An E-Commerce portal has collected data regarding the customer activity on the website, app, and purchase portal. The portal management wanted to study the relationship between customers' length of Memberships and the yearly money amount spent by the customer buying stuff on their portal (The last two columns in the datasheet). Unfortunately, some information regarding some customers is missing e.g. Length of Membership. A. You have three approaches that needed to be tackled: 1) Fill the missing data using 'zeros' 2) Fill the missing data using the mean of their column 3) Fill the missing data using the median of their column
An E-Commerce portal has collected data regarding the customer activity on the website, app, and purchase portal. The portal management wanted to study the relationship between customers' length of Memberships and the yearly money amount spent by the customer buying stuff on their portal (The last two columns in the datasheet). Unfortunately, some information regarding some customers is missing e.g. Length of Membership. A. You have three approaches that needed to be tackled: 1) Fill the missing data using 'zeros' 2) Fill the missing data using the mean of their column 3) Fill the missing data using the median of their column
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![Story:
An E-Commerce portal has collected data regarding the customer activity on the website, app,
and purchase portal. The portal management wanted to study the relationship between
customers' length of Memberships and the yearly money amount spent by the customer buying
stuff on their portal (The last two columns in the datasheet). Unfortunately, some information
regarding some customers is missing e.g. Length of Membership.
A. You have three approaches that needed to be tackled:
1) Fill the missing data using 'zeros'
2) Fill the missing data using the mean of their column
3) Fill the missing data using the median of their column
After trying each of them you need to study the effect of your new data proposition on
the correlation between "Length of Membership" and "Yearly Amount Spent
B. Using Principal Components Analysis (PCA), Reduce the number of independent
variables to only two(use any library you want for PCA)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1468c0c1-cc3b-48f2-bbcd-7fbfa2f1e738%2F2df667ac-996c-4d4f-8baf-17d4f2da0b5a%2F8jc1ys8_processed.png&w=3840&q=75)
Transcribed Image Text:Story:
An E-Commerce portal has collected data regarding the customer activity on the website, app,
and purchase portal. The portal management wanted to study the relationship between
customers' length of Memberships and the yearly money amount spent by the customer buying
stuff on their portal (The last two columns in the datasheet). Unfortunately, some information
regarding some customers is missing e.g. Length of Membership.
A. You have three approaches that needed to be tackled:
1) Fill the missing data using 'zeros'
2) Fill the missing data using the mean of their column
3) Fill the missing data using the median of their column
After trying each of them you need to study the effect of your new data proposition on
the correlation between "Length of Membership" and "Yearly Amount Spent
B. Using Principal Components Analysis (PCA), Reduce the number of independent
variables to only two(use any library you want for PCA)
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