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https://github.com/lu-sketch/chocolate-imports-dataset
Chocolate Imports for South Africa
https://github.com/lu-sketch/chocolate-imports-dataset
data eda visualization
Last synced: about 2 months ago
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Chocolate Imports for South Africa
- Host: GitHub
- URL: https://github.com/lu-sketch/chocolate-imports-dataset
- Owner: lu-sketch
- Created: 2022-08-24T10:38:49.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-15T19:33:35.000Z (8 months ago)
- Last Synced: 2024-05-16T07:05:30.536Z (8 months ago)
- Topics: data, eda, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 3.51 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# EDA Analysis for Chocolate Imports
## Overview
This project performs an Exploratory Data Analysis (EDA) on a dataset containing information about chocolate imports into South Africa. The analysis aims to uncover insights and trends within the data.
## Table of Contents
1. [Project Description](#project-description)
2. [Files in the Repository](#files-in-the-repository)
3. [Technologies Used](#technologies-used)
4. [Installation and Usage](#installation-and-usage)
5. [License](#license)
6. [Contact](#contact)
## Project Description
This project involves performing EDA on a dataset of chocolate imports into South Africa. The analysis is done using Jupyter Notebook, leveraging various Python libraries for data manipulation and visualization.
## Files in the Repository
- `chocs.csv`: The source file containing the dataset of chocolate imports.
- `Chocolate_EDA.ipynb`: The Jupyter Notebook file where the EDA is performed.
- `EDA.docx`: A document that provides a detailed description of the dataset and the findings from the EDA.
## Technologies Used
- **Google Colaboratory**: For running the Jupyter Notebook in an online environment.
- **Pandas**: For data manipulation and analysis.
- **Seaborn**: For creating visualizations.
- **Matplotlib**: For plotting graphs.
- **NumPy**: For numerical computations.
## Installation and Usage
To run this project locally, follow these steps:
1. **Clone the Repository**:
```bash
git clone https://github.com/your-username/chocolate-imports-eda.git
cd chocolate-imports-eda
```
2. **Install Required Libraries**:
Ensure you have the required libraries installed. You can install them using pip:
```bash
pip install pandas seaborn matplotlib numpy
```
3. **Open the Jupyter Notebook**:
You can run the notebook locally using Jupyter Notebook or Jupyter Lab:
```bash
jupyter notebook Chocolate_EDA.ipynb
```
4. **Explore the EDA**:
Follow the steps in the notebook to understand the analysis performed on the chocolate imports data.
## License
This project is licensed under the MIT License. See the `LICENSE` file for details.
## Contact
For any questions or feedback, feel free to contact me:
- **Email**: [email protected]
- **GitHub**: [lu-sketch](https://github.com/lu-sketch)