Inspiration
The inspiration was given to us by our DSSS club at Simon Fraser University
What it does
Out of the provided Airbnb dataset, I analysed the total number of listings and came up with the ideal neighbourhood for the fictional company, DDD, to invest in their short-term rental purchases.
How we built it
I used Python to read and sort through the CSV files and used plain statistical analysis for the rest.
Challenges we ran into
CSV files were unfamiliar to me, so I had to do research on how to properly read them with Python. Being my first hackathon, I was also overwhelmed by the large amounts of data.
Accomplishments that we're proud of
I'm proud that at the end of the day, I was able to get a good grasp of all the different statistics and compile them into one concise summary.
What we learned
Mainly, I learnt how to read and interpret the datasets. I also learnt how to present and explain them to a wider audience in a clearer way than just showing a list of unoraganised numbers.
