🧹 Data Wrangling using Python

📖 Overview

Data Wrangling (also known as Data Munging) is the process of cleaning, structuring, and transforming raw data into a usable format for analysis.
This project demonstrates how to perform data wrangling in Python using Pandas — covering tasks like handling missing values, removing duplicates, and feature engineering.

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🚀 Features

• Handle missing and inconsistent data
• Convert string values to numeric types
• Remove duplicate records
• Add new derived columns (feature engineering)
• Prepare clean data for analysis or machine learning

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🐍 Technologies Used

• Python 3.x
• Pandas

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Checkout my blog on how to implement Data Wrangling using Python:

Mastering Data Wrangling in Python: Clean, Transform & Unlock Hidden Insights