Assignment 5

library(tidyverse)  

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library(nycflights13)

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

q1 <- inner_join(flights, planes, by = 'tailnum') %>%
  filter(origin == 'LGA', dest == 'XNA')

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

q2 <- inner_join(flights, airlines, by = 'carrier')

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

commercial_airports <- flights%>%
  select(origin)%>%
  distinct()%>%
  rename(faa= origin)

q3 <- anti_join(airports, commercial_airports, by = 'faa')

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

q5 <- weather %>%
  filter(wind_speed> 30)%>%
  select(origin)%>%
  distinct()%>%
  inner_join(airports, by = c('origin'= 'faa'))%>%
  select(name)%>%
  distinct()