Exploring Decades of Cinema

Movie Analyzer

Team Elegant Togepi
Gowri Namratha, Yawen Tan

2023-12-04

Topic and motivation

  • Topic: Our project is to explore the intricacies of the movie industry by creating an interactive Correlation Analysis Tool for exploring relationships between movie parameters and crafting Visual Insights through captivating visualizations.

  • Motivation: The cinematic world is a fascinating blend of art and commerce. Our motivation lies in unraveling this blend, providing insights into evolving trends, genre preferences, and financial successes of popular movies spanning four decades (1975-2015).

About the data

  • The dataset encompasses movie titles, poster URLs, genre details, run time, MPAA ratings, IMDb ratings, Rotten Tomato audience/critic ratings, and box office receipts (adjusted for inflation).

  • It originated from a CrowdFlower data categorization project, specifically tasked with gathering information on the top ten movies annually from 1975 to 2015. With 437 rows, the dataset offers a comprehensive perspective on popular movies, making it a valuable resource for analyzing trends, ratings, and financial performance in the movie industry over the specified 40-year period.

Highlights from EDA

Shiny app

https://yawentan.shinyapps.io/project-elegant-togepi/

Shiny applications not supported in static R Markdown documents

Inference

  • We observed a diverse distribution of IMDB ratings, indicating a range of audience preferences. Film length exhibited variations, with outliers suggesting unique storytelling approaches or genres.

  • The scatterplot unveiled a moderate correlation between IMDB ratings and box office, emphasizing the influence of audience perception on commercial success.

  • The Shiny app enhances interactivity, allowing users to explore movies dynamically. Key takeaways include intriguing genre-rating correlations and insights into the impact of film length on audience appreciation.

Conclusions + future work

  • Our exploration into the movie industry uncovered valuable insights into trends and financial performance. The Correlation Analysis Tool and Visual Insights provided a nuanced understanding of complex relationships.

  • For future work, we could expand the dataset to include recent years, integrate user reviews, and develop predictive models for box office success based on identified correlations.