The Culinary Mosaic of Taiwan

Delving into Taiwan's rich culinary culture, exploring the variety and distribution of restaurants, cafes, and bakeries.

Critical Market Statistics

Essential Data Shaping Taiwan's Food Service Industry

179220

Total Number of records
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179,220

Total Number of Establishments
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Varied across provinces

Geographical Distribution
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5% highly visited, 23% above-average visitations

Customer Visitation Patterns
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Explore Taiwan's Food Service Industry Dataset

A glimpse into the extensive data covering the density, popularity, and distribution of Taiwan's food service establishments.

Key Variables

Essential Data Shaping Taiwan's Food Service Industry

Name
Description
Type
sequence
Sequence number or order
Integer
img_links
Links to images of the location
List of Strings
geometry
Geometrical data of the location
String (JSON format)
hotel_services
Services specific to the hotel
List of Strings
hotel_rank
Ranking of the hotel within a system
Integer
collection_date
Date when the data was collected
Date
keywords_used_in_search
Keywords used in searches for the location
List of Strings
description
Description of the point of interest
String
poi_time_zone
Time zone of the point of interest
String
meal_weekly_trends
Weekly trends for meal times
List of Integers
poi_news
News related to the point of interest
List of Strings
poi_website
Website of the point of interest
String (URL)
properties
Properties or characteristics of the location
List of Strings
day_traffic_trends
Daily traffic trends
List of Integers
tarffic_label
Label describing traffic conditions
String
traffic_score
Score representing the amount of traffic
Integer
is_closed
Status of the location (open or closed)
Boolean
online_visibility
Visibility of the location online
Boolean
reservations
Information about reservation options
String
phone
Contact phone number
String
photos
Links to photos of the location
List of Strings
price_range
Price range (low, medium, high)
String
reviews_no
Number of reviews
Integer
rate
Average rating out of 5
Float
price_range_icons
Icons representing the price range
List of Strings
services
Services offered by the location
List of Strings
map_link
Link to the location on the map
String (URL)
tags5
Quinary categorization tag
String
tags4
Quaternary categorization tag
String
tags3
Tertiary categorization tag
String
country
Country where the location is situated
String
tags1
Primary categorization tag
String
tags2
Secondary categorization tag
String
district
District where the location is situated
String
province
Province or state where the location is situated
String
latitude
Latitude coordinate
Float
address_text
Full address of the location
String
longitude
Longitude coordinate
Float
poi_name
Name of the point of interest
String
place_id
Unique identifier for the place
String
_geojson
GeoJSON format data representing geographical features
String (JSON format)

Use Cases

How can this dataset benefit you?

Strategic Expansion

Market Expansion and Location Analysis - Utilizing data to identify potential areas for new establishments based on geographical distribution.

Understanding Customer Trends

Consumer Behavior Insights - Leveraging data to understand visitation patterns and customer preferences.

Market Competition Assessment

Competitive Landscape Analysis - Using data to assess market saturation and popularity of various establishments.

Unleash the power of xMap

Insights into the  total number of establishments, showcasing the breadth of Taiwan's food  service market.

Data on geographical  distribution, providing a view of the market's spread across different  regions.

Analysis of customer  visitation patterns, offering insights into the popularity and customer  engagement of the establishments.

Why xMap?

Download the list of 63,500 Restaurants in Florida based on their name, phone number, email, and other information.

Close Faster

23

Times more likely to acquire customers
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Improve Sales

4.5%

Of the total revenue because of data-driven innovations
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Retain More

6

Times more likely to retain customers
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Frequently Asked Questions

Find answers to commonly asked questions about our spatial analyst platform.

How frequently is the dataset updated?

The dataset is updated after every 3 months to reflect any new entries, closures, and shifts in the grocery market dynamics.

Can this dataset be integrated with other data for more comprehensive analysis?

Absolutely. It can be seamlessly integrated with economic, demographic, and geographic datasets for a holistic analysis of Saudi Arabia's financial landscape.

Muneeb Rehman
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