Trial: Sums

Welcome, Padawan. In this exercise, you’ll be tested on skills using math-based summarize() functions. Like our previous Trials, J-327D will be asking for information from the dataset starwars in the tidyverse packages.

If you recall from our earlier exercise, starwars is a dataset with 87 Star Wars characters.

Select and filter

Your droid editor, J-327D, notes that Chewbacca is taller than the rest of the crew in the Millennium Falcon, but he wonders if he is just tall for a Wookiee. He asks you to find the average heights of Humans, Droids, Gungans and Wookiees from within the starwars data. He notes that that height variable is a measurement in centimeters.

J-327D has a specific goal in mind for this first part of the Trial. He says it would be helpful to focus on some specific data before we find the average height.

  1. Select only the name, height, species variables from the starwars data.
  2. Filter that to include only rows with species of "Human", "Droid", "Gungan", "Wookiee".
  3. Save the results into a new data frame called characters and then print out the new characters data frame.
Solution
characters <- starwars |> select(name, height, species) |> filter(species %in% c("Human", "Droid", "Gungan", "Wookiee")) characters 
characters <- starwars |>
  select(name, height, species) |>
  filter(species %in% c("Human", "Droid", "Gungan", "Wookiee"))

characters
Hint 1

Start with your select. Fill in the blanks

starwars |>
  select(name, height, species)
Hint 2

J-327D notes there are several ways to filter for more than one species, but his favorite, most efficient way is through using %in%:

starwars |>
  select(name, height, species) |>
  filter(species ____ c("Human", "Droid", "Gungan", "Wookiee"))

Finding the mean

OK, now that we have a dataframe with our selected rows based on species, we can find the answer to the question J-327D really wants to know.

In our last JedR Trial, we counted the number of characters (rows) that were different species. In this trail we need to use group_by() and summarize() and arrange() again, but we must summarize to get the average height – or mean() – of each species in the data.

Do note:

  • If you attempt to match rows containing NA values, the result will also be NA by default. To address this, we are suing na.rm = TRUE to exclude rows with NA values.
  • We are calling the new summarized variable height_avg so our grade checker knows what to look for.
  • Don’t forget that we often want to sort the height_avg by descending order, because journalists are typically interested in the most of something.

Question for this exercise

Hint 1

J-327D notes that we have a saying for a typical summarize function: GSA stands for group_by(), summarize() and arrange(). They typicaly come together in that order.

Solution
characters |> group_by(species) |> summarize(height_avg = mean(height, na.rm = TRUE)) |> arrange(desc(height_avg)) 
characters |>
  group_by(species) |>
  summarize(height_avg = mean(height, na.rm = TRUE)) |>
  arrange(desc(height_avg))

JedR challenge

What are the tallest species in the Star Wars Universe?

Wookiees are the tallest species with an average height of 231 centemeters. That’s about 7 feet, 7 inches.

You’re done with this Trial

Like a true Jedi, you face challenges with courage and wisdom. Please inform your JedR Master that you have completed this trial. You are free to attempt the next JedR Trial or continue with JedR Training.