4th feb q2

calculate_mode <- function(x) {    #function to find mode
  unique_values <- unique(x)  #this helps in finding the unique values
  max_count <- 0
  mode_values <- c()
  
  for (val in unique_values) {   #iterates each element in unique_values
    count <- sum(x == val)
    if (count > max_count) { 
      max_count <- count        #assigns value of max count
      mode_values <- c(val)
    } else if (count == max_count) {
      mode_values <- c(mode_values, val)    #stores the mode value
    }
  }
  
  return(mode_values)      #returns the mode value
}

data3 <- c(1,2,2,4,5,3,7,3)
data4 <- c(1,2,3)
data5 <- c(10,8,8,8,9)

mode3 <- calculate_mode(data3)
cat("The mode of the first dataset is:",mode3)

## The mode of the first dataset is: 2 3

mode4 <- calculate_mode(data4)
cat("The mode of the second dataset is:",mode4)

## The mode of the second dataset is: 1 2 3

mode5 <- calculate_mode(data5)
cat("The mode of the third dataset is:",mode5)

## The mode of the third dataset is: 8

knitr::opts_chunk$set(echo = TRUE)

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