Setup

library(nycflights13)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.2
## ✔ ggplot2   4.0.0     ✔ tibble    3.3.0
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.1.0     
## ── 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

Question 1, Join + filter - Which airplanes fly LGA to XNA (1 POINT)

Q1 <- flights %>%
  filter(origin == "LGA" & dest == "XNA") %>%
  inner_join(planes, by = "tailnum") %>%
  select(tailnum, manufacturer, model, origin, dest) %>%
  distinct()

Question 2, join - Add the airline name to the flights table (1 POINT)

flights_with_airlines <- flights %>%
  left_join(airlines, by = "carrier")

Question 3 join + select + distinct() - Which airports have no commercial flights (1 POINT)

no_flights_airports <- airports %>%
  anti_join(flights, by = c("faa" = "dest")) %>%
  select(faa, name) %>%
  distinct()

Extra Credit, (2 POINT2) - NO HELP - NO PARTIAL CREDIT, Create a table with the names of the airports with the most, winds (wind_speed > 30). The table must contain only the airport,name (airports$name) and no duplicate rows

windy_airports <- weather %>%
  filter(wind_speed > 30) %>%
  left_join(airports, by = c("origin" = "faa")) %>%
  select(name) %>%
  distinct()