Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Updated
Jun 3, 2019 - R
Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
The beverage choice that accompanies most American pastime is divided between 🍺 Beer and 🥤 Soda. A market segmentation is performed to study this division - brands, demographic, profit - with the goal of target marketing.
To predict 6 months sales using 4 years time series data of a retail store.
I use R to identify and visualize target audience clusters for Acme Shopping Mall based on data collected about their shopping habits and preferences, and provide insightful business recommendations to tailor to the different needs of different consumer groups
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