Python Module End Project

This project analyzes the ABC Company employee dataset using Python.

📊 Key Tasks

• Data preprocessing (cleaning missing and inconsistent values)
• Height values replaced with random numbers between 150–180 cm
• Employee distribution by Team and Position
• Predominant Age Group analysis
• Salary expenditure by Team and Position
• Correlation analysis between Age and Salary
• Visualizations using Matplotlib and Seaborn

🧠 Tools Used

• Python (Pandas, NumPy)
• Matplotlib
• Seaborn

📁 Files Included

• Python_Module_End_Project.ipynb — main notebook
• ABC.csv.csv — dataset

📈 Outcome

A complete data report showing patterns in ABC Company’s workforce and salary structure.