Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition

CONTENTS

1. PREFACE
2. 1 INTRODUCTION
   1. 1.1 Overview
   2. 1.2 Sources of Data
   3. 1.3 Process for Making Sense of Data
   4. 1.4 Overview of Book
   5. 1.5 Summary
   6. Further Reading
3. 2 DESCRIBING DATA
   1. 2.1 Overview
   2. 2.2 Observations and Variables
   3. 2.3 Types of Variables
   4. 2.4 Central Tendency
   5. 2.5 Distribution of the Data
   6. 2.6 Confidence Intervals
   7. 2.7 Hypothesis Tests
   8. Exercises
   9. Further Reading
4. 3 PREPARING DATA TABLES
   1. 3.1 Overview
   2. 3.2 Cleaning the Data
   3. 3.3 Removing Observations and Variables
   4. 3.4 Generating Consistent Scales Across Variables
   5. 3.5 New Frequency Distribution
   6. 3.6 Converting Text to Numbers
   7. 3.7 Converting Continuous Data to Categories
   8. 3.8 Combining Variables
   9. 3.9 Generating Groups
   10. 3.10 Preparing Unstructured Data
   11. Exercises
   12. Further Reading
5. 4 UNDERSTANDING RELATIONSHIPS
   1. 4.1 Overview
   2. 4.2 Visualizing Relationships Between Variables
   3. 4.3 Calculating Metrics About Relationships
   4. Exercises
   5. Further Reading
6. 5 IDENTIFYING AND UNDERSTANDING GROUPS
   1. 5.1 Overview
   2. 5.2 Clustering
   3. 5.3 Association Rules
   4. 5.4 Learning Decision Trees from Data
   5. Exercises
   6. Further Reading
7. 6 BUILDING MODELS FROM DATA
   1. 6.1 Overview
   2. 6.2 Linear Regression
   3. 6.3 Logistic Regression
   4. 6.4 K-Nearest Neighbors
   5. 6.5 Classification and Regression Trees
   6. 6.6 Other Approaches
   7. Exercises
   8. Further Reading
8. APPENDIX A ANSWERS TO EXERCISES
9. APPENDIX B HANDS-ON TUTORIALS
   1. B.1 Tutorial Overview
   2. B.2 Access and Installation
   3. B.3 Software Overview
   4. B.4 Reading in Data
   5. B.5 Preparation Tools
   6. B.6 Tables and Graph Tools
   7. B.7 Statistics Tools
   8. B.8 Grouping Tools
   9. B.9 Models ...