Blend it all together

With the things you've learned by now, you're able to solve pretty cool problems.

Instead of recording the number of views for your own LinkedIn profile, suppose you conducted a survey inside the company you're working for. You've asked every employee with a LinkedIn profile how many visits their profile has had over the past seven days. You stored the results in a data frame called li_df. This data frame is available in the workspace; type li_df in the console to check it out.

This exercise is part of the course

Intermediate R

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Exercise instructions

Select the entire second column, named day2, from the li_df data frame as a vector and assign it to second.
Use second to create a logical vector, that contains TRUE if the corresponding number of views is strictly greater than 25 or strictly lower than 5 and FALSE otherwise. Store this logical vector as extremes.
Use sum() on the extremes vector to calculate the number of TRUEs in extremes (i.e. to calculate the number of employees that are either very popular or very low-profile). Simply print this number to the console.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# li_df is pre-loaded in your workspace

# Select the second column, named day2, from li_df: second


# Build a logical vector, TRUE if value in second is extreme: extremes


# Count the number of TRUEs in extremes

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