https://github.com/gaurav0502/us-domestic-flights

Source files for EDAV final project.
https://github.com/gaurav0502/us-domestic-flights

anyflights aviation-data dplyr exploratory-data-analysis ggplot2 r-studio

Last synced: 3 days ago
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Source files for EDAV final project.

• Host: GitHub
• URL: https://github.com/gaurav0502/us-domestic-flights
• Owner: Gaurav0502
• Created: 2024-11-15T19:55:46.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-12-11T10:26:41.000Z (11 days ago)
• Last Synced: 2024-12-11T11:32:13.997Z (11 days ago)
• Topics: anyflights, aviation-data, dplyr, exploratory-data-analysis, ggplot2, r-studio
• Language: R
• Homepage:
• Size: 1.57 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Analysis of NYC domestic flights in 2023

## Aim

An analysis of the on-time performance of all the NYC domestic flights within the United States in 2023 with following objectives:

1. To investigate the various reasons for delays.

   

2. To understand the geospatial patterns in the delays.

3. To analyse time-series patterns in the delays.

## Data

The `anyflights()` from the `anyflights` package is used to obtain data of the domestic flights such that:

- the flights that depart from or arrive at any of the airports that serve NYC region (i.e. LGA, JFK, EWR).

  

- the flights that were scheduled for throughout 2023.

The steps to download the data are explained in [data/README.md](https://github.com/Gaurav0502/us-domestic-flights/tree/main/data).

## Important Links

Rendered Quarto book: https://gaurav0502.github.io/us-domestic-flights/

## References

- `anyflights`: https://cran.r-project.org/web/packages/anyflights/anyflights.pdf