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 a 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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