Does it support older .xls file formats?

Yes, it provides guidance on using engines like xlrd to ensure compatibility with older Excel file formats.

Does this skill require Microsoft Excel to be installed?

No, this skill uses Python libraries like pandas and openpyxl to process .xlsx files directly, meaning it can run in any environment without the Excel desktop application.

Can I create visual charts using this skill?

Absolutely. It includes patterns for generating various chart types like bar and pie charts using matplotlib based on your spreadsheet data.

Can I handle very large Excel files with this skill?

Yes, it includes performance optimization tips such as using chunksize for reading large datasets and usecols to minimize memory usage.

Is it possible to format cells and apply colors?

Yes, the skill demonstrates how to use openpyxl for advanced formatting, including conditional styling, bolding headers, and setting column widths.

Excel Analysis

Name: Excel Analysis
Author: Microck

byMicrock

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Ciencia de Datos y ML

Automates Excel spreadsheet manipulation, data analysis, and professional reporting using Python-based data science libraries.

Acerca de

This Claude Code skill provides specialized patterns for programmatically handling Excel files, enabling developers to automate complex spreadsheet tasks with ease. It covers a wide range of capabilities from basic data reading and cleaning to advanced operations like pivot table creation, multi-sheet merging, and conditional formatting. By leveraging industry-standard libraries like pandas and openpyxl, it allows users to transform raw tabular data into formatted, insightful reports and visualizations without manual intervention.

Características Principales

81 GitHub stars
Programmatic data cleaning and type conversion for messy spreadsheets
Automated pivot table generation and multi-dimensional data aggregation
Professional Excel formatting including conditional styles and auto-sizing
Visual chart generation using matplotlib directly from workbook data
Efficient multi-sheet processing and vertical/horizontal file merging

Casos de Uso

Merging and cleaning disparate Excel data sources for data warehousing and ML pipelines
Automating the generation of weekly financial reports with custom charts and formatting
Building automated data validation tools to identify and fix errors in large workbooks

Acerca de

Características Principales

81 GitHub stars
Programmatic data cleaning and type conversion for messy spreadsheets
Automated pivot table generation and multi-dimensional data aggregation
Professional Excel formatting including conditional styles and auto-sizing
Visual chart generation using matplotlib directly from workbook data
Efficient multi-sheet processing and vertical/horizontal file merging

Casos de Uso

Merging and cleaning disparate Excel data sources for data warehousing and ML pipelines
Automating the generation of weekly financial reports with custom charts and formatting
Building automated data validation tools to identify and fix errors in large workbooks