Data Science Project

2. Overview
Hypothesis
Methods
Tools
Future Development
Implications

3. HYPOTHESIS
Which universities in the U.S. have the highest density of highly-rated bars
and restaurants around them?

4. The 30 Universities
● Brown University
● California Insititute of Tech
● California Polytechnic State University
● Columbia University
● Cornell University
● Georgia Institute of Tech
● Harvard / MIT
● Harvey Mudd College
● Princeton University
● Purdue University
● Rensselaer Polytechnic Institute
● Rice University
● Stanford
● UCLA
● UCSD
● University of Maryland College Park
● University of Massachusetts Amherst
● University of Michigan Ann Arbor
● University of North Carolina Chapel Hill
● University of Pennsylvania (UPENN)
● USC
● University of Texas Austin
● University of Washington
● University of Waterloo
● University of Wisconsin Madison
● Virginia Tech

5. TOOLS
Python - Manipulate Yelp JSON dataset
Leaflet.js - Create heatmap of long/lat coord
Distinguish Restaurants & Bars from other businesses
Process data
Generate histograms

6. METHODS
Wisdom of the Crowds
Data Mining/Dredging
Data Visualization

7. Wisdom of the Crowds

8. Yelp Academic Dataset
'type': 'business',
'business_id': (a unique identifier for this business),
'name': (the full business name),
'neighborhoods': (a list of neighborhood names, might be empty),
'full_address': (localized address),
'city': (city),
'state': (state),
'latitude': (latitude),
'longitude': (longitude),
'stars': (star rating, rounded to half-stars),
'review_count': (review count),
'photo_url': (photo url),
'categories': [(localized category names)]
'open': (is the business still open for business?),
'schools': (nearby universities),
'url': (yelp url)

9. Data Mining/Dredging

10. Data Visualization

11. Data Visualization

12. Data Visualization

13. Implications
More users = ~ 3 stars
At least two “hot blocks” surrounding every
university
IVY League Universities ~ 3.35-3.42 star ratings

14. Future Development
Ethnographic Studies
Demographic Studies
Do hispanics tend to rank Mexican food restaurants higher than their caucasian counterparts?
Perhaps bias component that is associated with certain age groups & nationalities
Cultural differences shown via heatmaps (i.e Convoy St., Garnet Ave, Park Blvd)
Perhaps bias component that is associated with certain cultures and individual groups