Data Visualization Dashboard

This project is a data visualization dashboard that displays visual representations of data using the Plotly library in Python. It provides a simple and interactive way to explore and analyze data.

Features

• Bar chart: Displays data categorized by a specific attribute.
• Line chart: Shows the trend of a specific value over time.

Getting Started

Prerequisites

To run the dashboard, you'll need to have the following installed:

• Python 3
• Plotly
• Pandas
• Dash
• Dash Core Components

Installation

1. Clone the repository:

   git clone https://github.com/PralinKhaira/data-visualization-dashboard.git
   

2. Change into the project directory:

   cd data-visualization-dashboard
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

Usage

1. Prepare your data:

   • Ensure that your data is in the required format (e.g., CSV, Excel, or database).
   • Modify the code to read the data from your specific data source.

2. Run the dashboard:

   python dashboard_app.py
   

3. Open your web browser and go to http://localhost:8050/ to access the dashboard.

Customization

• Modify the visualization code in dashboard_app.py to suit your specific data and visualization requirements.
• Add additional charts or visualizations using the Plotly library.
• Customize the layout and styling of the dashboard using HTML and CSS.

License

This project is licensed under the MIT License.

Acknowledgements

• Plotly - Python graphing library used for creating the visualizations.
• Pandas - Data manipulation library for Python.
• Dash - Framework for building analytical web applications.
• Dash Core Components - Set of Dash components for building interactive user interfaces.