Geographical and Temporal Analysis of Movie Genres
A GitHub pages website designed using Jekyll, containing interactive graphs of movie genre data from IMDb.
The Problem
Movie genre popularity shifts over time and varies by region, but this data is often presented in static, unengaging ways. The goal was to create an interactive platform that would allow users to explore the geographical and temporal trends of different movie genres in a visually compelling manner.
The Solution
A data visualization website was built using Jekyll and hosted on GitHub Pages. The site features a series of interactive charts and maps that allow users to filter movie data from IMDb by genre, year, and country. This provides a dynamic and exploratory experience, revealing insights into how genre preferences have evolved and spread globally.
My Process
The project began with data sourcing and cleaning from the IMDb dataset. We used plotly to create the interactive visualizations, focusing on charts that could handle both temporal and geographical data gracefully. The entire site was built as a static site to be easily deployed and maintained on GitHub Pages.