Assignment #5A

Assignment #5A

Pre Coding- Approach

The approach for this assignment is pretty self explanatory but I first plan on copying the core data onto an Excel sheet and save as a CSV. Which i will load to R, I plan to collect the data. Then use the tidyverse function pivot_longer to set the table as a long format. I doubt tit will be clean at that stage so I will use filter + mutate to make additional columns that separate the value by on time and delayed as seen by the wide table given. Then finally create charts to express the % on time arrival for both airlines.

library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   4.0.0     ✔ tibble    3.2.1
✔ lubridate 1.9.4     ✔ tidyr     1.3.1
✔ purrr     1.0.4     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors