https://github.com/gaurav0502/us-domestic-flights
Source files for EDAV final project.
https://github.com/gaurav0502/us-domestic-flights
anyflights aviation-data d3js dplyr exploratory-data-analysis geospatial ggplot2 on-time-performance r-studio time-series
Last synced: 2 months 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 (5 months ago)
- Default Branch: main
- Last Pushed: 2024-12-15T03:15:28.000Z (4 months ago)
- Last Synced: 2024-12-19T19:17:30.171Z (4 months ago)
- Topics: anyflights, aviation-data, d3js, dplyr, exploratory-data-analysis, geospatial, ggplot2, on-time-performance, r-studio, time-series
- Language: JavaScript
- Homepage:
- Size: 11.9 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