Netflix! What started in 1997 as a DVD rental service has since exploded into one of the largest entertainment and media companies.
Given the large number of movies and series available on the platform, it is a perfect opportunity to flex your exploratory data analysis skills and dive into the entertainment industry.
You work for a production company that specializes in nostalgic styles. You want to do some research on movies released in the 1990's. You'll delve into Netflix data and perform exploratory data analysis to better understand this awesome movie decade!
You have been supplied with the dataset netflix_data.csv, along with the following table detailing the column names and descriptions. Feel free to experiment further after submitting!
The data
netflix_data.csv
| Column | Description |
|---|---|
show_id | The ID of the show |
type | Type of show |
title | Title of the show |
director | Director of the show |
cast | Cast of the show |
country | Country of origin |
date_added | Date added to Netflix |
release_year | Year of Netflix release |
duration | Duration of the show in minutes |
description | Description of the show |
genre | Show genre |
import pandas as pd
# Load the data
netflix_df = pd.read_csv("netflix_data.csv")
# Convert 'release_year' to numeric, if not already
netflix_df['release_year'] = pd.to_numeric(netflix_df['release_year'], errors='coerce')
# Filter for movies released in the 1990s
movies_1990s = netflix_df[(netflix_df['release_year'] >= 1990) & (netflix_df['release_year'] < 2000)]
# Convert 'duration' to numeric, if not already (remove any non-numeric characters)
movies_1990s['duration'] = pd.to_numeric(movies_1990s['duration'], errors='coerce')
# Find the most frequent movie duration in the 1990s
most_frequent_duration = movies_1990s['duration'].mode()[0] # Mode returns a Series, take the first value
# Count the number of short action movies (duration < 90 minutes)
short_action_movies_count = movies_1990s[(movies_1990s['duration'] < 90) & (movies_1990s['genre'] == 'Action')].shape[0]
# Print results
print("Most Frequent Movie Duration (in minutes):", round(most_frequent_duration))
print("Number of Short Action Movies Released in the 1990s:", short_action_movies_count)
# Save results
duration = round(most_frequent_duration) # Save as integer
short_movie_count = short_action_movies_count # Save as integer