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
- Clone this repository:
git clone https://github.com/your_username/Data-Analytics-Project.git
- Navigate to the project directory:
cd Data-Analytics-Project
- 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.