Inspiration

Probability simulation because that was the only experience I had with manipulating data sets so I also learned what an ARIMA model is and decided to implement it.

What it does

Analyzed the given data set. It can take any excel spreadsheet(should be able to) and create .txt files which the code could then run and do an analysis for.

How we built it.

Python Anaconda for the backend, which was started first. Never had a plan to do frontend but later implemented frontend with js and html.

Challenges we ran into

Built a god object so every change made was much harder to do.

Accomplishments that we're proud of

It's functional. And it works for any Excel spreadsheet, so you can use it in the future. Will be fine-tuned and bug-fixed at a later time (if there are any) since it involves a god object (a class with far too many methods.)

What we learned

Have better abstraction. Will be more careful with the next project.

What's next for Analysis on the US space economy as a whole

Creating a better front end is a start. Implementing more models and maybe trialing it for larger datasets. Also plan to create proper abstraction for it because right now it is absolutely terrible coding practice.

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