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

Lessons Learned

This chapter looks at what customers purchase, rather than when or how they purchase, with an emphasis on exploratory data analysis. The contents of market baskets can be very interesting, providing information about both customers and products.

A good way to look at products is by using scatter plots and bubble charts to visualize relationships. A useful Excel trick makes it possible to see products along the X- and Y-axes for bubble charts and scatter plots.

Investigating products includes finding the products associated with the best customers, and finding the ones associated with the worst customers (those who only make one purchase). It is also interesting to explore other facets of products, such as the number of times a product changes price, the number of units in each order, the number of times products are repeated within an order, and how often customers purchase the same product again.

Exploratory data analysis goes beyond just these questions. Pricing is a...