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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

CHAPTER 3
How Different Is Different?

The previous two chapters show how to do various calculations and visualizations using SQL and Excel. This chapter moves from calculating results to understanding the significance of the resulting measurements. When are two values so close that they are essentially the same? When are two values far enough apart that we are confident in their being different?

The study of measurements and how to interpret them falls under the applied science of statistics. Although theoretical aspects of statistics can be daunting, the focus here is on applying the results, using tools borrowed from statistics to learn about customers through data. As long as we follow common sense and a few rules, the results can be applied without diving into theoretical mathematics or arcane jargon.

The word “statistics” itself is often misunderstood. It is the plural of “statistic,” and a statistic is just a measurement, such as the averages, medians...

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Data Analysis Using SQL and Excel
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