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SQL for Data Analytics

You're reading from  SQL for Data Analytics

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Pages 386 pages
Edition 1st Edition
Languages
Authors (3):
Upom Malik Upom Malik
Profile icon Upom Malik
Matt Goldwasser Matt Goldwasser
Profile icon Matt Goldwasser
Benjamin Johnston Benjamin Johnston
Profile icon Benjamin Johnston
View More author details

Table of Contents (11) Chapters

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics 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 3: Querying the customers Table Using Basic Keywords in a SELECT Query

Solution

  1. Open your favorite SQL client and connect to the sqlda database. Examine the schema for the customers table from the schema dropdown. Notice the names of the columns, the same as we did in Exercise 6, Querying Salespeople, for the salespeople table.
  2. Execute the following query to fetch customers 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 2.13: Emails of customers from Florida in alphabetical order
  3. Execute the following query to pull all the first names, last names, and email addresses for ZoomZoom customers in New York City in the state of New York. The customers would be ordered alphabetically by the last name followed by the first name:
    SELECT first_name, last_name, email
    FROM customers
    WHERE city='New York City...
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