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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

Products and Customer Worth

This section investigates the relationship between products and customer worth. It starts with the question of whether good customers are consistent over time in their purchasing behavior. It then looks at the relationship between products on the one hand and good and bad customers on the other. Finally, this section defines and measures residual value.

Consistency of Order Size

Each order is a certain size, which can be defined in terms of its total value (amount paid). Over time some customers place multiple orders. Are orders consistently about the same size for a given customer? Or do the orders for a given customer vary significantly in size? The answers to these questions can give some indication of price sensitivity. For instance, if customers tend to have orders that are similar in size, we want to be cautious about recommending products that are either much more or much less expensive than the ones they have already ordered. On the other hand, if...

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Data Analysis Using SQL and Excel
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