Netflix_ Analysis
RoleData Analytics
Year2026
Project Details
Netflix has a large and diverse content library, with Movies significantly outnumbering TV Shows. Drama, International Movies, Comedies, and Documentaries are the most dominant genres on the platform. Netflix content comes from multiple countries, highlighting its global reach, with major contributions from the United States and India. A sharp increase in content addition after 2015 reflects Netflix’s rapid expansion strategy. TV-MA and TV-14 are the most common content ratings, indicating a strong focus on mature and teenage audiences. Genre trends show a preference for story-driven, emotional, and globally diverse content.
Skills
Data AnalyticsData VisualizationData WranglingExploratory Data AnalysisInsight GenerationMarket Trend Analysis
Tools
PythonPandasNumPySeabornMatplotlib
- This project performs Exploratory Data Analysis (EDA) on the Netflix dataset containing 8,807 movies and TV shows.
- The dataset includes attributes such as title, type, director, cast, country, release year, rating, duration, genres, and date added.
- Python libraries Pandas, NumPy, Matplotlib, and Seaborn were used for data cleaning, analysis, and visualization.
- The analysis begins with loading the dataset and examining its structure, data types, and overall shape.
- Missing values were identified and handled appropriately (e.g., filling country as Unknown and rating using the most frequent value).
- Date-related columns were converted into proper datetime format, and a new feature
year_addedwas created to analyze trends over time. - Descriptive statistics were generated to understand numeric distributions and categorical frequencies.
- The genre column was split to accurately analyze multi-genre content.
- Various visualizations were created to analyze:
- Additional insights were obtained by identifying top directors, longest-duration movies, genre trends over time, and correlations between numeric variables.
- Overall, this project provides a clear understanding of Netflix’s content diversity, growth patterns, and audience-focused strategy
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