Data Analysis with Python

• This repository contains the code and data for a project on data wrangling with Python.
• The project was created as part of a workshop on data analysis with Python.

Learning Outcomes

Through this project, I learned the following:

• Basics of Python programming
• Data analysis concepts and techniques
• Pandas library for data manipulation
• Matplotlib library for data visualization

Project Overview

• The project involves cleaning, transforming, and analyzing 3-4 types of datasets.
• The goal is to prepare the data for further analysis and insights.

Project Structure

The project is organized into the following files:

• data.csv: The food dataset
• data_wrangling.ipynb: The Jupyter notebook containing the data wrangling code

Instructions

• To run the data wrangling code, you will need to have Python and the Pandas and Matplotlib libraries installed.
• Once you have the necessary dependencies, you can open the notebook in a Jupyter Notebook environment and run the cells to execute the code.

Contributions

This project is open to contributions. Feel free to submit pull requests with improvements or additions to the code.