Can I create visual charts directly from my Excel data?

Yes, the skill provides patterns for generating charts using Matplotlib and saving them as images or embedding data visualizations into report outputs.

Can I apply conditional formatting to the output files?

Absolutely. The skill uses openpyxl to apply programmatic styles, including bold headers, color fills based on cell values, and auto-adjusting column widths.

What Excel file formats does this skill support?

The skill supports standard .xlsx and legacy .xls files by utilizing Python libraries like pandas, openpyxl, and xlrd.

How does it handle very large Excel workbooks?

It includes best practices for performance, such as using chunksize for large files and specifying only necessary columns to minimize memory usage.

Does this skill support merging data from multiple spreadsheets?

Yes, it provides implementation patterns for both vertical concatenation and relational merging (joins) of multiple Excel files into a single master dataset.

Excel Data Analysis & Reporting

Name: Excel Data Analysis & Reporting
Author: Activer007

byActiver007

Data Science & ML

Analyzes Excel spreadsheets, generates pivot tables, and creates data visualizations using Python-based data science libraries.

About

This skill empowers Claude to handle complex spreadsheet tasks programmatically, moving beyond manual editing to automated data processing. It leverages powerful libraries like pandas and openpyxl to automate data cleaning, perform multi-sheet analysis, and generate professional reports with custom formatting and charts. It is particularly useful for developers and data analysts who need to transform raw Excel data into actionable insights, merge disparate workbooks, or automate recurring financial and operational reporting workflows within their development environment.

Key Features

High-performance reading and merging of multiple large Excel files
Programmatic pivot table generation and multi-sheet workbook processing
Automated chart creation and data visualization using Matplotlib
Advanced data cleaning, deduplication, and type normalization
Custom Excel formatting including conditional styles and column auto-sizing
0 GitHub stars

Use Cases

Performing complex multi-sheet financial modeling and ad-hoc data analysis
Automating the generation of weekly sales reports from raw data exports
Cleaning and normalizing messy customer spreadsheets before database migration

About

Key Features

High-performance reading and merging of multiple large Excel files
Programmatic pivot table generation and multi-sheet workbook processing
Automated chart creation and data visualization using Matplotlib
Advanced data cleaning, deduplication, and type normalization
Custom Excel formatting including conditional styles and column auto-sizing
0 GitHub stars

Use Cases

Performing complex multi-sheet financial modeling and ad-hoc data analysis
Automating the generation of weekly sales reports from raw data exports
Cleaning and normalizing messy customer spreadsheets before database migration