multi-sheet-reading-and-analysis

To automate reading and cleaning large multi-sheet Excel files, this Skill extracts data using pandas and openpyxl, applies regex-based Chinese character extraction, and converts sizable datasets to Parquet format for faster processing.

To analyze sales trends and generate visualizations from Excel data, this Skill performs linear regression to identify trends and generates visual plots with trend lines using matplotlib for detailed reporting and presentation insights.

This Excel data analysis workflow supports files with over 10,000 rows by converting sizable Excel files to Parquet format, which optimizes performance and enables faster processing of large datasets.

You can use this Skill for end-to-end Excel report generation as it utilizes numpy and matplotlib to produce styled Excel reports with highlights and visual plots, automating the entire workflow from data retrieval to presentation.

To extract Chinese text data from multi-sheet Excel files for analysis, the Skill performs regex-based Chinese character extraction during the data cleaning phase to prepare raw data for subsequent processing.

When using pandas for big data Excel visualization and report generation, limitations arise with large files, which this Skill addresses by converting Excel data to Parquet format to optimize performance for datasets exceeding 10,000 rows.