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PCA Analysis of Consumer Data by gerrydenis20 is a document available to read on EtoBox.

What is PCA Analysis of Consumer Data about?

This document discusses applying principal component analysis (PCA) to a dataset containing information on 6 consumers with 5 attributes. PCA is performed to the standardized data, resulting in 5 principal components. The first principal component accounts for 68.158% of the variance in the data, while the first two principal components together account for 88.902% of the variance. Representing the data using only the first two principal components would allow capturing over 80% of the variation in the data

Author
gerrydenis20
Language
EN

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