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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

4. Aggregate Functions for Data Analysis

Activity 4.01: Analyzing Sales Data Using Aggregate Functions

Solution:

  1. Open pgAdmin, connect to the sqlda database, and open SQL query editor.
  2. Calculate the total number of unit sales the company has made:
    SELECT 
      COUNT(*)
    FROM 
      sales;

The result is as follows:

Figure 4.29: Result of COUNT(*) for sales units

Note that because each sales transaction contains a product ID, there is no NULL value in the product_id column. So, COUNT(product_id) will also work. Similarly, COUNT(sales_amount) will also work.

  1. Calculate the total sales amount in dollars for each state:
    SELECT 
      c.state, 
      SUM(s.sales_amount)::DECIMAL(12,2)
    FROM 
      sales s
    JOIN 
      customers c
    ON 
      s.customer_id = c.customer_id
    GROUP BY 
      c.state
    ORDER BY 
      1;

The result is as follows:

Figure 4.30: Result of sales by state

  1. Identify the top five best dealerships in terms of the most units...
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