Scenario A retail company posted a 1-minute video for a marketing campaign on a social network platform. The manager collected the following information about the viewers in the first day. Analyze the dataset and answer the questions: Viewer Age Gender State Like No. of friends Click time 1 2 3 N N N N Y 4 5 6 N 7 8 N Y Y N 25 19 30 36 40 31 missing 29 28 41 60 28 27 34 37 35 33 36 45 37 9 10 11 12 13 14 15 16 17 18 19 20 M F missing M F M F M M F M M F M M M M F F M IL IL IL IL IL IL IL IL IL IL NY NY NY NY NY NY NY NY NY NY View length (seconds) 50 10 45 30 60 10 35 60 60 5 45 20 20 50 60 30 55 20 15 60 100000 200 50 250 500 1000 20 0 1500 250 350 250 500 300 400 350 1000 250 600 80 24:00 21:00 19:00 18:00 22:00 10:00 12:00 22:00 3:00 21:00 22:00 20:00 22:00 20:00 15:00 22:00 20:00 19:00 21:00 23:00 N N N N N N Y N N N 1. Are there any outliers in the data set? How do you check for outliers? Scenario A retail company posted a 1-minute video for a marketing campaign on a social network platform. The manager collected the following information about the viewers in the first day. Analyze the dataset and answer the questions: Viewer Age Gender State Like No. of friends Click time 1 2 3 N N N N Y 4 5 6 N 7 8 N Y Y N 25 19 30 36 40 31 missing 29 28 41 60 28 27 34 37 35 33 36 45 37 9 10 11 12 13 14 15 16 17 18 19 20 M F missing M F M F M M F M M F M M M M F F M IL IL IL IL IL IL IL IL IL IL NY NY NY NY NY NY NY NY NY NY View length (seconds) 50 10 45 30 60 10 35 60 60 5 45 20 20 50 60 30 55 20 15 60 100000 200 50 250 500 1000 20 0 1500 250 350 250 500 300 400 350 1000 250 600 80 24:00 21:00 19:00 18:00 22:00 10:00 12:00 22:00 3:00 21:00 22:00 20:00 22:00 20:00 15:00 22:00 20:00 19:00 21:00 23:00 N N N N N N Y N N N 1. Are there any outliers in the data set? How do you check for outliers