HEY BARBIE !

Welcome to our dazzling datastory. We’re hoping you’ll enjoy the ride! Here in Movie-land, we have selected the wonderful ‘Movie Dataset’. This will help us answer one question: could we have predicted Barbie’s blockbuster success over Oppenheimer’s this summer in theaters? We’ll look at this through different lenses. First, how have movie genres performed overall, and how could we relate that analysis to Barbenheimer’s success? Is there a general sentiment behind movie plots, and how does it relate to their revenue? Second, do movie fanatics express a certain affinity with movie characters' personalities, and does that contribute to movie popularity? The analysis will then all be reassed through a causality analysis. Don't leave on a cliffhanger! Stick around with us for an explosive conclusion, which may or may not inspire you for your next holiday cozy night.

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DATASETS

The prescribed data was manipulated, and following datasets were added:

  • MBTI Personality Type of Characters
  • IMDB Ratings
  • Barbie and Oppenheimer Movie Features and Plots

GITHUB

For all you nerds out there, here is the link to our GitHub repository. But for now, let’s skip to the analysis.

ETHICAL CONSIDERATIONS

Before analyzing our data, we would like to point out the following ethical considerations:

  • Privacy of Data
  • Data Manipulation
  • Data Presentation
  • Stakeholders

Let's Begin

Now that we have a general idea of project theme, let's dive into the analysis. Select 'Genre Analysis' from the menu above to get started, or click here.