Use R Studio : R $-$built in database$-$

Import the presidents data into a data frame called PresAp. The data is stored as a time series. Use the as$.$numeric$()$ function to store it into a data frame.

Clean the data! $($Remove the NA from the data$)$ Hint: You can use the drop$\_$na$()$ function which is part of the tidyr package.

Calculate the measures of Central Tendency $($mean$,$ median, and mode$)$ and store them into the following variables: PresMean, PresMedian, PresMode.

Calculate the measures of variations $($Standard Deviation and Range$)$ and store them into the following variables: PresSd and PreRange

Calculate the Z$-$scores for all the data points and add it to PresAP as a column called Zscores.

Using the filter function $($which is part of the dplyr package$),$ display the outliers $($if any$).$

Using the filter function, display all values that have a z score of $>|2|$