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