Kirk has read about the scarcity of affordable housing in the Boston area, and we set out to explore potential fix to ameliorate the problem.
What it does
There are several components:
we analyzed mathematically the optimal way to distribute Affordable Housing benefits to the underprivileged
we uses pandas to filter and analyze data in the 2013-2017 PUMS dataset (167315 entries of household listings in Massachusetts)
we sampled the household data to simulate a distribution and collects results on the geographical distribution of the dispersion of funds
How we built it
Challenges we ran into
We have occasional conflicting views regarding to where the project leads, and it was hard to resolve them
We also attempted to distribute the workload evenly, but the division of labor created chaos because we have expertise in entirely different fields
Accomplishments that we're proud of
We were able to do math, yay!
We were also able to learn a lot regarding to database processing and information summary.
What we learned
The Boston Housing Authority is taking the correct method of distributing Affordable Housing benefits
What's next for The Boston Housing Crisis
If we have time, we will revise the code because the current code is written by somebody who has just learned Python and has a very poor organization.