Introducing DataWiz

Your go to Data Vizualizer.

DataWiz provides a user-friendly interface to visualize data from CSV files. Users can upload a CSV file, choose different types of plots, and customize their data visualization experience. profiles.

Features

• CSV File Upload: Upload any CSV file for visualization.
• Data Preview: Preview the first few rows of the dataset.
• Null Value Filtering: Option to remove rows with null values.
• Data Subsetting: Use a slider to select a subset of the data to plot.
• Various Plot Types: Choose from a variety of plot types including:
  • Scatter Plot
  • Bar Graph
  • Pie Chart
  • Line Chart
  • Histogram
  • Box Plot
  • Heat Map
  • Violin Plot
  • Pair Plot
  • Correlation Matrix
  • Animated Line Chart
• Download Plot: Download the generated plot as a PNG file.

Installation

1. Clone the Repository:

   git clone https://github.com/Data-Vizualizer-app

2. Navigate to the Project Directory:

   cd Data-Vizualizer-app

3. Install the Required Packages: Ensure you have Python installed, then run:

   pip install -r requirements.txt

4. Run the Streamlit App:

   streamlit run app.py

File Structure

📁 your-repo-name
│
├── 📄 app.py               # Main Streamlit application file
├── 📄 requirements.txt     # Python dependencies
└── 📄 README.md            # Project documentation (this file)

Screenshots

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request or open an issue to improve the project.

Contact

• Aditya --> adiroyboy2@gmail.com
• Uditya --> uditmerit@gmail.com