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
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.).
Add notes about the concepts you've learned and SQL cells with queries you want to keep.
Add your notes here
-- Add your own queries here SELECT * FROM cinema.reviews ORDER BY imdb_score DESC, num_votes DESC LIMIT 10
roles tables to explore the data and practice your skills!
- Which titles in the
reviewstable have an IMDB score higher than 8.5?
- Select all titles from Germany released after 2010 from the
- Calculate a count of all movies by country using the
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