The function names explain their function and should be

intuitive, with the possible exception of the summary function,

which functions differently for quantitative and categorical

variables. For quantitative variables, summary provides the

$1$st$,2$nd and $3$rd quartiles and the minimum, median and

maximum value. For a categorical variable, the summary

function counts the number of observations at each factor

level.

The descriptive statistics functions can take data in different

formats, including vectors, lists and dataframes. When

evaluating variables within dataframes, we pass both the

dataframe name and the variable nanle, separated by a $ sign

into the function. For example, to calculate the minimum heart

rate across all time points, we would execute

min$($df$\_$long$heartrate$).$

Step $1)$ Create a new code chunk below a header that reads

"Descriptive Statistics".

Step $2)$ In this code chunk use the summary$0$ function on the

occupation variable found in the wide formatted heart rate

data $($df$).$

IMPORTANT: Knit to HTML after updating your code. Fix

errors before continuing.

How many individuals in df are teachers?

What code would i use to find how many individuals in df ads teachers?