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JimLiu
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data-analysis

Analyze Excel and CSV files with pandas for basic statistics.

629|87|Updated May 20, 2026
Search Tags:#data analysis#Excel#CSV#data insights#statistical summary
One-click install
npx skills add https://github.com/JimLiu/Illustrated-Agent-Skills --skill data-analysis-jimliu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/JimLiu/Illustrated-Agent-Skills/tree/main/examples/chapter-07/data-analysis-v1
Command: npx skills add https://github.com/JimLiu/Illustrated-Agent-Skills --skill data-analysis-jimliu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, and includes scripts (resource) components.

What problem does it solve?

This Skill provides users with a streamlined approach to analyzing Excel and CSV files, delivering essential statistics and insightful findings without the need for complex software.

Core Features & Use Cases

  • File Analysis: Support for Excel (.xlsx, .xls) and CSV files.
  • Statistical Summaries: Offers basic statistics like mean, median, max, min, and standard deviation.
  • Data Inspection: Identifies missing values and anomalies.
  • Insightful Summaries: Generates concise,中文 summaries of key data observations.
  • Use Case: Ideal for quickly understanding the overall trends and characteristics of a dataset in business, research, or academic contexts.

Quick Start

Analyze the data file 'sales_report.xlsx' and provide a summary of key findings.

Frequently Asked Questions about data-analysis

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

FAQPage Schema
How do I get a statistical summary from an Excel or CSV file?▼

To get a statistical summary from an Excel or CSV file, this analysis tool processes the dataset to calculate mean, median, max, min, and standard deviation. It inspects the data to identify missing values and anomalies.

What's the best way to quickly understand data distributions and outliers?▼

The best way to quickly understand data distributions and outliers is by running basic statistical analysis on your dataset. This generates concise summaries of key observations, highlighting essential data characteristics for decision-making.

Can I use pandas to analyze Excel files for financial reporting?▼

Yes, you can analyze Excel files for financial reporting using pandas-based tools. This functionality executes basic statistical analysis on Excel and CSV files, providing insights into dataset characteristics applicable to financial contexts.

How do I identify missing values and anomalies in a CSV dataset?▼

To identify missing values and anomalies in a CSV dataset, the data inspection feature scans the file and reports these irregularities. It delivers essential statistics to help you understand overall data trends.

Does this data analysis approach support both .xlsx and .xls Excel formats?▼

Yes, this data analysis approach supports both .xlsx and .xls Excel formats, as well as CSV files. It utilizes pandas for data manipulation to provide key statistics and findings without needing complex software.

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