Date post: | 22-Jan-2018 |
Category: |
Food |
Upload: | ian-henshaw |
View: | 186 times |
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Making Restaurant Inspections Smarter
Me
Senior DBA at Wake County
13 years
Code for Raleigh Brigade Captain
Business Analytics student @ Wake Tech
Lover of craft beer and Tracy – not in that order
ChrisTheDBA – Gmail, Github, Slack, Twitter
Chicago
https://www.foodbornechicago.org/
Chicago
http://chicago.github.io/food-inspections-evaluation/
Chicago
Establishments that had previous critical or serious violations
Three-day average high temperature
Nearby garbage and sanitation complaints
The type of facility being inspected
Nearby burglaries
Whether the establishment has a tobacco license or has an incidental alcohol consumption license
Length of time since last inspection
The length of time the establishment has been operating
Inspector assigned
Chicago
New York City
New York City
Wake County
Wake County LIVES data
Wake County
Yelp Reviews
Wake County
Wake County
The results are inconclusive that average restaurant ratings may indicate how well a restaurant performs during a food inspection administered by Wake County Environmental Services.
Additionally, we see that restaurants with a higher amount of foodborne illness flags (as derived from the text within a restaurant's reviews) tend to have lower average restaurant ratings.
The results of this project only suggest that restaurant ratings may be correlated with foodborne illness outbreaks. In order to further investigate a possible association between restaurant reviews and foodborne illness outbreaks, additional statistical and study design methods must be considered to improve the validity and robustness of this project.
Wake County – Next Steps
More Data
Additional review sources: Incorporate restaurant reviews from other sources in addition to yelp.
Additional Restaurants: Include more than 200 restaurants in order to have a bigger sample size.
Improve match rate between restaurant grade data and restaurant review data: Use restaurant name and address.
Storage Solution for data – Now using OpenDataSoft portal.
Wake County – Next Steps
Refine foodborne illness flag (FBI) classification: Perform a more thorough literature review to identify the best words to use for the FBI flag derivation.
Wake County – Next Steps
Apply additional statistical methods and machine learning techniques:
Apply t-test/ANOVA to identify whether the difference in average restaurant rating is statistically different between restaurant grade groups/fbi flag groups.
Explore the ability to prospectively predict foodborne illness outbreak or restaurant grade given previous restaurant review ratings.
Thanks