Trying to create proportions of churning rates based on only sex. Can get proportions of the total number of members

Question

1. Read the file

library(tidyverse)
churnData <- as_tibble(read.table("WA_Fn-UseC_-Telco-Customer-Churn.csv",
             sep=",",he