This project visualizes gender discrepancies in the film industry. Itincludes user-interactive and dynamic, animated visualizations of600+ IMDb movies. Metadata-rich IMDb movie conversations andratings datasets found on kaggle contribute to analyses of female vs. male dominance in movie scripts and leading roles. Readingbetween the lines of the scripts allows for both breadth and depth inunderstanding the dynamics of gender in Hollywood.
- Rachael Fuchs (rfuchs)
- Alizée Schoen (amschoen)
- Claire Yin (yinc)
https://6859-sp21.github.io/final-project-movisualization/
https://drive.google.com/file/d/1No-gb-QkLQry5Llw0wKojIxfib60sHu-/view?usp=sharing
https://github.com/6859-sp21/final-project-movisualization/blob/main/final/Movisualization.pdf
First we all brainstormed ideas and looked for datasets seperatly, and decided on our final proposal together. Once we had an idea on what to do we seperated tasks, and set milestones together. A breif overview of how we split the main tasks is described below. After we had our main tasks done, we each helped eachother debug, refine and add on the graphs.
Main tasks:
- Cleaning/merging the data: Claire
- Line page: Claire
- Credits Position page: Rachael and Alizee
- Year page: Alizee
- Rating page: Rachael and Alizee
- Main page/styling: All