The purpose of this project was to gather movie data from both wikipedia and kaggle and create a database that students can use to preform there own analysis. In order to do these, I extracted the neccessary data from Wikipedia and Kaggle, used python's pandas library to transform the data into a working dataframe, and then loaded it to PostgreSQL for students to use it.

After completing the extract, transform, and load process, I had a database with two tables: one for movies and one for ratings. The movies table consists of 31 columns holding a range of information for 6048 different movies.

The ratings table consists of 5 different columns holding a range of information on over 26 million individual user ratings.

Together, students will have a chance to preform various different analysis from these tables to derive all sorts of interesting insights.