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Netflix-Data-Analysis

Inetflix

Overview

Explore Netflix's content library through data analysis using Python and libraries such as Pandas, Matplotlib, and Seaborn.

Dataset

The dataset contains details about Netflix movies and TV shows, including 'title',' show_id', 'type', 'director', 'cast', 'country', 'date_added','release_year', 'rating', 'duration', 'listed_in', 'description'.

Key Questions

  1. Content Variety

    • What is the distribution of content types (movies vs. TV shows) on Netflix?
  2. Genre Preferences

    • Which genres are most popular among Netflix users for TV shows and movies?
  3. Content Producers

    • Which countries are the major contributors to Netflix's content?
  4. Ideal Release Months

    • When is the best time to release content on Netflix?
  5. Year-wise Analysis

    • In which year did Netflix see the highest number of content releases?
  6. Viewer Ratings Analysis

    • What are the most common viewer ratings for Netflix content?
  • For more in-depth analysis and additional questions, please refer to the "Netflix Data Analysis" file.

Data Analysis

some of insights or key findings for the questions mentioned above. Include relevant graphs and visualizations.

  • When is the best time to release content on Netflix?

Ideal Release Months

Inetflix

Which countries are the major contributors to Netflix's content?

Content Producers

Inetflix

Code Structure

  • Data loading and preprocessing
  • Data analysis and exploration
  • Data visualization using Matplotlib and Seaborn
  • Interpretation and presentation of findings

📌Insight and Conclusion

  • Diverse Content Mix: Netflix offers a diverse range of content, with 69.6% movies and 30.4% TV shows.

  • Genre Insights: International TV Shows are a hit among the top TV shows, while Drama rules the movie category.

  • Top Content Providers: The United States, India, and the United Kingdom are the primary content producers on Netflix.

  • Best Release Months: For optimal content releases, focus on July, December, and September – they attract the most viewers.

  • Year-wise Peak: 2018 marked a peak in Netflix movie releases. It's an ideal reference for planning content.

  • Viewer Ratings: Netflix's most common rating is 'TV-MA,' indicating a significant collection for mature audiences. There's also content for 'TV-14,' 'TV-PG,' and 'R' fans.

  • Recommendation: To maximize engagement, prioritize International TV Shows, Drama movies, and mature content. Strategically release in July, December, or September, and monitor audience trends for consistent success.

    Thank You

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