This project is designed to visualize data using Python and the Dash library. It allows users to choose the type of report he wants to choose on the dataset "US Domestic Airline Flights Performance" and customize interactive plots and dashboards from their data using a web-based interface.

• Python 3
• Dash library
• Plotly library
• Pandas library

• First, make sure that the data is in a format that can be read by Pandas (CSV, Excel, etc.).
• Run the command python dataviz.py in the terminal. This will start the web server and open the app in your browser.
• The app will display a dropdown menu to select the report type, and a dropdown to choose the specific year. Once the options are selected, you will be able to see the plots.
• Plotted plot types:
  -> Line plot
  -> Scatter plot
  -> Bar chart
  -> Histogram
  -> Pie chart
  
• Project Demo : YouTube Link

We welcome contributions to the dash-data-viz! If you find a bug or would like to request a new feature, please open an issue on this repository. If you would like to contribute code, please fork this repository and submit a pull request.

The dash-data-viz is released under the MIT License.