Working With Data in R Quiz

Working With Data in R Quiz#

The following questions are aimed at testing your understanding of the content that is covered within this course. There is no defined threshold below which we believe you should attend the course. Rather, it is aimed at helping you engage with the content and reflect on whether you would benefit from attending the course. It is intended that you will engage with documentation and use Google throughout. Even if you get all the questions right, you are, of course, more than welcome to still attend the course as a refresher!

What function in `dplyr` is used to filter rows based on conditions in R?
Which operator should be used to combine multiple conditions inside `filter` in `dplyr`?
Which function is used to check for missing values in a column?
How would you use 'dplyr' to remove rows where the column `sex` has missing data?
How would you use `dplyr` to extract data for Gentoo penguins with weight between 4.8kg and 5.2kg (inclusive)?
Which function would you use to select specific columns from a dataframe in `dplyr`?
Which is the purpose of the `%>%` operator?
How can you transform a column to the integer type?
Which function is commonly used to read a CSV file in R?
How would you calculate the number of observations for male penguins in a dataframe `penguins_subset` in `dplyr`?