Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
SQL for Data Analytics

You're reading from   SQL for Data Analytics Perform fast and efficient data analysis with the power of SQL

Arrow left icon
Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Length 386 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (3):
Arrow left icon
Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
Author Profile Icon Matt Goldwasser
Matt Goldwasser
Upom Malik Upom Malik
Author Profile Icon Upom Malik
Upom Malik
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics FREE CHAPTER 3. SQL for Data Preparation 4. Aggregate Functions for Data Analysis 5. Window Functions for Data Analysis 6. Importing and Exporting Data 7. Analytics Using Complex Data Types 8. Performant SQL 9. Using SQL to Uncover the Truth – a Case Study Appendix

Transforming Data

Often, the raw data presented in a query output may not be in the form we would like it to be. We may want to remove values, substitute values, or map values to other values. To accomplish these tasks, SQL provides a wide variety of statements and functions. Functions are keywords that take in inputs such as a column or a scalar value and change those inputs into some sort of output. We will discuss some very useful functions for cleaning data in the following sections.

CASE WHEN

CASE WHEN is a function that allows a query to map various values in a column to other values. The general format of a CASE WHEN statement is:

CASE WHEN condition1 THEN value1
WHEN condition2 THEN value2
…
WHEN conditionX THEN valueX
ELSE else_value END

Here, condition1 and condition2, through conditionX, are Boolean conditions; value1 and value2, through valueX, are values to map the Boolean conditions; and else_value is the value that is mapped if none of the Boolean...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image