Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python

Figures

1.1 Spine Chart of Preferences for Mobile Communication Services

1.2 The Market: A Meeting Place for Buyers and Sellers

2.1 Scatter Plot Matrix for Explanatory Variables in the Sydney Transportation Study

2.2 Correlation Heat Map for Explanatory Variables in the Sydney Transportation Study

2.3 Logistic Regression Density Lattice

2.4 Using Logistic Regression to Evaluate the Effect of Price Changes

3.1 Age and Response to Bank Offer

3.2 Education Level and Response to Bank Offer

3.3 Job Type and Response to Bank Offer

3.4 Marital Status and Response to Bank Offer

3.5 Housing Loans and Response to Bank Offer

3.6 Logistic Regression for Target Marketing (Density Lattice)

3.7 Logistic Regression for Target Marketing (Confusion Mosaic)

3.8 ...