About this project
City Selector was created for the 2020 Datathon. It was created using a Python notebook, Pandas, and Plotly.express. It asked users basic questions about what was important to where they lived, and suggested a city for them based on their responses, as well as a color-coded map of the best places for them to live. It was my first delve into data science computing.
My work
- Adjusted the algorithm to get reasonable answers
- Scoured the internet for public, relevant data sets
What I learned
- Python libraries (Pandas and Plotly.express)
- How hard it is to find nice, publically available datasets!
Room for improvement
- Advancing algorithms used for analysis