function_math <- function(x, y){
  z <- x + y
  p <- x * y
  q <- z / p
  return(c(z, p, q))
}
function_math(2, 3)

Let’s try to understand the interesting analytics behind it.

Two active members A and B always try to answer as many questions as possible on the forum. On the last 6 common questions which both of them answered on the forum, they received few upvotes which are recorded as vectors as given below:

A_upvotes <- c(7, 3, 2, 8, 0, 4)
B_upvotes <- c(2, 1, 3, 4, 2, 4)

Let’s try to understand the interesting analytics behind it.

Two active members A and B always try to answer as many questions as possible on the forum. On the last 6 common questions which both of them answered on the forum, they received few upvotes which are recorded as vectors as given below:

A_upvotes <- c(7, 3, 2, 8, 0, 4)
B_upvotes <- c(2, 1, 3, 4, 2, 4)

Answer the following questions to find out how badges are given to different participants based on data obtained from activities in the discussion forum.

Let’s try to understand the interesting analytics behind it.

Two active members A and B always try to answer as many questions as possible on the forum. On the last 6 common questions which both of them answered on the forum, they received few upvotes which are recorded as vectors as given below:

A_upvotes <- c(7, 3, 2, 8, 0, 4)
B_upvotes <- c(2, 1, 3, 4, 2, 4)

The following questions will help you understand how answer upvotes’ data can be analysed.