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Intermediate SQL practice with Cinema and a bit of Python
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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

    Unknown integration
    DataFrameavailable as
    df
    variable
    -- Add your own queries here
    SELECT *
    FROM cinema.reviews
    ORDER BY imdb_score DESC, num_votes DESC
    LIMIT 10
    This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.

    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.
    Unknown integration
    DataFrameavailable as
    df1
    variable
    This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
    import pandas as pd
    import numpy as np
    import seaborn as sns
    import matplotlib.pyplot as plt
    
    
    
    df_sorted= df.sort_values(['imdb_score', 'num_votes'], ascending=[False, False])
    
    df_top10= df_top10.head(10)
    
    df_top10