This project analyzes Netflix’s content library to understand patterns in content distribution, genres, ratings, and global production trends. Using data analytics and visualization tools, the analysis highlights how Netflix structures its content offerings and provides insights into viewer preferences and platform content strategy.
The objective of this project was to analyze Netflix’s dataset to identify trends in content types, ratings, genres, and country distribution. The goal was to uncover insights that help understand Netflix’s global content strategy and audience preferences.
Microsoft Excel • Python • Tableau • Kaggle Dataset
Data Analysis • Exploratory Data Analysis (EDA) • Data Visualization • Dashboard Development
An interactive Tableau dashboard was developed to analyze Netflix’s content distribution, genre popularity, and global trends.
The dataset used in this project was sourced from Kaggle and contains information about Netflix’s global content library, including movies and TV shows, their release years, genres, ratings, and production countries. This dataset was used to analyze content distribution and global trends.
Movies represent 68.42% of Netflix’s content library.
TV Shows account for 31.58% of the total content.
Top contributing countries include:
United States
India
United Kingdom
Japan
Canada
The most common ratings include:
TV-MA
TV-14
TV-PG
R
PG-13
This shows Netflix offers content across different audience age groups.
Common genres include:
Documentaries
Stand-Up Comedy
Dramas
International Movies
Kids’ TV
The number of movies and TV shows on Netflix has steadily increased over the years, reflecting Netflix’s continuous expansion of its content library.
The analysis provided insights into Netflix’s content distribution, genre trends, and global production sources. These findings highlight how Netflix balances diverse content offerings to meet varying viewer preferences while expanding its global reach.