Data-processing-and-visualization-

DataCleaning-Transformation-Visualization

"Data science tasks including data cleaning, transformation, and visualization"

Data Cleaning, Transformation, and Visualization Project

This project demonstrates basic data science tasks including data cleaning, transformation, and visualization. The goal is to preprocess a dataset, transform it for analysis, and visualize key features. This project is divided into three main tasks, each with a corresponding Jupyter Notebook.

Project Structure

The repository contains the following files:

• Task1-DataCleaning.ipynb - Notebook for data cleaning.
• Task2-DataTransformation.ipynb - Notebook for data transformation.
• Task3-DataVisualization.ipynb - Notebook for data visualization.
• README.md - Project documentation.

Prerequisites

Before running the notebooks, ensure you have the following libraries installed:

pip install pandas matplotlib seaborn