Book Image

Data Analysis Using SQL and Excel - Second Edition

By : Gordon S. S. Linoff
Book Image

Data Analysis Using SQL and Excel - Second Edition

By: Gordon S. S. Linoff

Overview of this book

Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way. Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS.
Table of Contents (18 chapters)
Free Chapter
1
Foreword
17
EULA

Designing Customer Signatures

Before going into the details of the data manipulations, let’s cover some key ideas concerning the design of customer signatures. These ideas ensure that they work well for analytic purposes, and that they can be generated to be as-of arbitrary points in time.

Profiling versus Prediction

Chapter 11 introduces the distinction between a profiling model set and a prediction model set. In a profiling model set, the inputs and the targets come from the same time frame. In a prediction model set, the inputs are known before the target. The same ideas hold for customer signatures.

This chapter focuses on prediction model sets because they are more powerful. In a profiling model set, the target variables can simply be created in the same way as the input variables. In a prediction model set, the cutoff date is for the input variables, and the target comes from a time frame after the cutoff date.

Column Roles

Columns in a customer signature have various...