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DSCI QUIZ 2 Practice Exam With 100% Correct Detailed Answers.
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glimpse() - correct answer A little glimpse of our dataframe. It's somewhat like head() but it displays column headers in a lefthand column rather than as horizontal headers. as_factor - correct answer nameless_data %>%...

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  • October 4, 2024
  • 4
  • 2024/2025
  • Exam (elaborations)
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DSCI QUIZ 2

glimpse() - correct answer A little glimpse of our dataframe. It's somewhat like
head() but it displays column headers in a lefthand column rather than as horizontal headers.



as_factor - correct answer nameless_data %>%

mutate(some_column= as_factor(some_column))



levels() - correct answer A factor can have multiple levels or subcategories- like one
motor, two motors, and three motors in a dataset like MPG cars.output (eg. for mpg cars, we would
have levels with the number of motors). since levels() only accepts vectors, we use pull() to transforms
our columns into vectors.



CODE: Data %>%

select(num_motors) %>%

pull() %>%

levels()



pull() - correct answer Snags the contents of a specified cell and a particular row;
pull() grabs the value from a cell, not the entire dataframe.



Group_by+summarize- When do we use it? - correct answer nums <-
nrow(penguins)



EX: nums <- nrow(penguins)

penguins %>%

group_by(species)%>%

summarize(n=n()) |OR| summarize(percentage = n()/nums * 100)

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