oscarDataAnalysis is an application used for the extraction, structured representation, and future predictions of historical and future films, cast, directors, and other associated attributes of Oscar Award winners. It does this by scraping .CSVs, calling upon Third-Party APIs, and parsing through with Python and JavaScript.

git clone https://github.com/hone1er/oscarDataAnalysis.git

To deploy locally with Flask on localhost:

python app.py

To visit the hosted version:

### http://oscaranalysis.herokuapp.com

To Run the best picture prediction model, go to Priyas >> Run the Best_Movie_prediction.ipynb Here's the Direct link - https://github.com/hone1er/oscarDataAnalysis/blob/master/Priya's/Best_Movie_prediction.ipynb

To Run the scrapper script we used to script tmdb, films101, go to https://github.com/hone1er/oscarDataAnalysis/tree/master/chrisTestingGrounds >> Run
tmdb scrapper : tmdb_scraper.ipynb film101 : scrapingFilms101.ipynb

To Run the Bechdel Test Run >> https://github.com/hone1er/oscarDataAnalysis/blob/master/Spaar/final_shiz/user_input_predictions____many_seaborn_visualizations_from_my_dataset.ipynb

The vizualizations from Tableau are incorportaed in the website itself.

https://github.com/hone1er/oscarDataAnalysis/blob/master/requirements.txt

This was created for the UCBX Data Analytics Bootcamp Final Project by:

• Chris: https://github.com/chrisestrada007
• Joe: https://github.com/hone1er
• Kayti: https://github.com/kaytipotgieter
• Priya: https://github.com/Priyarag
• Spaar: https://github.com/galadREAL