Description of rows and columns for Netflix Movies and TV DatasetÂ
This dataset lists titles available on Netflix, including both movies and TV shows, with useful metadata for each.
show_id
Unique ID for each entry (e.g., s1, s2).
type
Indicates whether the title is a Movie or TV Show.
title
The name of the movie or show.
director
Director's name(s); may be blank.
cast
List of actors; can be missing.
country
Country of production; may list multiple.
date_added
When the title was added to Netflix (e.g., January 1, 2020).
release_year
Year the content was originally released.
rating
Content rating (e.g., TV-MA, PG, R).
duration
For movies: runtime in minutes (e.g., 90 min),
For TV shows: number of seasons (e.g., 2 Seasons).
listed_in
Genre/categories like Comedies, Documentaries, etc.
description
Short summary of the content.
Interesting Observations About Dataset
More Movies than TV Shows
There are significantly more movies than TV shows in the dataset
This shows that Netflix has more individual films than episodic content
Top Countries
The most frequent countries listed are United States India and United Kingdom
Netflix has a strong presence in these countries in terms of content production
Most Frequent Directors
Some directors like Raul Campos and Marcus Raboy appear frequently
They often direct comedy specials and recurring series
Popular Content Ratings
The most common ratings for movies are TV MA and PG 13
For TV shows the common ratings are TV MA and TV 14
This shows a focus on teen and adult audiences
Content Addition Trends
There is a noticeable increase in content added between 2017 and 2020
Netflix was expanding its library rapidly during this time
TV Show Duration
Many TV shows have just 1 or 2 seasons
This suggests that there are many limited series or short run shows
Top Genres
The most common genres listed are Dramas Comedies Documentaries and International TV Shows
These appear often in the listed in column
Missing Data
Fields like director cast and country are often missing or blank
This is especially common for older titles or Netflix Originals
Old vs New
The earliest release year in the dataset is 1925
However most of the content is from the year 2000 onwards
Global Reach
Many titles are marked as international content
This shows that Netflix is targeting global audiences and promoting regional productions