Project: Investigating Netflix Movies

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

1. Load and inspect the Netflix data

# Importing pandas and matplotlib
import pandas as pd
import matplotlib.pyplot as plt
# Inspecting Netflix data
netflix_df = pd.read_csv('netflix_data.csv')

2. Filter the data for short movies

# Subseting movies dataframe
netflix_subset = netflix_df[netflix_df['type'] == 'Movie']
# Select useful column in netflix_subset
netflix_movies = netflix_subset[['title','country','genre','release_year','duration']]
# Filtering DataFrame by movies duration < 60
short_movies = netflix_movies[netflix_movies['duration'] < 60]

3. Assigning colors of movie genres for later plot

# Creating an empty list for colors
colors = []
# Using for loop and if/else statement to to assign colors to genres and appending it to the empty list above
for x, row in netflix_movies.iterrows():
    if row['genre'] == 'Children':
        colors.append('red')
    elif row['genre'] == 'Documentaries':
        colors.append('blue')
    elif row['genre'] == 'Stand-Up':
        colors.append('black')
    else:
        colors.append('purple')

# Plotting the movie duration by year using the genre colors created
fig = plt.figure(figsize=(12, 8))

plt.scatter(data=netflix_movies, x='release_year', y='duration', c=colors)
plt.title('Movie Duration by Year of Release')
plt.xlabel('Release year')
plt.ylabel('Duration (min)')
plt.show()

# Answer "Are we certain that movies are getting shorter?"
answer = 'yes'