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
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
SQL for Data Analytics

You're reading from   SQL for Data Analytics Harness the power of SQL to extract insights from data

Arrow left icon
Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801812870
Length 540 pages
Edition 3rd Edition
Languages
Arrow right icon
Authors (4):
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
Jun Shan Jun Shan
Author Profile Icon Jun Shan
Jun Shan
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

Window Functions

Continuing with the discussion on Window Functions, you want to find the earliest customers for ZoomZoom. In a more technical term, this means you want to rank every customer according to the date they became a customer, with the earliest customer being ranked 1, the second-earliest customer being ranked 2, and so on. You can get all the customers using the following query:

SELECT 
  customer_id, first_name, last_name, date_added
FROM 
  customers
ORDER BY 
  date_added;

The result is:

Figure 5.1: Customers ordered by date_added

You can order the customers from the earliest to the most recent, copy the output to an Excel spreadsheet, and assign a row number to each row so that you have the rank for each customer. But this is not automatic and is prone to errors. SQL provides several ways using which you can achieve it. Later in this chapter, you will learn how to assign numbers to ordered records by using...

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