library(nycflights13) library(tidyverse)

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 <- flights %>% filter(origin == “LGA” & dest == “XNA”) %>% left_join(planes, by = “tailnum”)

lga_to_xna_flights

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

flights_with_airline <- flights %>% left_join(airlines, by = “carrier”)

flights_with_airline

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

airports_with_no_flights <- airports %>% anti_join(flights, by = c(“faa” = “dest”)) %>% select(faa, name) %>% distinct() airports_with_no_flights

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

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