Can Claude help with Excel cell formatting?

Yes, the skill covers advanced formatting such as conditional styling, bolding headers, and auto-adjusting column widths using the openpyxl library.

Does this skill support older .xls files?

Yes, it includes implementation guidance for using the xlrd engine to process legacy Excel formats alongside modern .xlsx files.

How does this skill handle large Excel datasets?

The skill includes performance optimization tips such as using chunksize for large files and the usecols parameter to minimize memory usage.

Can I generate charts and visualizations with this skill?

Absolutely. It provides specific patterns for creating bar charts, pie charts, and other visualizations directly from Excel data using Matplotlib.

Excel Analysis

Name: Excel Analysis
Author: Microck

byMicrock

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Ciencia de Datos y ML

Analyzes Excel spreadsheets, generates pivot tables, and creates data visualizations using Python libraries like pandas and openpyxl.

Acerca de

This skill empowers Claude to perform sophisticated data manipulation and analysis on Excel files including .xlsx and .xls formats. It provides standardized patterns for reading multiple sheets, cleaning messy data, performing complex aggregations, and generating visual reports with charts. Whether you need to automate recurring report generation, merge disparate workbooks, or apply conditional formatting programmatically, this skill provides the domain-specific guidance to handle spreadsheet data efficiently within your coding environment.

Características Principales

Advanced formatting including conditional styles and auto-adjusting columns
Automated Excel file reading and multi-sheet processing
81 GitHub stars
Comprehensive data cleaning and type conversion workflows
Programmatic pivot table generation and data aggregation
Visual chart generation using Matplotlib and pandas

Casos de Uso

Creating automated data validation scripts to identify errors in tabular data
Automating monthly financial report generation from raw spreadsheet exports
Cleaning and merging multiple supplier spreadsheets into a unified master database

Acerca de

Características Principales

Advanced formatting including conditional styles and auto-adjusting columns
Automated Excel file reading and multi-sheet processing
81 GitHub stars
Comprehensive data cleaning and type conversion workflows
Programmatic pivot table generation and data aggregation
Visual chart generation using Matplotlib and pandas

Casos de Uso

Creating automated data validation scripts to identify errors in tabular data
Automating monthly financial report generation from raw spreadsheet exports
Cleaning and merging multiple supplier spreadsheets into a unified master database