Question: Question: Consider techniques (see list below). By looking at the dataset, with each technique, what can you address? Also, Identify which variable(s) in your dataset

Question:

Consider techniques (see list below). By looking at the dataset, with each technique, what can you address? Also, Identify which variable(s) in your dataset you should use for each technique.

a) Use frequency distributions, crosstabulations (contingency tables), and graphs to describe categorical variables

B) Use of exploratory data analysis to summarize quantitative variable

C) Include a confidence interval to estimate a population mean

( This is the list of variables)

Product related: Number of pages visited by visitor about product related pages

Product related duration: Total amount of time (in seconds) spent by the visitor on product related pages

Bounce rate: Average bounce rate value of the pages visited by the visitor

Exit rate: Average exit rate value of the pages visited by the visitor

Page value: Average page value of the pages visited by the visitor

Special day: Closeness of the site visiting time to a special day

(Feature name Feature description/ Number of categorical values)

OperatingSystems: Operating system of the visitor /8

Browser: Browser of the visitor /13

Region: Geographic region from which the session has been started by the visitor /9

VisitorType: Visitor type 'New Visitor,'' ''Returning Visitor,'' and ''Other''/ 3

Weekend: Boolean value indicating whether the date of the visit is weekend /2

Month: Month value of the visit date /12

Revenue: Class label indicating whether the visit has been finalized with a transaction

dataset you should use for each technique. a) Use frequency distributions, crosstabulations

(contingency tables), and graphs to describe categorical variables B) Use of exploratory

data analysis to summarize quantitative variable C) Include a confidence interval to

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