✅ Python Project Excel Report Generator

 

✅ Python Project Excel Report Generator 📊⚡

📌 Problem Statement:
Create a Python script that takes raw data and automatically generates a neat Excel report. Perfect for automating monthly sales, inventory updates, or analytics reports.

🧠 What You’ll Learn

  • How to use pandas & openpyxl

  • Data cleaning and summarizing

  • Writing multiple sheets in Excel

  • Basics of report automation

✅ Python Code

import pandas as pd  

# 1. Read raw data from CSV  
df = pd.read_csv("sales_data.csv")  

# 2. Summarize data (example: total sales by region)  
summary = df.groupby("Region")["Sales"].sum().reset_index()  

# 3. Save results into Excel with multiple sheets  
with pd.ExcelWriter("sales_report.xlsx", engine="openpyxl") as writer:  
    df.to_excel(writer, index=False, sheet_name="Raw Data")  
    summary.to_excel(writer, index=False, sheet_name="Summary")

📤 What This Script Does

  1. Loads your CSV file

  2. Creates a summary (like sales by region)

  3. Exports results into Excel with multiple sheets

🛠️ Requirements

pip install pandas openpyxl

🔧 Try Improving It

  • Add conditional formatting (highlight top sales)

  • Insert charts/graphs using xlsxwriter

  • Schedule it to run weekly or monthly

💡 Real-World Use Cases

✅ Monthly sales reports
✅ Automated client deliverables
✅ Inventory or finance tracking

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