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!
netflix_df = pd.read_csv("netflix_data.csv")
# Filter the data (remove TV Show)
netflix_subset = netflix_df[netflix_df["type"] == "Movie"]
# Keeping only the columns title, country, genre, release_year, and duration
netflix_movies = netflix_subset[['title', 'country', 'genre', 'release_year', 'duration']]
# Filter movies that are shorter than 60 minutes
short_movies = netflix_movies[netflix_movies['duration'] < 60]
colors = []
# Loop and if/elif statements
for label, row in netflix_movies.iterrows():
if row["genre"] == "Children":
colors.append("blue")
elif row["genre"] == "Documentaries":
colors.append("green")
elif row["genre"] == "Stand-Up":
colors.append("red")
else:
colors.append("yellow")
# Visualization
fig = plt.figure(figsize=(12,8))
plt.scatter(x="release_year",y="duration", c=colors, data=netflix_movies)
plt.title("Movie Duration by Year of Release")
plt.xlabel("Release year")
plt.ylabel("Duration (min)")
plt.show()Are we certain that movies are getting shorter?
answer = "maybe"Because based on the visualization above, the results obtained are still ambiguous, because if you look at the data distribution in 2020, there are still two possibilities for long and short duration. So it cannot be concluded whether it is shorter or not. More observations are still needed.