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. Our friend has also been brushing up on their Python skills and has taken a first crack at a CSV file containing Netflix data. They believe that the average duration of movies has been declining. Using your friends initial research, you'll delve into the Netflix data to see if you can determine whether movie lengths are actually getting shorter and explain some of the contributing factors, if any.
You have been supplied with the dataset netflix_data.csv , along with the following table detailing the column names and descriptions:
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
# Start coding!
#load dataset
netflix_df = pd.read_csv('netflix_data.csv')
Displaying Basic informations about dataset
#No of rows and columns of dataset
netflix_df.shape#Displaying first few rows and shape
netflix_df.head()
#Displaying data types and non-null counts
netflix_df.info()#Changing date_added date dtypes respectively
netflix_df['date_added']= pd.to_datetime(netflix_df['date_added'])netflix_df.dtypes#Dataset summary statistics
netflix_df.describe()Accessing and Manipulating Data:
#Filtering to remove TV shows
netflix_subset = netflix_df[~netflix_df['type'].isin(['TV Show'])]
#netflix_subset few rows
netflix_subset.head()#netflix_subset rows
netflix_subset.shape#Accessing certain columns
netflix_movies = netflix_subset[["title", "country", "genre", "release_year", "duration"]]#Acessing short movies
short_movies = netflix_movies[netflix_movies["duration"] < 60]
short_movies.shape