Assignment 5

library(nycflights13)
library(tidyverse)

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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") %>%      
  inner_join(planes, by = "tailnum") %>%          
  select(tailnum, manufacturer, model)
# Display the result
lga_to_xna_flights

## # A tibble: 66 × 3
##    tailnum manufacturer         model 
##    <chr>   <chr>                <chr> 
##  1 N711MQ  GULFSTREAM AEROSPACE G1159B
##  2 N711MQ  GULFSTREAM AEROSPACE G1159B
##  3 N711MQ  GULFSTREAM AEROSPACE G1159B
##  4 N711MQ  GULFSTREAM AEROSPACE G1159B
##  5 N711MQ  GULFSTREAM AEROSPACE G1159B
##  6 N737MQ  CESSNA               172N  
##  7 N737MQ  CESSNA               172N  
##  8 N711MQ  GULFSTREAM AEROSPACE G1159B
##  9 N711MQ  GULFSTREAM AEROSPACE G1159B
## 10 N840MQ  CANADAIR LTD         CF-5D 
## # ℹ 56 more rows

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

flights_with_airline <- flights %>%
  inner_join(airlines, by = "carrier") %>%  
  select(flight, carrier, name, everything())
# Display the result
flights_with_airline

## # A tibble: 336,776 × 20
##    flight carrier name        year month   day dep_time sched_dep_time dep_delay
##     <int> <chr>   <chr>      <int> <int> <int>    <int>          <int>     <dbl>
##  1   1545 UA      United Ai…  2013     1     1      517            515         2
##  2   1714 UA      United Ai…  2013     1     1      533            529         4
##  3   1141 AA      American …  2013     1     1      542            540         2
##  4    725 B6      JetBlue A…  2013     1     1      544            545        -1
##  5    461 DL      Delta Air…  2013     1     1      554            600        -6
##  6   1696 UA      United Ai…  2013     1     1      554            558        -4
##  7    507 B6      JetBlue A…  2013     1     1      555            600        -5
##  8   5708 EV      ExpressJe…  2013     1     1      557            600        -3
##  9     79 B6      JetBlue A…  2013     1     1      557            600        -3
## 10    301 AA      American …  2013     1     1      558            600        -2
## # ℹ 336,766 more rows
## # ℹ 11 more variables: arr_time <int>, sched_arr_time <int>, arr_delay <dbl>,
## #   tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>,
## #   hour <dbl>, minute <dbl>, time_hour <dttm>

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

airports_no_flights <- airports %>%
  anti_join(flights, by = c("faa" = "origin")) %>%  
  anti_join(flights, by = c("faa" = "dest")) %>%    
  select(faa, name, lat, lon) %>%                  
  distinct()    
# Display the result
airports_no_flights

## # A tibble: 1,355 × 4
##    faa   name                             lat    lon
##    <chr> <chr>                          <dbl>  <dbl>
##  1 04G   Lansdowne Airport               41.1  -80.6
##  2 06A   Moton Field Municipal Airport   32.5  -85.7
##  3 06C   Schaumburg Regional             42.0  -88.1
##  4 06N   Randall Airport                 41.4  -74.4
##  5 09J   Jekyll Island Airport           31.1  -81.4
##  6 0A9   Elizabethton Municipal Airport  36.4  -82.2
##  7 0G6   Williams County Airport         41.5  -84.5
##  8 0G7   Finger Lakes Regional Airport   42.9  -76.8
##  9 0P2   Shoestring Aviation Airfield    39.8  -76.6
## 10 0S9   Jefferson County Intl           48.1 -123. 
## # ℹ 1,345 more rows

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

high_wind_airports <- weather %>%
  filter(wind_speed > 30) %>%                 
  inner_join(airports, by = c("origin" = "faa")) %>%  
  select(name) %>%                           
  distinct()
# Display the result
high_wind_airports

## # A tibble: 3 × 1
##   name               
##   <chr>              
## 1 Newark Liberty Intl
## 2 John F Kennedy Intl
## 3 La Guardia