Netflix - Exploratory Data Analysis

Overview

Embark on a deep-dive exploration into the vast digital landscape of Netflix through my meticulously developed Exploratory Data Analysis (EDA) project. This comprehensive investigation was meticulously crafted to transform a raw, complex dataset into a clear narrative of the streaming platform's content strategy and user engagement. The project journey encompasses a rigorous data-wrangling phase, where I systematically addressed data quality by cleaning inconsistencies, strategically treating missing values to preserve analytical integrity, and expertly unnesting key comma-separated columns to unlock deeper, more granular insights. By applying a suite of advanced analytical and visualization techniques, this analysis successfully illuminates compelling trends, revealing the intricate dynamics of content distribution, genre popularity over time, and the evolving nature of Netflix's global media library. The ultimate deliverable is a rich, insight-driven portrait that decodes the patterns shaping the modern on-demand entertainment experience.

Business Problem

Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in diferent countries

Project Objective:

Conduct Exploratory Data Analysis (EDA) on the dataset to uncover insights. Provide actionable recommendations to support business growth.

Dataset

Explore the dataset located in the "raw_netflix_data" directory, providing a rich source for analysis.

Key Highlights:

1. Exploration of Data and Data Cleaning

2. Non - graphical Analysis

3. Insights based on finding

4. Recommendation

Tools Used:

• Language - Python
• Libraries - Pandas, Numpy, Seaborn, and Matplotlib

Key Finding:

• Year 2015 marks the drastic surge in the content getting uploaded on Netflix. It continues the uptrend since then and 2019 marks the highest number of movies and TV shows added on the Netflix. Year 2020 and 2021 has seen the drop in content added on Netflix, possibly because of Pandemic. But still , TV shows content have not dropped as drastic as movies.

• Since 2018, A drop in the movies is seen , but rise in TV shows is observed clearly. Being in continuous uptrend , TV shows surpassed the movies count in mid 2020. It shows the rise in popularity of tv shows in recent years. Netflix has movies from variety of directors. Around 4993 directors have their movies or tv shows on Netflix.

• Netflix has movies from total 122 countries, United States being the highest contributor with almost 37% of all the content.

• The release year for shows is concentrated in the range 2005-2021. 90 mins - 120 mins is the range of movie durations, excluding potential outliers.

-1-3 seasons is the range for TV shows seasons, excluding potential outliers. Various ratings of content is available on Netflix, for the various viewers categories like kids, adults , families. Highest number of movies and TV shows are rated TV-MA (for mature audiences).

Recommendations:

• Global Expansion:
  • Strengthen India (movies) and Japan/Korea (TV shows)
  • Develop local content for regional preferences
  • Maintain US as diverse content hub
• Production:
  • Partner with top genre-specialized directors
  • Balance new releases with strategic acquisitions
  • Optimize for post-pandemic recovery

Tableau Representation :-

https://public.tableau.com/app/profile/jiyansh.garg/viz/NetflixDashboardAnalysis_17628395088820/Dashboard1?publish=yes