Data Visualization and Exploratory Data Analysis in R with GWalkR

Every summer, Hollywood bets big on blockbusters. But which genres dominate? Do longer movies actually score better with audiences? Has “summer movie” quality improved over the decades or are we drowning in nostalgia? This report analyzes the TidyTuesday Summer Movies dataset (Week 31, 2024), sourced from IMDb via the TidyTuesday project. It consists of two tables from the same release: summer_movies — one row per movie, with title, year, runtime, average rating, and vote count. summer_movie_genres — one row per movie-genre pair (movies can belong to multiple genres), used to examine what kinds of films dominate the season. I merge these two tables to explore the intersection of genre, ratings, runtime, and era.

Workshop 3 - Data Structures Alberto Dorantes, Ph.D. Tec de Monterrey