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SQL for Data Analytics

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

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801812870
Length 540 pages
Edition 3rd Edition
Languages
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Authors (4):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
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Matt Goldwasser
Jun Shan Jun Shan
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Jun Shan
Upom Malik Upom Malik
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Upom Malik
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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

2. The Basics of SQL for Analytics

Activity 2.01: Querying the customers Table Using Basic Keywords in a SELECT Query

Solution:

Here is the solution for Exercise 2.01, Running Your First SELECT Query:

  1. Open pgAdmin, connect to the sqlda database, and open SQL query editor. Examine the schema for the customers table from the schema drop-down list. Make sure you are familiar with the names of the columns, just like you did in Exercise 2.02, Querying the salespeople Table Using Basic Keywords in a SELECT Query, for the salespeople table.
  2. Execute the following query to fetch customers' emails in the state of Florida in alphabetical order:
    SELECT email 
    FROM customers 
    WHERE state='FL' 
    ORDER BY email;

The following is the output of the preceding code:

Figure 2.47: Emails of customers from Florida in alphabetical order

  1. Execute the following query to pull all the first names, last names, and email addresses for ZoomZoom...
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