DataBaes are looking at the correlation between IMDB ratings and title genres in Netflix. We followed ETL to clean our data so it can be analyzed.
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Extract: Pulled CSV files using Python/Pandas from the below websites:
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Transform: To transform our data we started by analyzing the above CSV files and narrowing the information. We filtered and dropped unwanted columns and null values from the netflix-shows data to narrow our dataset to eight columns: show_id, type, title, country, data_added, release_year, rating, and listed_in.
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Load: Our final dataframe is housed in a relational database created in pgAdmin titled DataBaes. We chose a relational database to support the table and row structure of our dataframe. This final database includes information about Netflix titles and also reflects viewer reviews from IMDb.
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More in depth analysis and appendix can be found in the ETL_Project-Netflix_Ratings_and_Production folder in the main repository.