Q1 select Keep the variables name, eye_color, and films.
## # A tibble: 87 x 3
## name eye_color films
## <chr> <chr> <list>
## 1 Luke Skywalker blue <chr [5]>
## 2 C-3PO yellow <chr [6]>
## 3 R2-D2 red <chr [7]>
## 4 Darth Vader yellow <chr [4]>
## 5 Leia Organa brown <chr [5]>
## 6 Owen Lars blue <chr [3]>
## 7 Beru Whitesun lars blue <chr [3]>
## 8 R5-D4 red <chr [1]>
## 9 Biggs Darklighter brown <chr [1]>
## 10 Obi-Wan Kenobi blue-gray <chr [6]>
## # … with 77 more rows
Q2 filter select blonds.
## # A tibble: 3 x 13
## name height mass hair_color skin_color eye_color birth_year gender homeworld
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
## 1 Luke… 172 77 blond fair blue 19 male Tatooine
## 2 Anak… 188 84 blond fair blue 41.9 male Tatooine
## 3 Fini… 170 NA blond fair blue 91 male Coruscant
## # … with 4 more variables: species <chr>, films <list>, vehicles <list>,
## # starships <list>
Q3 filter select female blonds.
## # A tibble: 0 x 13
## # … with 13 variables: name <chr>, height <int>, mass <dbl>, hair_color <chr>,
## # skin_color <chr>, eye_color <chr>, birth_year <dbl>, gender <chr>,
## # homeworld <chr>, species <chr>, films <list>, vehicles <list>,
## # starships <list>
Q4 mutate Convert height in centimeters to feet.
## # A tibble: 87 x 13
## name height mass hair_color skin_color eye_color birth_year gender
## <chr> <dbl> <dbl> <chr> <chr> <chr> <dbl> <chr>
## 1 Luke… 5.64 77 blond fair blue 19 male
## 2 C-3PO 5.48 75 <NA> gold yellow 112 <NA>
## 3 R2-D2 3.15 32 <NA> white, bl… red 33 <NA>
## 4 Dart… 6.63 136 none white yellow 41.9 male
## 5 Leia… 4.92 49 brown light brown 19 female
## 6 Owen… 5.84 120 brown, gr… light blue 52 male
## 7 Beru… 5.41 75 brown light blue 47 female
## 8 R5-D4 3.18 32 <NA> white, red red NA <NA>
## 9 Bigg… 6.00 84 black light brown 24 male
## 10 Obi-… 5.97 77 auburn, w… fair blue-gray 57 male
## # … with 77 more rows, and 5 more variables: homeworld <chr>, species <chr>,
## # films <list>, vehicles <list>, starships <list>
Q5 summarize Calculate mean height in feet
## # A tibble: 1 x 1
## mean_ht
## <dbl>
## 1 5.72
Q6 group_by and summarize Calculate mean height by gender.
## # A tibble: 5 x 2
## gender mean_ht
## <chr> <dbl>
## 1 female 5.43
## 2 hermaphrodite 5.74
## 3 male 5.88
## 4 none 6.56
## 5 <NA> 3.94
Q7 spread Convert the dataset, mean_height, to a wide dataset.
## # A tibble: 1 x 5
## female hermaphrodite male none `<NA>`
## <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 5.43 5.74 5.88 6.56 3.94
Q8 Hide the messages and the code, but display results of the code from the webpage.
Q9 Display the title and your name correctly at the top of the webpage.
Q10 Use the correct slug.