• Microvan
  • About
  • 1 Executive Summary
  • 2 Explorative Data Analysis
    • 2.1 Histogram
    • 2.2 Correlation Analysis
      • 2.2.1 Pair-wise Scatter Plot
      • 2.2.2 Correlation Matrix
      • 2.2.3 Normality test
  • 3 Exploratory Factor Analysis
    • 3.1 Eigenvalues
      • 3.1.1 Scree Plot
      • 3.1.2 Cumulative Percentages of Variance
      • 3.1.3 Select Number of Factors using Kaiser Rule
    • 3.2 Extract Principal Factors
    • 3.3 Factor Loadings
    • 3.4 Factor Scores
  • 4 Regression with 5 Factors
  • 5 Regression with 3 Factors
  • 6 Clustering
    • 6.1 Dendrogram
    • 6.2 K-Means
    • 6.3 Interpretation of the results
      • 6.3.1 Heatmap Table
      • 6.3.2 Histogram
  • 7 Demographic
    • 7.1 Merge cluster data with decographic data
    • 7.2 Histogram
    • 7.3 Ridge plot
      • 7.3.1 Count of Subjects in Clusters
      • 7.3.2 Stat
      • 7.3.3 Kruskal–Wallis H test
      • 7.3.4 Factor vs Cluster
  • References
  • GitHub

Microvan

References

  • Reducing Dimensionality
  • Latent Dimensions of Customer Perceptions
  • Hierarchical Clustering
  • Preference Segmentation
  • Preference Segmentation - Validation