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Data visualization project on USA airlines on-time performance.
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README.md
USA Airport On-time Performance Visualization.ipynb
busiest_airports_Top5.csv
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README.md

Data Visualization Project

Data

The data I propose to visualize for my project is USA airports on-time performance data. It was collected from United States Department of Transportation and preprocessed with Python.

Questions & Tasks

The following tasks and questions will drive the visualization and interaction decisions for this project:

  • What are the top-5 busiest airports in USA? (only consider the domestic flights)
  • How are the top-5 busiest airports perform over time?
  • How does USA flights' on-time performance vary over time?

Sketches

Sketch 1

Using bar chart to show the most busiest airport for each State. Clicking on airport name brings us to top-10 busiest flights for that airport.

Sketch 2

Data is visualized geographically.

Sketch 3

Data is visualized by time to answer question "How does USA carriers' on-time performance vary over time?".

Achievements

  • Map for locations of USA airports.
    • This is a USA map showing the location of all airports in USA.
    • Each circle represents an airport, and hovering on the circle will show the airport name and state.

  • On-time performance of the top-5 busiest airports in USA.
    • This radial chart shows the on-time performance of the top-5 busiest airports in USA. "BUSY" is defined by the total number of domestic flights departure from July 2018 to June 2019.
    • There is an interactive color legend on the top-right corner. Each color reperesents one airport and hovering on a specifit color will bring the corresponding radial chart of this airport.
    • In one radial chart, each angle represents a specific date from 20180701 to 20190630 and the radius shows how long is the average delay at this airport (in minutes).

Future Works

  • Choose a different map, so that I can add Alaska and Hawaii into the map.
  • Add a radius axes on the radial chart, which enables us to read the precise delay time more clearly.
  • Combine the map and radial chart together and build interaction between, clicking on an airport on the map will bring you the corresponding on-time performance radial chart.
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