Dive into the "1500 North American Restaurants Comprehensive Dataset," featuring a rich selection of dining establishments from cozy local eateries to renowned culinary destinations. This meticulously curated collection spans a diverse range of cuisines, dining experiences, and geographical locations across North America. Each entry encapsulates key details such as cuisine types, service options, and customer ratings, making it an indispensable resource for food enthusiasts, researchers, and industry analysts seeking insights into the continent's vibrant restaurant scene.
Column Descriptions:
name: The name of the restaurant.
city: The city where the restaurant is located.
state: The state or province where the restaurant is located.
zipcode: The postal code of the restaurant.
country: The country of the restaurant (US or CA).
cuisines: The types of cuisines offered by the restaurant.
pickup_enabled: Indicates if pickup service is available (TRUE or FALSE).
delivery_enabled: Indicates if delivery service is available (TRUE or FALSE).
weighted_rating_value: The average rating of the restaurant on a scale from 0 to 5.
aggregated_rating_count: The total number of ratings the restaurant has received.
Dive into this dataset for captivating data visualizations mapping North America's culinary landscape, NLP-driven sentiment analysis on cuisine types, and machine learning models predicting restaurant success. It's perfect for enthusiasts keen on uncovering trends through viz, extracting insights via NLP, or enhancing recommendation systems with predictive analytics. A playground for data science exploration!
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