A retail company posted a 1- minute video for a marketing campaign on a social network...

 

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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 No. of View Click Like length (seconds) 50 friends time 1 25 M IL 100000 24:00 19 F IL 200 50 10 21:00 missing IL 30 IL 45 19:00 N 36 250 30 18:00 N 40 F IL 500 60 22:00 31 IL 1000 10 10:00 N 7 35 missing 29 F IL 20 12:00 N 8 IL 60 22:00 28 IL 1500 60 3:00 10 41 F IL 250 21:00 N 11 60 NY 350 45 22:00 N 12 28 NY 250 20 20:00 N 500 20 50 13 27 F NY 22:00 N 14 34 NY 300 20:00 N 15 37 NY 400 60 15:00 N 16 35 M NY 350 30 22:00 N 17 33 M. NY 1000 55 20:00 18 36 F NY 250 20 19:00 N 19 45 F NY 600 15 21:00 N 20 37 M NY 80 60 23:00 N 1. Are there any outliers in the data set? How do you check for outliers? 2. View Length: What is the mean, median and range of View Length? 3. View Length * Gender: What percentage of viewers are female? On average, does 'view length' vary by gender? Explain briefly. 4. View Length * Age Is there a correlation between View Length and age? How are these two variables related? 5. [a] Describe how you handled/ would handle the missing values? Identify any one method you would adopt to handle the missing values and justify it. [b] What did you learn from the above analyses? Report your inferences from the above data analyses with at least two different graphs of your choice. zlzlzlz lzlz lzlzlzlzlzlzlz zlzlz 23456 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 No. of View Click Like length (seconds) 50 friends time 1 25 M IL 100000 24:00 19 F IL 200 50 10 21:00 missing IL 30 IL 45 19:00 N 36 250 30 18:00 N 40 F IL 500 60 22:00 31 IL 1000 10 10:00 N 7 35 missing 29 F IL 20 12:00 N 8 IL 60 22:00 28 IL 1500 60 3:00 10 41 F IL 250 21:00 N 11 60 NY 350 45 22:00 N 12 28 NY 250 20 20:00 N 500 20 50 13 27 F NY 22:00 N 14 34 NY 300 20:00 N 15 37 NY 400 60 15:00 N 16 35 M NY 350 30 22:00 N 17 33 M. NY 1000 55 20:00 18 36 F NY 250 20 19:00 N 19 45 F NY 600 15 21:00 N 20 37 M NY 80 60 23:00 N 1. Are there any outliers in the data set? How do you check for outliers? 2. View Length: What is the mean, median and range of View Length? 3. View Length * Gender: What percentage of viewers are female? On average, does 'view length' vary by gender? Explain briefly. 4. View Length * Age Is there a correlation between View Length and age? How are these two variables related? 5. [a] Describe how you handled/ would handle the missing values? Identify any one method you would adopt to handle the missing values and justify it. [b] What did you learn from the above analyses? Report your inferences from the above data analyses with at least two different graphs of your choice. zlzlzlz lzlz lzlzlzlzlzlzlz zlzlz 23456

Answer rating: 100% (QA)

Answers 1 List of outliers in the data set Viewer Reason An average number of friends of the data is ... View the full answer