Question

Summarizing data 11 Now that you've seen the function sapply() , you'll practice writing your own functions to apply! The first step is defining a function that ouputs summary statistics. Packaging common operations into functions allows you to avoid repeating yourself. To define your own function in R, you'll use the syntax function_name <- function(args, more_args) { } where the is replaced with whatever operations using args and more_args you want the function to carry out.

Please help me with writing this code, it's R.

Answer 1

columns<-c('trip_distance','total_amount','passenger_count')
taxis_summary<-function(col,data){
print(data[col])
c(
mean=mean(data[col]),
sd=sd(data[col]),
quantile(data[col])
)
}

sapply(columns,taxis_summary,taxis)