Eat Vegas

Project Purpose:

To provide a restaurant visualization for tourists in Las Vegas looking for neighborhoods with large clusters of good restaurants.

Context:

3 million people come to Las Vegas every month in search of a perfect break. To their journey, an enjoyable dining experience concludes their day and makes the trip truly memorable. Yet spending time scrolling for a restaurant in the middle of having fun can disturb their mood and relaxing experience. Eat Vegas makes it easy by allowing tourists to discover food by genre and region and find what Vegas has to offer in a restaurant visualization map. With satisfying dinners planned out, we hope to give people a more relaxing travel experience in Las Vegas.

Source of Data:

We downloaded the dataset from the public Yelp JSON dataset reviews. This dataset is frequently used as the source for Yelp Algorithm (https://www.yelp.com/dataset/download)

Team Information:

  • Justin Chan - Sophomore (Intended INFO), New York
  • Nick Zhou - Sophomore (Intended HCDE), China
  • Tyler Marcinyshyn - Junior (Intended INFO), Washington
  • Willa Yang - Junior (HCDE), China

Tutorial

Users can select their desired food genre and regions of Las Vegas on the side panels (on the left) to filter restaurant results on the main panel visualization (on the right).

Additionally, users can click on the summary tabs to find more statistics results from searching the restaurants in the region.

Deliverable App Link:

Our app is published on the Shiny community: https://tylo-zane.shinyapps.io/eat-vegas/