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R_CS_10

Dimension Reduction in R

Case-Study Title: Brand Perceptual Map (use PCA for data interpretation)

Data Analysis methodology: CRISP-DM

Dataset: 100 Customers answered 9 questions about 10 brands by likerd spectrum

Case Goal: Knowing market atmosphere and Brand Positioning (know situation of 10 different Brands)

Correlation table between continuous features CS_10_1

Heat-Map of mean score of every brand in each feature CS_10_2

Perceptual Map for all products CS_10_3

Perceptual Map for brands CS_10_4

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Dimension Reduction in R

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data-science machine-learning r ml pca data-analysis unsupervised-learning principal-component-analysis dimension-reduction perceptual-map

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