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The Applied SQL Data Analytics Workshop

You're reading from   The Applied SQL Data Analytics Workshop Develop your practical skills and prepare to become a professional data analyst

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781800203679
Length 484 pages
Edition 2nd Edition
Languages
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Authors (3):
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Upom Malik Upom Malik
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Upom Malik
Benjamin Johnston Benjamin Johnston
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Benjamin Johnston
Matt Goldwasser Matt Goldwasser
Author Profile Icon Matt Goldwasser
Matt Goldwasser
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Toc

Aggregate Functions

We are often interested in understanding the properties of an entire column or table as opposed to just seeing individual rows of data. As a simple example, let's say you were wondering how many customers ZoomZoom has. You could select all the data from the table and then see how many rows were pulled back, but it would be incredibly tedious to do so. Luckily, there are functions provided by SQL that can be used to perform calculations on large groups of rows. These functions are called aggregate functions. Aggregate functions take in one or more columns with multiple rows and return a number based on those columns. As an illustration, we can use the COUNT function to count the total number of ZoomZoom customers by counting the total rows in the customers table:

SELECT COUNT(customer_id) FROM customers;

The COUNT function will return the number of rows without a NULL value in the column. Since the customer_id column is a primary key and cannot be NULL...

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