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AnalyzingMovieData and Business Intelligence
- 1. Analyzing Data From Movielens Presents by Qijie Pan Junwei Guan Cory Matthew ,Hayward
- 3. Problem 1 "Popular" Movie? • What is "POPULAR"?
- 4. Problem 1.1 "Popular" Movie? Most rating numbers?
- 5. Problem 1.1 "Popular" Movie? Highest rating scores?
- 6. Problem 1.1 "Popular" Movie? Highest rating scores + Most rating numbers! top 10 highest films among top 50 most rated movies
- 7. Problem 1.2 Which groups to please? Young People Or the Old?
- 8. Problem 2 Investigation to histograms Filtered BY "size()>100"
- 9. Problem 3 Correlation: Men versus Women All samples:
- 10. Problem 3 Correlation: Men versus Women Filtered by rated larger than 10:
- 11. Problem 3 Correlation: Men versus Women Filtered by rated larger than 20:
- 12. Problem 3 Correlation: Men versus Women Filtered by rated larger than 30:
- 13. Problem 3 Correlation: Men versus Women Filtered by rated larger than 40:
- 14. Problem 3 Correlation: Men versus Women Filtered by rated larger than 50:
- 15. Problem 3 Correlation: Men versus Women Filtered by rated larger than 60:
- 16. Problem 3 Correlation: Men versus Women Filtered by rated larger than 70:
- 17. Problem 3 Correlation: Men versus Women Filtered by rated larger than 80:
- 18. Problem 3 Correlation: Men versus Women Filtered by rated larger than 90:
- 19. Problem 3 Correlation: Men versus Women Filtered by rated larger than 100:
- 21. Problem 4 Business Intelligence Occupation & Favorite Genres Small Number ! ! ! ! Only Two Choices? ? ? ?
- 22. Problem 4 Business Intelligence Occupation & Favorite Genres Marketing Plans ! ! ! ! Advertisement ----Twitter, Facebook ----Oriented Deliverey
- 24. Problem 4 Business Intelligence Occupation & Favorite Genres What is MORE . . . 100% prefer Drama 95% prefer Comedy 55% prefer Comedy&Rommance For All the 20 Occupations
- 25. Problem 4 Business Intelligence Occupation & Favorite Genres Questions can be Answered From the DATA : The Most Popular Genres Oriented Advertisements Preferences by Gender,Age... ZIP code Regional Investment Strategies ! ------Audience Location Distribution ! ! !
- 28. Problem 4 Business Intelligence Occupation & Favorite Genres MORE Investment on Drama&Comedy More Focus on the OLD More investment in the East/West If I were a Data Scientist:
- 29. Q & A