Excel Analysis

Read, analyze, and transform Excel spreadsheets with pandas, pivot tables, charts, and data cleaning. Read Excel files with pandas: Process all sheets in a workbook: Perform common analysis tasks: Write data to Excel with formatting: Create pivot tables programmatically: Generate charts from Excel data: Clean and prepare Excel data: Combine multiple Excel files: Apply conditional formatting and styles: - Supports reading single or multiple sheets, filtering, grouping, aggregating, and calculating derived metrics on tabular data - Create pivot tables programmatically and generate bar, pie, and other chart visualizations using matplotlib - Write formatted Excel files with auto-adjusted column widths, conditional formatting, bold headers, and color fills using openpyxl - Merge and concatenate multiple Excel files, handle missing values, remove duplicates, and convert data types for data preparation - Includes performance optimization options like column selection, chunked reading for large files, and engine selection for different file formats - Use read_excel with usecols to read specific columns only - Use chunksize for very large files - Consider using engine='openpyxl' or engine='xlrd' based on file type - Use dtype parameter to specify column types for faster reading - pandas - Data analysis and manipulation (primary) - openpyxl - Excel file creation and formatting - xlrd -...