SQL Data Visualization

A beginner-friendly project that introduces the fundamentals of SQL and demonstrates how to visualize SQL query results using Python and Jupyter Notebooks.

📁 Project Structure

sqldata_visualization/
├── 01_Introduction.ipynb        # Overview of SQL concepts and setup
├── 02_Data_Visualization.ipynb  # Visualizing SQL data using Python libraries
├── Image/
│   └── sql.png                  # Supporting image used in notebooks

📚 Contents

1. 01_Introduction.ipynb
   Introduces the basics of SQL, including database creation, table operations, and simple queries.

2. 02_Data_Visualization.ipynb
   Demonstrates how to:

   • Connect to a database using Python
   • Retrieve SQL data
   • Visualize data using popular libraries like matplotlib, seaborn, or pandas

🛠 Requirements

To run the notebooks, make sure you have the following installed:

• Python 3.x
• Jupyter Notebook or JupyterLab
• SQLite3
• pandas
• matplotlib
• seaborn (if used)

Install dependencies with:

pip install pandas matplotlib seaborn

💡 Usage

1. Clone this repository:

   git clone https://github.com/priyanshuTh/SQL_Visiual.git

2. Navigate to the project folder:

   cd SQL_Visiual

3. Launch Jupyter Notebook:

   jupyter notebook

4. Open the notebooks and follow along.

📷 Preview

📄 License

This project is open-source and available under the MIT License.