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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

ColumnDescription
show_idThe ID of the show
typeType of show
titleTitle of the show
directorDirector of the show
castCast of the show
countryCountry of origin
date_addedDate added to Netflix
release_yearYear of Netflix release
durationDuration of the show in minutes
descriptionDescription of the show
genreShow genre
# Importing pandas and matplotlib
import pandas as pd
import matplotlib.pyplot as plt

# Read in the Netflix CSV as a DataFrame
netflix_df = pd.read_csv("netflix_data.csv")
netflix_df.head(5)

# The code below fiters movies in the 1990s
types_1990s = netflix_df.query("release_year >=1990 and release_year < 2000")

#Selecting type to me Movie
movies_only_1990s = types_1990s.query('type == "Movie"')

plt.hist(movies_only_1990s["duration"])
plt.title('Distribution of Movie Durations in the 1990s')
plt.xlabel('Duration (minutes)')
plt.ylabel('Number of Movies')
plt.show()

duration = 100

Short movies in the 1990s

The code below filters short movies less than 90 minutes in the 1990s


#Filter movies less than 90 minutes and genre is Action
short_movie_list_90s = movies_only_1990s.query('duration < 90 and genre == "Action"')

#count the number of rows in the list
short_movie_count = short_movie_list_90s.shape[0]

print(short_movie_count)