statistics including count, min, max, mean, and nulls, making it useful for data validation, reporting, and quick health checks on datasets for dashboard integration.

What statistics are included in a table summary for data analysis?▼

A table summary includes key statistics such as count, min, max, mean, and null values. These concise metrics provide an informative overview of the dataset's contents for data validation and reporting.