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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel - Second Edition

By : Gordon S. S. Linoff
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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel

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)
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1
Foreword
17
EULA

One-Way Association Rules

This section moves from combinations of products to rules specifying that the presence of one product implies the presence of another. For many purposes, finding combinations of products that occur together is quite useful. However, these are still combinations, not rules.

Before investigating how to generate the rules, this section starts with the issue of evaluating rules. What makes one rule better than another?

Evaluating a One-Way Association Rule

The two most common products have IDs 12820 and 13190, suggesting the rule:

  • Product 12820 Product 13190

The traditional ways of evaluating such a rule are called support, confidence, and lift.

Calculating these measures uses the following information:

  • The total number of orders
  • The number of orders that contain the left-hand side of the rule
  • The number of orders that contain the right-hand side of the rule
  • The number of orders that contain both the left- and right-hand sides

And these are calculated by the...

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Data Analysis Using SQL and Excel
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