summarize_at()

As mentioned in the video, there are two tidyverse functions that you will use frequently throughout the course; summarize_at() and count().

In this exercise, you'll be using summarize_at() to find summary statistics of three variables in the Male Fertility data set:

Surgical_Intervention: Did the participant have a surgical intervention? (1: Yes, 0: No)
Diagnosis: Was the diagnosis abnormal? (1: Yes, 0: No)
Age: Age of the participant at the time of analysis (all participants were between 18–36, and age normalized between 0–1).

dplyr and fertility are loaded in your workspace.

Find how many participants had a surgical intervention (Surgical_Intervention = 1) and how many participants had an abnormal diagnosis (Diagnosis = 1).