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.

Instructions

$100$ XP

Select the entire second column, named day$2,$ 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.