Baselight

380,000 Restaurants Mostly USA Based

Comprehensive Dataset Spanning American Eateries and other countries. Geotagged.

@kaggle.kwxdata_380k_restaurants_mostly_usa_based

About this Dataset

380,000 Restaurants Mostly USA Based

Title:

380K Restaurants - Mostly USA Based

Subtitle:

An extensive dataset of restaurants spanning the USA, with select international entries.

Description:

Dataset Overview:
This dataset provides a comprehensive compilation of 380,000 restaurants. While the majority are from the USA, there is also a representation from international locales. It's an invaluable resource for researchers, business analysts, and enthusiasts looking into the restaurant industry.

Dataset Contents:
The dataset encompasses various attributes for each restaurant:

  • Title: The name of the restaurant.
  • Link: A direct link to the restaurant's online presence or review site.
  • Category: The type or genre of the restaurant (e.g., "Fast Food" or "Sushi").
  • Rating: A numerical representation of customer reviews and feedback.
  • Website: The official website of the restaurant.
  • Phone: Contact number for reservations or inquiries.
  • Address: Physical location or address of the restaurant.
  • Images: Visual representations or photographs related to the restaurant.
  • Categories: Further details on the restaurant's specialties.
  • Geo_Coordinates: Geographical data points related to the restaurant's location.
  • Time_Zone: The time zone in which the restaurant operates.
  • Latitude & Longitude: Geographical coordinates for map integrations.

Potential Use Cases:

  • Regional Analysis: Study restaurant distributions across different states or regions.
  • Rating Trends: Analyze the correlation between restaurant categories and their ratings.
  • Mapping Projects: Visualize restaurant locations to identify dense clusters or potential opportunities.
  • Time-Based Analysis: Investigate restaurant operations across different time zones.

Feedback and Collaboration:
Share insights, visualizations, or projects derived from this dataset with the wider community.

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