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Intermediate SQL

Here you can access every table used in the course. To access each table, you will need to specify the cinema schema in your queries (e.g., cinema.reviews for the reviews table.

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
df
variable
-- Add your own queries here
SELECT *
FROM cinema.reviews
LIMIT 5

Explore Datasets

Use the descriptions, films, people, reviews, and roles tables to explore the data and practice your skills!

  • Which titles in the reviews table have an IMDB score higher than 8.5?
  • Select all titles from Germany released after 2010 from the films table.
  • Calculate a count of all movies by country using the films table.
SELECT
  categoryname,
  filmtitle,
  COUNT(*) rental_count
FROM (SELECT
  f.title filmtitle,
  rental_id rentalid,
  c.name categoryname
FROM category c
JOIN film_category fc
  ON c.category_id = fc.category_id
JOIN film f
  ON fc.film_id = f.film_id
JOIN inventory i
  ON f.film_id = i.film_id
JOIN rental r
  ON i.inventory_id = r.inventory_id
GROUP BY 1,
         2,
         3
ORDER BY 2) sub
GROUP BY 1,
         2
ORDER BY categoryname
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DataFrameas
df
variable
SELECT
  categoryname,
  filmtitle,
  COUNT(*) rental_count
FROM (SELECT
  f.title filmtitle,
  rental_id rentalid,
  c.name categoryname
FROM category c
JOIN film_category fc
  ON c.category_id = fc.category_id
JOIN film f
  ON fc.film_id = f.film_id
JOIN inventory i
  ON f.film_id = i.film_id
JOIN rental r
  ON i.inventory_id = r.inventory_id
GROUP BY 1,
         2,
         3
ORDER BY 2) sub
GROUP BY 1,
         2
ORDER BY categoryname
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