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multi-file-excel-parquet-analysis

Analyze multi-sheet Excel files and generate classification reports with visual charts.

4.9k|347|Updated Apr 14, 2026
Search Tags:#reporting#data analysis#visualization#excel#parquet#large files
One-click install
npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill multi-file-excel-parquet-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-file-excel-parquet-analysis
Source: https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-excel-workflow/capability/excel-reading/multi-file-reading
Command: npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill multi-file-excel-parquet-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates reading, analyzing, and visualizing large Excel files with multiple sheets, simplifying complex data workflows.

Core Features & Use Cases

  • Excel File Loading and Sheet Traversal: Quickly read multi-sheet Excel files and gather row counts for each sheet.
  • Data Categorization and Summarization: Classify data into categories, compute frequency and percentage distributions, and generate summary reports.
  • Visualization and Reporting: Create visual pie charts and export analysis results into downloadable reports for decision-making.
  • Use Case: For example, analyze customer feedback across multiple regions stored in Excel, generate visual reports, and share insights seamlessly.

Quick Start

Use the skill to load an Excel file, analyze sheet sizes, and generate a visual report with a simple command.

Frequently Asked Questions about multi-file-excel-parquet-analysis

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

FAQPage Schema
How do I analyze large Excel files with multiple sheets?▼

Analyzing large Excel files with multiple sheets is automated by reading each sheet, computing frequency and percentage distributions, and generating downloadable visual summary reports.

How do I generate visual reports from Excel data categorization?▼

To generate visual reports from Excel data, classify data into categories, compute statistics, and automatically create pie charts with matplotlib for quick visual summaries.

Can pandas and pyarrow handle multi-sheet Excel file traversal?▼

Yes, pandas and pyarrow handle multi-sheet Excel file traversal by quickly reading sheets, gathering row counts, and summarizing large datasets for comprehensive data analysis.

What is the best way to extract insights from customer feedback stored across multiple Excel regions?▼

The best way to extract insights from regional customer feedback in Excel is automating sheet traversal, categorizing responses, and generating visual reports for seamless sharing.

Does this Excel analysis workflow support parquet files?▼

Yes, the Excel analysis workflow supports parquet files using pyarrow, allowing efficient reading, categorization, and visualization of large datasets alongside standard Excel formats.

What are the limitations of using matplotlib for Excel data visualization?▼

A limitation of using matplotlib for Excel data visualization is that it primarily generates static pie charts for summary reports, which may not suit highly interactive dashboards.

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