Project: Investigating Netflix Movies

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!

import pandas as pd

# Import the data into the notebook for analysis
data = pd.read_csv("netflix_data.csv")
netflix_df = pd.DataFrame(data)
netflix_df.head()

Perform an exploratory data analysis

# shape of the data frame
netflix_df.shape

# check the data types
netflix_df.dtypes

# Check the columns
netflix_df.columns

netflix_df.info()

# get the general statistics
netflix_df.describe()

Filter the data to remove TV shows and store as netflix_subset

# Filter the data to remove TV shows and store as netflix_subset
netflix_subset = netflix_df[netflix_df["type"] == "Movie"]
netflix_subset

Investigate the Netflix movie data, keeping only the columns "title", "country", "genre", "release_year", "duration", and saving this into a new DataFrame called netflix_movies.

netflix_movies = netflix_subset[['title','country','genre','release_year','duration']]
netflix_movies

Filter netflix_movies to find the movies that are shorter than 60 minutes, saving the resulting DataFrame as short_movies; inspect the result to find possible contributing factors.

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