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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.
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DataFrameas
df
variable
SELECT f.title, r.imdb_score
FROM cinema.films AS f
LEFT JOIN cinema.reviews AS r
ON f.id = r.film_id
WHERE imdb_score > 8.5;
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DataFrameas
df
variable
SELECT title, country, release_year
FROM cinema.films
WHERE country = 'Germany' AND release_year > 2010;
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DataFrameas
df
variable
SELECT country, COUNT(ID) AS number_of_films
FROM cinema.films
GROUP BY country;