Inspiration

We wanted to study the housing situation en BCN using different factors.

What it does

Some plots describing the situation between 2015-2018 and initial regression thoughts

How we built it

Using python notebooks

Challenges we ran into

Python tools for data science learning curve and a lot of problems trying to do the preprocessing.

Accomplishments that we're proud of

We manage to learn a lot.

What we learned

We learned to use pandas, matplotlib, sklearn and other python tools for data science

What's next for Housing BCN

Prediction for future years focusing on students and other data that we could use.

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