StarWars Data Visualization

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Data

The dataset we will explore is called starwars.

Star Wars characters

Exercise 1

Glimpse at the starwars data frame.

glimpse(starwars)

Rows: 87
Columns: 14
$ name       <chr> "Luke Skywalker", "C-3PO", "R2-D2", "Darth Vader", "Leia Or…
$ height     <int> 172, 167, 96, 202, 150, 178, 165, 97, 183, 182, 188, 180, 2…
$ mass       <dbl> 77.0, 75.0, 32.0, 136.0, 49.0, 120.0, 75.0, 32.0, 84.0, 77.…
$ hair_color <chr> "blond", NA, NA, "none", "brown", "brown, grey", "brown", N…
$ skin_color <chr> "fair", "gold", "white, blue", "white", "light", "light", "…
$ eye_color  <chr> "blue", "yellow", "red", "yellow", "brown", "blue", "blue",…
$ birth_year <dbl> 19.0, 112.0, 33.0, 41.9, 19.0, 52.0, 47.0, NA, 24.0, 57.0, …
$ sex        <chr> "male", "none", "none", "male", "female", "male", "female",…
$ gender     <chr> "masculine", "masculine", "masculine", "masculine", "femini…
$ homeworld  <chr> "Tatooine", "Tatooine", "Naboo", "Tatooine", "Alderaan", "T…
$ species    <chr> "Human", "Droid", "Droid", "Human", "Human", "Human", "Huma…
$ films      <list> <"A New Hope", "The Empire Strikes Back", "Return of the J…
$ vehicles   <list> <"Snowspeeder", "Imperial Speeder Bike">, <>, <>, <>, "Imp…
$ starships  <list> <"X-wing", "Imperial shuttle">, <>, <>, "TIE Advanced x1",…

Exercise 2

Modify the following plot to change the color of the points by gender.

ggplot(starwars, aes(x = height, y = mass, color = gender)) +
  geom_point()

Warning: Removed 28 rows containing missing values or values outside the scale range
(`geom_point()`).

Exercise 3

Modify the following plot to change the color of all points to "pink".

ggplot(starwars, aes(x = height, y = mass)) +
  geom_point(color = "pink")

Warning: Removed 28 rows containing missing values or values outside the scale range
(`geom_point()`).

Exercise 4

Add labels for title, x and y axes, and color of points.

ggplot(starwars, aes(x = height, y = mass, color = gender, shape = gender)) +
  geom_point() +
  labs(
    title = "Weights and heights of Star Wars characters",
    x = "Height (cm)",
    y = "Weight (kg)",
    color = "Gender",
    shape = "Gender"
  )

Warning: Removed 31 rows containing missing values or values outside the scale range
(`geom_point()`).

Exercise 5

Pick a single categorical variable from the data set and make a bar plot of its distribution. Describe what you see in the plot.

Add description here.

ggplot(starwars, aes(y = hair_color)) +
  geom_bar()

Exercise 6

Pick two categorical variables and make a visualization to visualize the relationship between the these variables. Along with your code and output, provide an interpretation of the visualization.

Add interpretation here.

ggplot(starwars, aes(x = sex, fill = gender)) +
  geom_bar()

ggplot(starwars, aes(x = gender, fill = sex)) +
  geom_bar()

Exercise 7

Pick three categorical variables and make a visualization to visualize the relationship between the these variabl es. Along with your code and output, provide an interpretation of the visualization.

Add interpretation here.

ggplot(starwars, aes(x = gender, fill = sex)) +
  geom_bar() +
  facet_wrap(~hair_color)