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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

How Long Between Two Dates?

Perhaps the most natural relationship between two dates is the duration between them. This section looks at differences between dates in different time units: days, months, years, and by the number of specific days of the week. Surprisingly, investigating durations at each of these levels produces interesting results.

Duration in Days

The BillDate and ShipDate columns provide a good place to start the investigation, particularly in conjunction with the OrderDate column in Orders. Two natural questions are: How long after the order is placed are items shipped? How long after the order is placed are items billed?

These questions are about durations. In most dialects of SQL, simply subtracting one date from the other calculates the duration between them in days (and this works for the DATETIME data type in SQL Server but not for the DATE data type). This also works in Excel, but Microsoft SQL uses the DATEDIFF() function for DATE and DATETIME.

The following calculates...

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Data Analysis Using SQL and Excel
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