Data Cleaning and Purification with Python

# Introduction

In this project, you will learn how to clean and purify CSV data by removing incomplete, incorrect, and invalid data. The goal is to create a clean dataset from the raw data, which can be used for further analysis or processing.

## 🎯 Tasks

In this project, you will learn:

- How to set up the project environment and prepare the necessary files
- How to import the required libraries for data cleaning
- How to read and process the raw data, checking for various types of dirty data
- How to write the cleaned data to a new CSV file

## 🏆 Achievements

After completing this project, you will be able to:

- Use Python and its standard library to work with CSV data
- Apply techniques for validating and cleaning data, such as checking for missing values, invalid formats, and unrealistic data
- Implement a data cleaning process to create a high-quality dataset
- Generate a new CSV file with the cleaned data