Exploratory Data Analysis (EDA) and insights from a Netflix movie dataset, focusing on genre trends, popularity patterns, and year-wise movie production. This beginner-friendly Data Science project involves data cleaning, visualization, and analysis to uncover meaningful insights from the dataset.
This analysis answers key questions such as:
- What is the most frequent genre?
- Which genres are the most popular?
- Which movie has the highest and lowest popularity?
- Which year saw the most movie releases?
The dataset has been processed and visualized using Python libraries like Pandas, Matplotlib, and Seaborn.
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
- Most Frequent Genre: Drama (appeared in over 14% of movies)
- Highest Popular Genre: Drama (dominates popular vote movies too)
- Most Popular Movie: Spider-Man: No Way Home
Genres: Action, Adventure, Science Fiction - Least Popular Movie: The United States, Thread
Genres: Music, Drama, War, Sci-Fi, History - Most Active Year: 2020