Netflix Dataset Analysis & Visualization

This project performs an Exploratory Data Analysis (EDA) on a Netflix dataset using Python. It explores various insights about the content available on Netflix through visualizations.

---

Project Objectives

• Clean and preprocess the Netflix dataset
• Analyze:
  • Distribution of Movies vs TV Shows
  • Proportion of content ratings
  • Movie duration patterns
  • Release trends over the years
  • Top contributing countries
  • Yearly comparison of Movies vs TV Shows

---

Dataset

The dataset (netflix_dataset.csv) includes the following relevant columns:

• type: Indicates whether the title is a Movie or TV Show
• title: Name of the content
• country: Country of origin
• release_year: Year the title was released
• rating: Content rating (e.g., TV-MA, PG, etc.)
• duration: Duration in minutes (for Movies) or seasons (for TV Shows)
• File: netflix_dataset.csv
• Source: Kaggle - Netflix Shows Dataset

---

Technologies Used

• Python
• pandas
• matplotlib

---

Visualizations

The notebook generates the following plots:

1. Content Type Distribution – Bar chart showing the count of Movies vs TV Shows.
2. Rating Distribution – Pie chart illustrating the proportion of different content ratings.
3. Movie Duration Distribution – Histogram showing the distribution of movie lengths.
4. Titles Released Per Year – Scatter plot of number of titles released annually.
5. Top 10 Countries – Horizontal bar chart showing countries with the most titles.
6. Movies vs TV Shows Over Time – Subplot comparing yearly trends in Movies and TV Shows.

---

How to Run

1. Clone this repository:

git clone https://github.com/your-username/netflix-eda.git
cd netflix-eda