Welcome to the Data Visualization and Modeling Examples Repository! This repository contains a collection of Jupyter notebooks showcasing various data visualizations and models.

The repository is organized as follows:

• /dataVizmodels: This directory contains Jupyter notebooks that demonstrate different data visualization techniques and modeling approaches. Each notebook is self-contained and provides step-by-step explanations and code examples.

To explore the notebooks and run the code examples locally, follow these steps:

1. Clone the repository to your local machine using the following command:

   git clone https://github.com/Scoubershare/dataVizmodels.git
   

2. Install the necessary dependencies by running:

   pip install -r requirements.txt
   

3. Navigate to the /notebooks directory and open the desired notebook using Jupyter.

4. Run the notebook cells sequentially to understand the visualization techniques and models presented. Feel free to modify the code or experiment with different datasets to enhance your understanding.

5. Remember to save any modifications you make to the notebooks before closing them.

Contributions to this repository are welcome! If you have any ideas for new visualization examples or models, feel free to submit a pull request. Please ensure that your contributions adhere to the following guidelines:

• Each notebook should focus on a specific data visualization or modeling concept.
• Include clear explanations and comments to help others understand the code.
• Provide sample datasets or instructions on how to obtain them if needed.

The content of this repository is licensed under the MIT License. You are free to use, modify, and distribute the code examples for personal or commercial purposes.

If you have any questions, suggestions, or encounter any issues while using this repository, please open an issue. We appreciate your feedback and will respond as soon as possible.

Happy data visualizing and modeling!