Datadredge License Python Jupyter Notebook HTML

Description Datadredge is a simple data dredging tool built using HTML, Python, and Jupyter Notebook. It provides a convenient way to extract, manipulate, and analyze data from various sources.

This project aims to streamline the data dredging process by combining the power of HTML, Python, and Jupyter Notebook. Whether you need to extract data from websites, CSV files, or databases, Datadredge offers a flexible and easy-to-use solution.

Features Data extraction from websites using web scraping techniques Importing data from CSV files Connecting to databases and extracting data Data cleaning and preprocessing Data visualization Statistical analysis Installation To use Datadredge, please follow these installation steps:

Clone the repository:

bash Copy code git clone https://github.com/Logeshwari25/Datadredge.git Change into the project directory:

bash Copy code cd Datadredge Install the required dependencies. Make sure you have Python 3.7+ installed. It is recommended to use a virtual environment for this:

bash Copy code

Create a virtual environment (optional)

python -m venv venv source venv/bin/activate # For Linux/Mac venv\Scripts\activate # For Windows

Install the dependencies

pip install -r requirements.txt Launch Jupyter Notebook:

bash Copy code jupyter notebook Open the datadredge.ipynb notebook in Jupyter and start exploring the functionality.

License This project is licensed under the MIT License. Feel free to modify and distribute it as per the terms of the license.

Contributing Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request. Let's make Datadredge even better together.

Acknowledgments We would like to thank the open-source community for their contributions and the tools that made this project possible.