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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.

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
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 COUNT(film_id) AS count_film_id
FROM reviews;

Te permite contar asi la cantidad de filas que hay en una columna. Es imp el SELECT COUNT

SELECT COUNT(birthdate) AS count_birthdate
FROM people;

TE cuento las filas que tienen una bithdate. Si en vez de birthdate, pongo * cuenta todas las filas de esa tabla. El resultado lo pone como una cuenta de numeros.

SELECT COUNT(language) AS count_languages, COUNT(country) AS count_countries
FROM films;
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DataFrameas
df1
variable
count_languages	count_countries
4957	4966

Si queres contar dos cosas en una sola vez.

SELECT COUNT(DISTINCT language) AS count_distinct_languages
FROM films;
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DataFrameas
df2
variable
count_distinct_languages
47

Te cuenta solo los diferentes.