Assignment5

library(nycflights13)
library(tidyverse)

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use the below code to look at the data - DO NOT ADD VIEW STATEMENTS TO RMARKDOWN

View(flights)
View(airlines)
View(weather)
View(planes)
View(airports)

Create the code makes a table for each of the below questions.

1. join + filter - Which airplanes fly LGA to XNA (1 POINT)

lga_to_xna <- flights %>%
  filter(origin == "LGA", dest == "XNA") %>%
  select(tailnum) %>%
  distinct()

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

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

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

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

4. 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) %>%
  inner_join(airports, by = c("origin" = "faa")) %>%
  select(name) %>%
  distinct()