Marketing Data Science: Modeling Techniques in Predictive Analytics with R and PythonMarketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
By Thomas W. Miller

 
Programs and Data to Accompany "Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python" Miller (2015)

 

 


Book Location Description of Directory or File File Name
MDS Chapter 1 Measuring and Modeling Individual Preferences (R) MDS_Exhibit_1_1.R
  Measuring and Modeling Individual Preferences (Python) MDS_Exhibit_1_2.py
  "Measuring and Modeling Individual Preferences (data)" mobile_services_ranking.csv
  Questions for Conjoint Survey (documentation) questions_for_survey.txt
  Conjoint Analysis Spine Chart (R binary) mtpa_spine_chart.Rdata
     
MDS Chapter 2 Predicting Commuter Transportation Choices (R) MDS_Exhibit_2_1.R
  Predicting Commuter Transportation Choices (Python) MDS_Exhibit_2_2.py
  Predicting Commuter Transportation Choices (data) sydney.csv
  Correlation Heat Map Utility (R binary) correlation_heat_map.RData
     
MDS Chapter 3 Identifying Customer Targets (R) MDS_Exhibit_3_1.R
  Identifying Customer Targets (Python) MDS_Extra_3_1.py
  Identifying Customer Targets (data) bank.csv
  Empty Python Directory __init__.py
  Evaluating Predictive Accuracy of a Binary Classifier (Python) evaluate_classifier.py
     
MDS Chapter 4 Identifying Consumer Segments (R) MDS_Exhibit_4_1.R
  Identifying Consumer Segments (Python) MDS_Exhibit_4_2.py
  Identifying Consumer Segments (data) bank.csv
     
MDS Chapter 5 Predicting Customer Retention (R) MDS_Exhibit_5_1.R
  Predicting Customer Retention (Python) MDS_Extra_5_1.py
  Predicting Customer Retention (data) att.csv
  Empty Python Directory __init__.py
  Evaluating Predictive Accuracy of a Binary Classifier (Python) evaluate_classifier.py
     
MDS Chapter 6 Product Positioning of Movies (R) MDS_Exhibit_6_1.R
  Product Positioning of Movies (Python) MDS_Exhibit_6_2.py
  Multidimensional Scaling Demonstration: US Cities (R) MDS_Exhibit_6_3.R
  Multidimensional Scaling Demonstration: US Cities (Python) MDS_Exhibit_6_4.py
  Using Activities Market Baskets for Product Positioning (R) MDS_Exhibit_6_5.R
  Using Activities Market Baskets for Product Positioning (Python) MDS_Exhibit_6_6.py
  Hierarchical Clustering of Activities (R) MDS_Exhibit_6_7.R
  Hierarchical Clustering of Activities (Python) MDS_Extra_6_7.py
  Hierarchical Clustering of Activities (data) wisconsin_dells.csv
     
MDS Chapter 7 Analysis for a Field Test of Laundry Soaps (R) MDS_Exhibit_7_1.R
  Analysis for a Field Test of Laundry Soaps (Python) MDS_Extra_7_1.py
  Analysis for a Field Test of Laundry Soaps (grouped data) gsoaps.csv
  Analysis for a Field Test of Laundry Soaps (individual data) soaps.csv
     
MDS Chapter 8 Shaking Our Bobbleheads Yes and No (R) MDS_Exhibit_8_1.R
  Shaking Our Bobbleheads Yes and No (Python) MDS_Exhibit_8_2.py
  Shaking Our Bobbleheads Yes and No (data) dodgers.csv
     
MDS Chapter 9 Market Basket Analysis of Grocery Store Data (R) MDS_Exhibit_9_1.R
  Market Basket Analysis of Grocery Store Data (Python to R) MDS_Exhibit_9_2.py
     
MDS Chapter 10 Training and Testing a Hierarchical Bayes Model (R) MDS_Exhibit_10_1.R
  Analyzing Consumer Preferences and Building a Market Simulation (R) MDS_Exhibit_10_2.R
  Training and Testing a Hierarchical Bayes Model (data) computer_choice_study.csv
  Market Simulation Utilities (R binary) mtpa_market_simulation_utilities.Rdata
  Split-plotting Utilities (R binary) mtpa_split_plotting_utilities.Rdata
     
MDS Chapter 11 Network Models and Measures (R) MDS_Exhibit_11_1.R
  Analysis of Agent-Based Simulation (R) MDS_Exhibit_11_2.R
  Defining and Visualizing a Small-World Network (Python) MDS_Exhibit_11_3.py
  Analysis of Agent-Based Simulation (Python) MDS_Exhibit_11_4.py
  Analysis of Agent-Based Simulation (data trials) NetLogo_results
  Analysis of Agent-Based Simulation (summary data) virus_results.csv
     
MDS Chapter 12 Competitive Intelligence: Spirit Airlines Financial Dossier (R) MDS_Exhibit_12_1.R
     
MDS Chapter 13 Restaurant Site Selection (R) MDS_Exhibit_13_1.R
  Restaurant Site Selection (Python) MDS_Exhibit_13_2.py
  Restaurant Site Selection (data) studenmunds_restaurants.csv
  Correlation Heat Map Utility (R binary) correlation_heat_map.RData
     
MDS Appendix C AT&T Choice Study MDS_Appendix_C_1
  Anonymous Microsoft Web Data MDS_Appendix_C_2
  Bank Marketing Study MDS_Appendix_C_3
  Boston Housing Study MDS_Appendix_C_4
  Computer Choice Study MDS_Appendix_C_5
  DriveTime Sedans MDS_Appendix_C_6
  Lydia E. Pinkham Medicine Company MDS_Appendix_C_7
  Procter & Gamble Laundry Soaps MDS_Appendix_C_8
  Return of the Bobbleheads MDS_Appendix_C_9
  Studenmund’s Restaurants MDS_Appendix_C_10
  Sydney Transportation Study MDS_Appendix_C_11
  ToutBay Begins Again MDS_Appendix_C_12
  Two Month’s Salary MDS_Appendix_C_13
  Wisconsin Dells MDS_Appendix_C_14
  Wikipedia Votes MDS_Appendix_C_16
     
MDS Appendix D Conjoint Analysis Spine Chart (R) MDS_Exhibit_D1.R
  Market Simulation Utilities (R) MDS_Exhibit_D2.R
  Split-plotting Utilities (R) MDS_Exhibit_D3.R
  Utilities for Spatial Data Analysis (R) MDS_Exhibit_D4.R
  Correlation Heat Map Utility (R) MDS_Exhibit_D5.R
  Evaluating Predictive Accuracy of a Binary Classifier (Python) MDS_Exhibit_D6.py