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Introduction to SQL

Here you can access the books table used in the course.

Note: When using sample integrations such as those that contain course data, you have read-only access. You can run queries, but cannot make any changes such as adding, deleting, or modifying the data (e.g., creating tables, views, etc.).

Take Notes

Add notes about the concepts you've learned and SQL cells with queries you want to keep.

Add your notes here

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DataFrameas
df4
variable
-- Select the first 10 genres from books using PostgreSQL
SELECT genre 
FROM books
LIMIT 10
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DataFrameas
df3
variable
-- Your code to create the view:
CREATE VIEW library_authors AS
SELECT DISTINCT author AS unique_author
FROM books;

-- Select all columns from library_authors
SELECT *
FROM library_authors
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DataFrameas
df1
variable
-- Select unique authors and genre combinations from the books table
SELECT DISTINCT author, genre
FROM books;
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DataFrameas
df2
variable
-- Alias author so that it becomes unique_author
SELECT DISTINCT author AS unique_author
FROM books;
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DataFrameas
books
variable
-- Add your own queries here
SELECT * 
FROM books
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DataFrameas
df
variable
SELECT title, author
FROM books;

Explore Datasets

Use the books table to explore the data and practice your skills!

  • Select only the title column.
  • Alias the title column as book_title.
  • Select the distinct author names from the author column.
  • Select all records from the table and limit your results to 10.