Can I use this skill to merge multiple Excel workbooks?

Yes, the skill includes optimized patterns for concatenating and merging multiple Excel files based on common columns or vertical stacking.

Can this skill generate charts inside the Excel file?

The skill can generate standalone chart images (PNG/JPG) and apply cell-level conditional formatting directly within the workbook.

Does it support older .xls files?

Yes, it supports modern .xlsx via openpyxl and older .xls formats by utilizing the xlrd engine.

What Python libraries are required for these tasks?

The skill primarily utilizes pandas, openpyxl, matplotlib, and xlsxwriter for comprehensive data manipulation and reporting.

Is it capable of handling large datasets?

Yes, it includes performance-focused patterns such as using chunking, column selection, and specific engines to efficiently process large spreadsheet files.

Excel Data Analysis

Name: Excel Data Analysis
Author: Microck

byMicrock

•

Data Science & ML

Automates Excel spreadsheet manipulation, data cleaning, and visualization using Python's Pandas and OpenPyXL libraries.

About

This skill empowers Claude to perform sophisticated data engineering and analysis on Excel files by leveraging the Python ecosystem. It provides optimized patterns for reading multi-sheet workbooks, cleaning messy datasets, performing complex aggregations via pivot tables, and generating professional charts. Whether you are merging disparate quarterly reports or applying conditional formatting to large datasets, this skill streamlines the transition from raw spreadsheet data to actionable insights and formatted outputs.

Key Features

Automated data cleaning, deduplication, and type normalization
81 GitHub stars
Custom Excel styling and conditional formatting using OpenPyXL
Advanced multi-sheet reading and data merging capabilities
Programmatic pivot table creation and complex data aggregation
Integrated data visualization and chart generation with Matplotlib

Use Cases

Generating automated summary dashboards and visual charts from raw XLSX files
Cleaning and normalizing large datasets with missing values and inconsistent formatting
Consolidating multiple monthly sales spreadsheets into a single master report

About

Key Features

Automated data cleaning, deduplication, and type normalization
81 GitHub stars
Custom Excel styling and conditional formatting using OpenPyXL
Advanced multi-sheet reading and data merging capabilities
Programmatic pivot table creation and complex data aggregation
Integrated data visualization and chart generation with Matplotlib

Use Cases

Generating automated summary dashboards and visual charts from raw XLSX files
Cleaning and normalizing large datasets with missing values and inconsistent formatting
Consolidating multiple monthly sales spreadsheets into a single master report