Data exploration

This is a repository showing the data exporation techniques that we as a team are exploring to make the data anaysis and manipulation and easier task.

Table of Contents

• Prerequisites
• Setting Up the Environment
• Installing Requirements
• Usage
• Contributing
• License

Prerequisites

Before you begin, ensure you have the following installed:

• Python (version 3.8 or higher)
• pip (Python package installer)

Setting Up the Environment

1. Clone the repository:

   git clone https://github.com/bytecodediary/data-exploration.git

   cd data-exploration
   

2. Create a virtual environment:

You can use venv to create a virtual environment. Run the following command:

python -m venv venv

This will create a directory named venv in your project folder.

Activate the virtual environment:

On Windows:

venv\Scripts\activate

On macOS and Linux:

        source venv/bin/activate

After activation, your command prompt should change to indicate that the virtual environment is active.

Installing Requirements

Once your virtual environment is activated, you can install the required packages listed in requirements.txt:

pip install -r requirements.txt

This command will install all the dependencies specified in the requirements.txt file.