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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

3. SQL for Data Preparation

Activity 3.01: Building a Sales Model Using SQL Techniques

Solution:

  1. Open pgAdmin, connect to the sqlda database, and open the SQL query editor.
  2. Use INNER JOIN to join the customers table to the sales table:
    FROM sales s
    JOIN customers c
    ON s.customer_id = c.customer_id

Note that the SQL in Steps 2, 3, and 4 is not complete SQL that you can run in pgAdmin. They are part of the FROM…JOIN clause on which the full SELECT statement will be built. They are created to guide you through the process of forming a complex dataset using JOIN. If you want to test the SQL, you can make it complete by adding SELECT * at the start.

  1. Use INNER JOIN to join the products table to the sales table:
    FROM sales s
    JOIN customers c
    ON s.customer_id = c.customer_id
    JOIN products p
      ON s.product_id = p.product_id
  2. Use LEFT JOIN to join the dealerships table (right table) to the sales table (left table):
    FROM sales s
    LEFT JOIN dealerships...
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