This repository contains a Data Analytics project implemented from scratch using Python along with popular libraries such as NumPy, Pandas, and Matplotlib.

The purpose of this project is to demonstrate the end-to-end process of a typical data analytics project, from data acquisition to analysis and visualization. By following this project, you'll learn how to:

• Import data into Python using Pandas
• Clean and preprocess the data
• Perform exploratory data analysis (EDA)
• Visualize the data using Matplotlib
• Draw insights and make data-driven decisions

Make sure you have the following dependencies installed:

• Python 3.x
• NumPy
• Pandas
• Plotly

You can install the dependencies using the following command:

pip install numpy pandas matplotlib

1. Clone this repository:

git clone https://github.com/your_username/Data-Analytics-Project.git

2. Navigate to the project directory:

cd Data-Analytics-Project

3. Run the Python script:

python data_analytics.py

Data-Analytics-Project/ │ ├── data/ │ └── dataset.csv │ ├── README.md └── data_analytics.py

• data/: Directory containing the dataset(s) used in the project.
• data_analytics.py: Python script implementing the data analytics project.
• README.md: This file, containing information about the project and instructions.

Contributions are welcome! If you find any issues or have suggestions for improvements, feel free to open an issue or create a pull request.

This project is licensed under the MIT License - see the LICENSE file for details.