Dash application: US Domestic Airline Flights Performance

Final Assignment

In this Assignment, pandas, dash and ploty librearies were requiered to make a dashboard to monitor and report US domestic airline flights performance and yearly average flight delay statistics for a given year ( 2005 to 2020). Goal is to analyze the perfomance of the reporting airline to improve flight reliability thereby improving customer relaibility.

Components of the report items:

1. Yearly airline performance report

   For the chosen year provide,

   • Number of flights under different cancellation categories using bar chart.
   • Average flight time by reporting airline using line chart.
   • Percentage of diverted airport landings per reporting airline using pie chart.
   • Number of flights flying from each state using choropleth map.
   • Number of flights flying to each state from each reporting airline using treemap chart.

2. Yearly average flight delay statistics

   For the chosen year provide,

   • Monthly average carrier delay by reporting airline for the given year.
   • Monthly average weather delay by reporting airline for the given year.
   • Monthly average natioanl air system delay by reporting airline for the given year.
   • Monthly average security delay by reporting airline for the given year.
   • Monthly average late aircraft delay by reporting airline for the given year.

Requirements to create the dashboard

• Create dropdown using the reference here
• Create two HTML divisions that can accomodate two components (in one division) side by side. One is HTML heading and the other one is dropdown.
• Add graph components.
• Callback function to compute data, create graph and return to the layout.