From someone who lives to eat, here is a database of expert reccomended restaurants, comprising of Atlanta Eater's top 38, Atlanta Eats Midtown Bucket list, and Atlanta Magazine's top 75.
The columns labels are as follows:
- 'name' (str): Name of the restaurant
- 'price' (int): Price level from 1-4 inclusive
- 'rating' (float): User ratings from 1.0-5.0 inclusive
- 'user_ratings_total' (int): Number of ratings to back it up
- 'driving' (timestamp): Time it takes to drive from Towers residence hall
- 'bicycling' (timestamp): Time it takes to bike from Towers residence hall
- 'worth_driving' (bool): 'driving' <= 20 mins
- 'worth_bicycling' (bool): 'bicycling' <= 20 mins
- 'multiple_mentions' (bool): Whether multiple articles reccomend the same restaurant
- 'description' (str): 3 sentence summary of the journalist's description
- 'website' (str): Restaurant website and menu
- 'formatted_address' (str): Street address
- 'search_keywords' (str): Keywords used to find the restaurant on Maps
- 'place_id' (str): ID in Google's Place database
Data is scraped from the articles, then augmented using Google Maps Distance Matrix API and Places API to be more useful for Georgia Tech students living in east campus dorms.
The database is compendium.csv, and methodology is main.ipynb.