Does it support both .xlsx and older .xls formats?

Yes, it leverages engines like openpyxl for modern .xlsx files and xlrd for legacy .xls files.

Which Python libraries does this skill use?

It primarily utilizes Pandas for data manipulation, Openpyxl and Xlsxwriter for Excel formatting, and Matplotlib for visualization.

Can I use this for large Excel files?

Yes, the skill includes performance tips such as using chunksize and column selection (usecols) to handle large datasets efficiently.

Can this skill create charts and visualizations?

Absolutely. It provides specific implementation patterns for generating bar charts, pie charts, and other visualizations using Matplotlib based on spreadsheet data.

Excel Data Analysis & Reporting

Name: Excel Data Analysis & Reporting
Author: Microck

byMicrock

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데이터 과학 및 ML

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

소개

This skill equips Claude with the expertise to handle complex Excel workflows using industry-standard Python libraries like Pandas and Openpyxl. It streamlines tasks such as processing multi-sheet workbooks, generating dynamic pivot tables, cleaning messy datasets, and creating formatted reports with conditional styling and visual charts. Whether you are merging disparate sales data or building automated financial dashboards, this skill provides the implementation patterns needed for efficient spreadsheet management and data-driven insights.

주요 기능

Data visualization with bar charts, pie charts, and trend analysis
Efficient handling of large datasets using performance-optimized reading methods
81 GitHub stars
Advanced data cleaning and type conversion for messy spreadsheets
Automated pivot table generation and multi-sheet processing
Professional Excel formatting with conditional styling and auto-sizing

사용 사례

Merging multiple quarterly sales reports into a single consolidated workbook
Cleaning and preprocessing raw Excel data for machine learning models
Generating automated monthly financial dashboards with charts and formatting

소개

주요 기능

Data visualization with bar charts, pie charts, and trend analysis
Efficient handling of large datasets using performance-optimized reading methods
81 GitHub stars
Advanced data cleaning and type conversion for messy spreadsheets
Automated pivot table generation and multi-sheet processing
Professional Excel formatting with conditional styling and auto-sizing

사용 사례

Merging multiple quarterly sales reports into a single consolidated workbook
Cleaning and preprocessing raw Excel data for machine learning models
Generating automated monthly financial dashboards with charts and formatting