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README.md

40 - Excel Data Extractor

Python Difficulty: Intermediate Phase

What It Does

Extracts and processes data from Excel spreadsheets using Pandas with filtering, column selection, and multi-format export.

Run It

pip install -r requirements.txt
python extractor.py

Core Concepts

  • pandas.read_excel() for spreadsheet parsing
  • DataFrame filtering and selection
  • Data type conversion and cleaning
  • Export to CSV and JSON
  • Summary statistics generation

What You Will Learn

You will learn how to process Excel data programmatically and perform transformations with Pandas.

Project Structure

40-excel-extractor/
  README.md
  extractor.py
  requirements.txt

Prerequisites

Install the required packages before running:

pip install pandas, openpyxl

Example Output

Excel Data Extractor
--------------------
Loaded: sales_data.xlsx
Sheets found: ['Q1', 'Q2', 'Q3', 'Q4']
Total rows: 1,240

Summary Statistics:
  Total Revenue: $2,340,000
  Average Order: $1,887
  Top Product: Widget Pro (342 orders)

Exported to: output.csv