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 |
# Importing pandas and matplotlib
import pandas as pd
import matplotlib.pyplot as plt
# Read in the Netflix CSV as a DataFrame
netflix_df = pd.read_csv("netflix_data.csv")# Start coding here! Use as many cells as you like
netflix_subset = netflix_df[netflix_df["type"] == "Movie"]plt.hist(netflix_subset["country"])
plt.show()# Filter the to keep only movies released in the 1990s
# Start by filtering out movies that were released before 1990
subset = netflix_subset[(netflix_subset["release_year"] >= 1990)]
print(subset['release_year'].head())# Filtering out movies that were released on or after 2000
movies_1990s = subset[(subset["release_year"] < 2000)]
print(movies_1990s['release_year'].head())plt.hist(movies_1990s["duration"])
plt.title('Distribution of Movie Durations in the 1990s')
plt.xlabel('Duration (minutes)')
plt.ylabel('Number of Movies')
plt.show()duration = 100# Filter the data again to keep only the Action movies
action_movies_1990s = movies_1990s[movies_1990s['genre'] == 'Action']# Filter data for short action movie duration less than 90 minutes
short_movie_count = 0
for label, row in action_movies_1990s.iterrows():
if row['duration'] <90:
short_movie_count = short_movie_count + 1
else:
short_movie_count = short_movie_count
print(short_movie_count)