Create the code makes a table for each of the below questions.
1. join + filter - Which airplanes fly LGA to XNA (1 POINT)
## # A tibble: 6 × 1
## tailnum
## <chr>
## 1 N722MQ
## 2 N719MQ
## 3 N739MQ
## 4 N711MQ
## 5 N723MQ
## 6 N730MQ
2. join - Add the airline name to the flights table (1 POINT)
## # A tibble: 6 × 20
## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
## <int> <int> <int> <int> <int> <dbl> <int> <int>
## 1 2013 1 1 517 515 2 830 819
## 2 2013 1 1 533 529 4 850 830
## 3 2013 1 1 542 540 2 923 850
## 4 2013 1 1 544 545 -1 1004 1022
## 5 2013 1 1 554 600 -6 812 837
## 6 2013 1 1 554 558 -4 740 728
## # ℹ 12 more variables: arr_delay <dbl>, carrier <chr>, flight <int>,
## # tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>,
## # hour <dbl>, minute <dbl>, time_hour <dttm>, name <chr>
3. join + select + distinct() - Which airports have no commercial
flights (1 POINT)
## # 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
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
## # A tibble: 3 × 1
## name
## <chr>
## 1 Newark Liberty Intl
## 2 John F Kennedy Intl
## 3 La Guardia