🎬 Netflix EDA Project

📌 Project Description

• This project is an Exploratory Data Analysis (EDA) of the Netflix Movies and TV Shows dataset.
• The goal is to explore the Netflix catalog identify trends in across years, countries, genres, ratings, and content duration.

🛠️ Tools & Libraries

• Python 3.11
• Pandas
• Numpy — data analysis and cleaning
• Matplotlib
• Seaborn — data visualization

📊 Analysis Workflow

• Load and inspect the dataset
• Data cleaning and preprocessing (duplicates, missing values, parsing dates and duration)

Exploration of:

• Movies vs TV Shows distribution
• Release years vs years added to Netflix
• Movie durations and number of TV show seasons
• Top countries by content production
• Genres and categories distribution
• Age ratings distribution
• Top directors and actors

🔎 Key Insights

• 📈 Netflix rapidly expanded its library between 2015 and 2020.
• 🎥 Most movies are 80–120 minutes long.
• 📺 The majority of TV shows have only 1 season.
• 🌍 USA and India dominate Netflix content production.
• 🎭 Most common categories include International Movies, Dramas, Comedies.
• 🔞 A large share of Netflix content targets mature audiences (TV-MA, TV-14).

📂 Project Structure

netflix_eda_project/ ├─ data/ # dataset (optional, can be downloaded separately) ├─ netflix_eda.ipynb # Jupyter Notebook with analysis ├─ README.md # project description ├─ requirements.txt # dependencies └─ .gitignore # ignore rules for Git

🔗 Dataset

The dataset is available on Kaggle:

• Netflix Movies and TV Shows

💼 Business Relevance

• Understanding Netflix’s content distribution helps identify strategic markets, content preferences, and opportunities for localized production.
• This EDA can guide decisions for media acquisition and audience targeting.

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