nycflights

library(nycflights13)


library(tidyverse)
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head(flights)
# A tibble: 6 × 19
   year month   day dep_time sched_dep_time dep_delay arr_time sched_arr_time
  <int> <int> <int>    <int>          <int>     <dbl>    <int>          <int>
1  2013     1     1      517            515         2      830            819
2  2013     1     1      533            529         4      850            830
3  2013     1     1      542            540         2      923            850
4  2013     1     1      544            545        -1     1004           1022
5  2013     1     1      554            600        -6      812            837
6  2013     1     1      554            558        -4      740            728
# ℹ 11 more variables: arr_delay <dbl>, carrier <chr>, flight <int>,
#   tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>,
#   hour <dbl>, minute <dbl>, time_hour <dttm>
origin_distance <- flights %>%
  group_by(origin) %>%
  summarize(
    average_distance = mean(distance, na.rm = TRUE)
  )
ggplot(flights, aes(x = origin, y = distance, fill = origin)) +
  geom_boxplot() +
  labs(
    title = "Flight Distance by Origin",
    x = "Flight Origin",
    y = "Distance (miles)",
    fill = "Flight Origin",
    caption = "Data source: NYC Flights dataset"
  ) +
  theme_minimal()