source("nycflights13_ver04.R")
Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 336776 obs. of 4 variables:
$ month : Factor w/ 12 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
$ day : Factor w/ 31 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
$ hour : Factor w/ 20 levels "1","5","6","7",..: 2 2 2 2 3 2 3 3 3 3 ...
$ minute: Factor w/ 60 levels "0","1","2","3",..: 16 30 41 46 1 59 1 1 1 1 ...
- attr(*, ".internal.selfref")=<externalptr>
library(pacman)
p_load(tidyverse, visdat, naniar, DataExplorer)
Test out how to use the output of the R script in the notebook.
final_nycflights13a <- readRDS("data/final_nycflights13.Rds")
count(final_nycflights13)