DataDash

DataDash is a powerful data exploration tool, enabling users to analyze datasets through dynamic line plots. With DataDash, users can effortlessly visualize data trends and patterns, gaining valuable insights with just a few clicks.

Description

DataDash provides a user-friendly interface for uploading CSV, Excel, or JSON data files and generating interactive line plots. Users can select the columns for the x and y axes, choose specific rows to include, and customize the plot with various formatting options.

Features

• Upload data files (CSV, Excel, JSON)
• Select columns for x and y axes
• Choose rows to include in the plot
• Interactive legend and axis labels
• Responsive layout for optimal viewing.

Installation

1. Clone the repository:

   git clone https://github.com/yashjainme/datadash.git

2. Navigate to the project directory:

   cd datadash

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. Upload your data file using the file uploader.

3. Select the desired columns and rows for the plot.

4. Explore the interactive line plot visualization.

Contributing

Contributions are welcome! If you encounter any issues or have suggestions for improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Acknowledgments

• Streamlit for the amazing data visualization framework.
• Pandas for data manipulation and analysis.
• Matplotlib for creating the line plot visualizations.