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 and numpy
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
# Read in the Netflix CSV as a DataFrame
netflix_df = pd.read_csv("netflix_data.csv")
# For filtering shows released in the 1990s and storing in nineties
nineties = netflix_df[np.logical_and(netflix_df['release_year'] >= 1990,
netflix_df['release_year'] <= 1999)]
#For filtering nineties into movies only and storing in nineties_movies
nineties_movies = nineties[nineties['type'] == 'Movie']
#Checking frequent movie duration using mode()
duration =int( netflix_df['duration'].mode().iloc[0])
print("The frequent movie duration in the 1990s is " + str(duration))
#visualizing data
plt.scatter(nineties_movies.index, nineties_movies['duration'])
plt.title("Investigating Netflix Movies",color = 'r')
plt.ylabel("Duration of Movies")
plt.xlabel("Number of Movies")
plt.yticks(range(0, 220, 20))
plt.xticks(range(0,4900,500))
plt.show()# Counting movies under 90 mins
short_movie = nineties_movies[nineties_movies['duration'] < 90]
#Filtering action movies
short_action = short_movie[short_movie['genre'] == 'Action']
#Counting short action movies
short_movie_count = short_action.shape[0]
print("The number of short action movies is " +str(short_movie_count))