csv_analyzer

CSV Data Analyzer - Python Job Simulation

📌 Challenge Description

This project processes and analyzes CSV files using Python, simulating real-world data analysis tasks.

✅ Features:

• Accepts a CSV file as input.
• Displays dataset summary (rows, columns, column names, data types).
• Provides numeric column statistics (mean, median, min, max, std deviation).
• Handles missing values (identifies & fills/drops them).

🛠️ Technologies Used

• Python 3.x
• pandas
• argparse

🚀 How to Run This Script

1. Install dependencies:

   pip install pandas

2. Run the script with a CSV file: python csv_analyzer.py sample_data.csv

📈 What I Learned
Using pandas for data analysis.
Handling missing values in datasets.
Implementing command-line arguments with argparse.

📂 File Structure
📦 csv_analyzer  
 ┣ 📜 csv_analyzer.py  # Main script  
 ┣ 📜 README.md        # Documentation  
 ┣ 📜 sample_data.csv  # Example dataset