Welcome to the Data Insights Analytics project named StatEmpower! We're glad you're here. This project is designed for a team of 4 to collaborate and work together on analyzing data and uncovering meaningful insights from it.
You will need to have Python and its libraries installed on your computer to run this project. Here's a list of the libraries you'll need:
Numpy Pandas Matplotlib Seaborn You can install these libraries using the following command in your terminal or command prompt:
pip install numpy pandas matplotlib seaborn Running the Code The main entry point to the code is the main.py file. You can run this file using the following command in your terminal or command prompt:
css python main.py The code will perform the following tasks:
Load the data into a Pandas DataFrame Clean and preprocess the data Perform exploratory data analysis (EDA) to gain insights into the data Plot various graphs and visualizations to visualize the insights Save the plots to disk
We welcome contributions from the community! If you'd like to contribute to this project, here's what you need to know:
The codebase is organized into modules and functions, making it easy to understand and contribute to. Each module or function should have clear documentation to explain what it does. The code should be well-commented and written in a readable style. Before making a contribution, please make sure to open an issue or discuss the change you'd like to make with the team.
We hope you find this project useful and enjoy working with it. If you have any questions or feedback, please feel free to reach out to us. We're always here to help. Happy coding!