Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

Contents

Preface

1. Introduction

1.1 Overview

1.2 Problem definition

1.3 Data preparation

1.4 Implementation of the analysis

1.5 Deployment of the results

1.6 Book outline

1.7 Summary

1.8 Further reading

2. Definition

2.1 Overview

2.2 Objectives

2.3 Deliverables

2.4 Roles and responsibilities

2.5 Project plan

2.6 Case study

2.6.1 Overview

2.6.2 Problem

2.6.3 Deliverables

2.6.4 Roles and responsibilities

2.6.5 Current situation

2.6.6 Timetable and budget

2.6.7 Cost/benefit analysis 14

2.7 Summary

2.8 Further reading

3. Preparation

3.1 Overview

3.2 Data sources

3.3 Data understanding

3.3.1 Data tables

3.3.2 Continuous and discrete variables

3.3.3 Scales of measurement

3.3.4 Roles in analysis

3.3.5 Frequency distribution

3.4 Data preparation

3.4.1 Overview

3.4.2 Cleaning the data

3.4.3 Removing variables

3.4.4 Data transformations

3.4.5 Segmentation

3.5 Summary

3.6 Exercises

3.7 Further reading

4. Tables and graphs

4.1 Introduction

4.2 Tables

4.2.1 Data tables

4.2.2 Contingency tables

4.2.3 Summary tables

4.3 Graphs

4.3.1 Overview

4.3.2 Frequency polygrams and histograms

4.3.3 Scatterplots

4.3.4 Box plots

4.3.5 Multiple graphs

4.4 Summary

4.5 Exercises

4.6 Further reading

5. Statistics

5.1 Overview

5.2 Descriptive statistics

5.2.1 Overview

5.2.2 Central tendency

5.2.3 Variation

5.2.4 Shape

5.2.5 Example

5.3 Inferential statistics

5.3.1 Overview

5.3.2 Confidence intervals

5.3.3 Hypothesis tests

5.3.4 Chi-square

5.3.5 One-way analysis of variance

5.4 Comparative statistics

5.4.1 Overview ...