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

Sparklines

A sparkline is a special type of chart that fits within a single cell. Typically, these are column charts or line charts that are particularly useful for showing changes over time. Excel offers many fewer options for formatting sparklines, but like in-cell bar charts, they have the tremendous advantage of being shown with the data itself.

How do the number of purchases vary by month for different payment types? To answer this question, let’s focus on a single year, 2015. The idea is to summarize the orders data by month and then create sparklines that show the changes through the year.

The query to extract the data uses conditional aggregation:

SELECT PaymentType,
       SUM(CASE WHEN MONTH(OrderDate) = 1 THEN 1 ELSE 0 END) as Jan,
        . . .
       SUM(CASE WHEN MONTH(OrderDate) = 12 THEN 1 ELSE 0 END) as Dec
FROM Orders o
WHERE YEAR(OrderDate) = 2015
GROUP BY PaymentType
ORDER BY PaymentType

The...