Examining number of levels

dplyr has two other functions that can come in handy when exploring a dataset. The first is slice_max(var, n = x), which gets us the first x rows of a dataset based on the value of var. The other is pull(), which allows us to extract a column and take out the name, leaving only the value(s) from the column.

For example, if we wanted to get, as a set of values, the top two mpg values from the classic mtcars dataset, we would write:

mtcars %>%
  slice_max(mpg, n = 2) %>%
  pull(mpg)

This gets us:

[1] 32.4 33.9

Cet exercice fait partie du cours

Categorical Data in the Tidyverse

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Instructions

Use slice_max() to print out the 3 rows with the highest number of factor levels.
Filtering for the variable CurrentJobTitleSelect, pull the number of levels it has.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Select the 3 rows with the highest number of levels
number_of_levels %>%
    ___(num_levels, n = 3)
    
number_of_levels %>%
	# Filter for where the column called variable equals CurrentJobTitleSelect
    filter(___) %>%
	# Pull num_levels
    ___

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