Assignment 5

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) %>% 
  distinct()

head(q1)

## # A tibble: 4 × 3
##   tailnum manufacturer         model      
##   <chr>   <chr>                <chr>      
## 1 N711MQ  GULFSTREAM AEROSPACE G1159B     
## 2 N737MQ  CESSNA               172N       
## 3 N840MQ  CANADAIR LTD         CF-5D      
## 4 N713EV  BOMBARDIER INC       CL-600-2C10

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

q2 <- flights %>%
  left_join(airlines, by = "carrier") %>%
  select(flight, airline_name = name)
head(q2)

## # A tibble: 6 × 2
##   flight airline_name          
##    <int> <chr>                 
## 1   1545 United Air Lines Inc. 
## 2   1714 United Air Lines Inc. 
## 3   1141 American Airlines Inc.
## 4    725 JetBlue Airways       
## 5    461 Delta Air Lines Inc.  
## 6   1696 United Air Lines Inc.

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

q3 <- airports %>%
  left_join(flights, by = c("faa" = "origin")) %>%
  filter(is.na(flight))  %>%
  select(name) %>%            
  distinct()
head(q3)

## # A tibble: 6 × 1
##   name                          
##   <chr>                         
## 1 Lansdowne Airport             
## 2 Moton Field Municipal Airport 
## 3 Schaumburg Regional           
## 4 Randall Airport               
## 5 Jekyll Island Airport         
## 6 Elizabethton Municipal Airport