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Movie Data

Group 18: Jack Kraska, Paula Andrei Chiang, Megha Rajan, Lauryn Larzo, Braydon Stern

Case 3

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Meet Jessica

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Occupation: Business Data Analyst at WPC+

Context: WPC+ is a new streaming platform that is currently in development

Objectives:

  • Identify a set of blockbuster movies that people will watch based on IMDb scores
  • Examine what variables impact IMDb scores the most as WPC+ has plans to create its own movie content in the future
  • Report back with Recommendations

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Data Variables

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  • Duration
  • Budget
  • Color (Black/White or Color)
  • Director, Actor 1, Actor 2, Actor 3, Cast Total, Movie Facebook Likes
  • Number of Critics, Number of Users that voted for the movie, Number of Users that reviewed the movie
  • Year
  • Face Number in Poster
  • Aspect Ratio

IMDb score

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Data Cleaning

4468 rows of data

  1. Checked for missing variables via Columns Viewer
    1. found 599 rows of data missing for ‘Gross’ so we excluded it
  2. Test for any abnormalities in the distribution
  3. Did a multivariate analysis and eliminated outliers via Mahalanobis Distances

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Questions and Data Analysis

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Is there a correlation between movie duration and IMDb score? (Black & White vs. Color)

Filtered by

color of the movie

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Does the number of critic reviews affect the IMDb Score? (Black & White vs. Color)

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Let’s start by looking at the analysis for Black & White movies

Next, let’s look at Color movies

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Does the number of critic reviews affect the IMDb Score? (Black & White vs. Color) Cont.

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Key Takeaways:

  1. Although we only have 60 points of black & white movie data compared to the 1840 points for colored movies, the r² fit line for B&W movies is twice as accurate as the fit line for colored movies.

  • B&W movies are more likely to have a higher IMDb score compared to colored movies with a similar number of critic reviews.

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Does the number of Movie Facebook likes have a correlation with the IMDb Score?

  • Filtered to include 2004 to 2016

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Which years/movies have the best IMDb score?

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How do certain variables affect the IMDb score?

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Jessica’s Recommendations/

Conclusion

  • If WPC+ wants to generate its own content, the budget and the duration of the movie are important factors to consider with regards to the success of a movie.
    • duration by color movies is more important than black and white when it comes to a higher IMDb score
    • number of critics and movie facebook likes does correlate with IMDb score regardless of the color of movie
  • Based on IMDb score, it would be good to include movies from the following years: 1933, 1959, 1964, 1969, and 1973

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Citations

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Thank You!

Questions?

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