Inspired by the Uber Coding Challenge, this web app provides a way to find nearby food trucks in San Francisco.
The app is hosted on Github Pages here.
python -m SimpleHTTPServer 8080 and going to
A user can do a general browse through the map selecting filters such as food categories or distance to help narrow their search. They can also input their location to visually see what food trucks are nearby to them. On-click of a food truck marker, it pulls up the name, the address, and the main type of food the truck is selling. If more fields in the dataset were available, I would have tried to either provide a website or a contact number so that a user could find out more about a particular food truck.
Data processing, especially food category generation was handled using R, a tool I'm most comfortable with to handle data manipulation tasks. Because of the limitations of the dataset, there could definitely have been more features like additional filters and reviews shown.
Note for the reader:
While my primariy interests are in data science and data engineering, one of the key aspects of those roles is the ability to be able to tell a story with the data. This can involve creating visualizations and tools that can help communicate whatever data is provided. Thus, even though web development and frontend work are not my main forte (I've actually only dabbled in these technologies in the past year so am still quite fresh!), they are skills worth having and developing and I'm glad I was able to showcase some of them through this app.
Feel free to reach out to me on LinkedIn!