Data Analysis on the Film Industry and Covid Impacts

Inspiration

Well first off we love movies! The film industry is suffering from COVID and it has impacted so many people which lead to our research questions.

What it does

Our program answers our research questions with ML from RandomTreeRegressor. Some of the research questions include trying to find correlations between different properties and box office performance.

How we built it

We built it using Python and different libraries such as RandomTreeRegressor.

Challenges we ran into

Our biggest challenge was trying to find a different ML that wasn't what we learned in class. We also spent a lot of time trying to merge the datasets into one large data frame.

Accomplishments that we're proud of

We are proud of that we have something that actually works. Sometimes with code, it's hard to show off our work but here we can show off our results using the visualizations we produced to answer our research questions.

What we learned

We learned so much! The biggest things are that more properties of movies affect box office other than the three that we picked. COVID always messed everything up. We also have to consider what makes a movie "successful" as it can mean so many different things.

What's next for Data Analysis on the Film Industry and Covid Impacts

We want to test to see correlations between other properties like age restriction, language, popularity, runtime, and more! Then, we want to use ML to see which feature has the most weight/importance for box office performance. Lastly, we want to compare movies from post COVID to pre covid to see how they were directly impacted.

Built With

• python