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Excel Analysis

Analyze Excel spreadsheets with pandas to extract insights and create pivot tables.

322|45|Updated Dec 1, 2025
Search Tags:#charts#data analysis#pandas#spreadsheet#excel#data cleaning#pivot tables
One-click install
npx skills add https://github.com/Microck/ordinary-claude-skills --skill excel-analysis-microck
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Excel Analysis
Source: https://github.com/Microck/ordinary-claude-skills/tree/main/excel-analysis
Command: npx skills add https://github.com/Microck/ordinary-claude-skills --skill excel-analysis-microck

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, xlrd, xlsxwriter, matplotlib.

What problem does it solve?

Manually analyzing large Excel spreadsheets, creating pivot tables, and generating charts is a repetitive and error-prone process. This Skill automates complex Excel data manipulation and visualization tasks, saving significant time and reducing manual errors.

Core Features & Use Cases

  • Comprehensive Data Analysis: Perform grouping, filtering, aggregation, and metric calculation on tabular data.
  • Automated Report Generation: Create pivot tables and generate various charts (bar, pie) directly from your Excel data.
  • Data Cleaning & Transformation: Efficiently handle duplicates, missing values, data type conversions, and merge multiple spreadsheets.
  • Use Case: If you have monthly sales data spread across multiple Excel sheets, use this skill to automatically combine them, clean the data, generate a pivot table summarizing sales by region and product, and create a bar chart for a quick visual overview.

Quick Start

Analyze the 'sales_data.xlsx' file, create a pivot table showing total sales by region and product, and save it as 'pivot_report.xlsx'.

Frequently Asked Questions about Excel Analysis

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

FAQPage Schema
How do I automate pivot table creation from Excel spreadsheets?▼

Pivot tables summarize and aggregate tabular data by grouping rows and columns. This Skill automates pivot table generation from .xlsx files using pandas, enabling you to extract insights like sales totals by region and product without manual spreadsheet work.

Can I clean and combine data from multiple Excel sheets?▼

Yes. This Skill processes multiple sheets within a single .xlsx file, handling duplicates, missing values, and data type conversions, then merges the results into a unified dataset for analysis.

What's the best way to generate charts directly from Excel data?▼

This Skill reads .xlsx files with pandas and matplotlib to create bar and pie charts automatically. You specify the data and dimensions, and it outputs formatted visualizations without manual chart creation.

Do I need to know pandas to analyze Excel files with this Skill?▼

No. This Skill abstracts pandas operations under the hood, handling reading, grouping, aggregation, and filtering for you. You provide the Excel file and analysis parameters; the Skill manages the technical processing.

Can I export analysis results back to formatted Excel files?▼

Yes. After analyzing and transforming data, the Skill exports pivot tables, aggregated metrics, and processed datasets to new .xlsx files using openpyxl and xlsxwriter for formatting.

What file formats does this Skill support for input data?▼

This Skill reads .xlsx files (modern Excel format) and processes tabular data across sheets. It uses pandas with xlrd and openpyxl to handle Excel file I/O, supporting standard spreadsheet structures with headers and rows.

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