csv-analysis

Automates CSV data analysis including grouping, aggregates charts and Markdown reports using Python.

128|12|Updated May 21, 2025
One-click install
npx skills add https://github.com/zjunlp/DataMind --skill csv-analysis-zjunlp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: csv-analysis
Source: https://github.com/zjunlp/DataMind/tree/main/datacope/general/docs/skills-example/csv-analysis
Command: npx skills add https://github.com/zjunlp/DataMind --skill csv-analysis-zjunlp

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines CSV data analysis, making it easy to perform tasks like reading files, grouping records, computing aggregates, and generating reports.

Core Features & Use Cases

  • CSV File Reading: Access and read local CSV files for detailed analysis.
  • Record Grouping: Group records based on specified criteria.
  • Aggregate Computations: Calculate rates or aggregates from the data.
  • Chart Generation: Create charts to visualize the data.
  • Markdown Reporting: Generate and write a Markdown report.
  • Use Case: If you need to analyze customer data from a CSV file, this Skill can automatically read the file, group it by region, compute the average order value, generate a chart, and write a summary report.

Quick Start

Run the csv-analysis skill to analyze the 'customer_data.csv' file and generate a report on customer order values by region.

Frequently Asked Questions about csv-analysis

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

FAQPage Schema
How do I automate CSV data analysis and generate a report?

Automating CSV data analysis involves reading local files, grouping records by criteria, computing aggregates, and generating Markdown reports. This Skill streamlines the workflow from raw data to final reporting.

Can I generate charts from CSV files for customer data analysis?

Yes, generating charts from CSV files for customer data analysis is supported. The Skill creates visualizations directly from computed aggregates to illustrate metrics like average order values by region.

Do I need Python to run CSV grouping and aggregate computations?

Yes, Python is required to run CSV grouping and aggregate computations. The Skill relies on a Python environment to process local files, calculate aggregates, and render visualizations.

What is the best way to group records by region and compute averages in a CSV file?

The best way to group records by region and compute averages in a CSV file is using an automated tool that reads the file, groups by specified criteria, calculates aggregates, and outputs a summary report.

Does this CSV analysis tool write Markdown reports for financial reporting?

Yes, this CSV analysis tool writes Markdown reports suitable for financial reporting. It reads the file, processes the data, and generates a formatted Markdown document summarizing the computed aggregates.