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Tourist Attractions Insights
Tourism
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"Tourist Attractions Insights offers a wealth of information on top tourist destinations. It has helped us tailor our marketing strategies to attract more visitors and enhance their travel experiences."
- Liam Martinez
02/06/2024
£950
About
This dataset provides comprehensive insights into tourist attractions worldwide, aimed at enhancing tourism-related analysis, research, and AI development. It captures essential details such as location, popularity, visitor reviews, and types of attractions, offering value for tourism analytics, recommendation engines, and market research. This dataset is designed for businesses, researchers, and AI practitioners looking to derive insights on global tourism trends.
Dataset Features
- Attraction Name: Name of the tourist attraction (e.g., Eiffel Tower, Grand Canyon).
- Location: City, region, and country where the attraction is located.
- Attraction Type: Type of tourist attraction (e.g., museum, natural site, historical landmark).
- Visitor Rating: Average visitor rating (on a scale of 1 to 5).
- Number of Reviews: Count of visitor reviews for the attraction.
- Popularity Score: A calculated score representing the popularity of the attraction based on ratings, reviews, and visitor count.
- Entry Fee: Information on whether the attraction has free entry or requires a ticket, along with average ticket price (if applicable).
- Operating Hours: Typical operating hours for each attraction.
- Seasonality Insights: Data on peak visitor seasons or off-peak months.
- Accessibility: Indicates whether the attraction is wheelchair-accessible.
Distribution
• Data Volume: 800,000+ records, 10 columns.
• Format: CSV, JSON, and Parquet.
• Size: Approximately 60GB.
Usage
This dataset is ideal for a variety of applications:
- Recommendation Systems: Create AI-based travel recommendation engines to suggest top-rated tourist attractions.
- Tourism Analytics: Analyze global tourism trends, attraction popularity, and visitor behavior.
- Market Research: Identify patterns in tourist preferences, seasonal trends, and regional popularity.
- Travel Planning Apps: Provide users with insights on must-visit attractions, peak hours, and accessibility information.
Coverage
- Geographic Coverage: Global – Includes attractions from major cities and remote destinations across continents.
- Time Range: Data collected between January 2015 and December 2024.
- Demographics (if applicable): Insights derived from diverse visitor reviews, covering different age groups, genders, and nationalities.
License
CC0 – This dataset is in the public domain and can be used without restrictions.
Who Can Use It
- Data Scientists: For building machine learning models, including recommendation engines and trend analysis models.
- Researchers: For academic studies on tourism patterns, cultural trends, and global travel behavior.
- Businesses: For travel startups, tour operators, and marketers looking to enhance tourism services and products.
- Developers: For travel and trip-planning app development.
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