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European City Airbnb Analysis
Data Science and Analytics
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About
This dataset explores the key factors determining Airbnb prices across nine major European cities. It is a cleaned and merged collection, designed to overcome the limitations of previously disorganised source data. The dataset offers a valuable resource for conducting analyses and uncovering insights into the dynamics of accommodation pricing in popular tourist destinations.
Columns
- City: The name of the European city where the Airbnb listing is located.
- Price: The price of the Airbnb listing.
- Day: Indicates whether the booking day falls on a weekday or a weekend.
- Room Type: Specifies the type of Airbnb accommodation, such as 'Entire home/apt', 'Private room', or 'Shared room'.
- Shared Room: A boolean indicator showing if the room in the Airbnb is shared with others.
- Private Room: A boolean indicator showing if a private room is available in the stay.
- Person Capacity: The maximum number of persons the Airbnb can accommodate.
- Superhost: A boolean indicator showing if the Airbnb host holds Superhost status.
- Multiple Rooms: Indicates if the Airbnb property features multiple rooms (specifically 2-4 rooms).
- Business: Indicates if the business associated with the listing has more than 4 offers.
- Cleanliness Rating: A rating reflecting the cleanliness of the Airbnb property.
- Guest Satisfaction: A score representing the overall guest satisfaction with the stay.
- Bedrooms: The number of bedrooms present in the Airbnb property.
- City Center (km): The distance of the Airbnb listing from the city centre, measured in kilometres.
- Metro Distance (km): The distance of the Airbnb listing from the nearest metro station, measured in kilometres.
- Attraction Index: An index reflecting the proximity or density of attractions around the listing.
- Normalised Attraction Index: A normalised version of the Attraction Index.
- Restraunt Index: An index related to the proximity or density of restaurants around the listing.
- Normalised Restraunt Index: A normalised version of the Restraunt Index.
Distribution
The dataset is provided as a CSV file, named 'Aemf1.csv', and has a size of 8.17 MB. It consists of 19 columns and contains approximately 41,700 records. Specific numbers for rows or records are not available per unique column.
Usage
This dataset is ideal for various analytical purposes, including exploring pricing trends, identifying factors that influence Airbnb rates, and performing comparative analyses between European cities. It can be used for data visualisation projects, classification tasks, and general exploratory data analysis to uncover hidden patterns and tell compelling stories about the European Airbnb market.
Coverage
The dataset covers 9 prominent European cities: Amsterdam, Athens, Barcelona, Berlin, Budapest, Lisbon, Paris, Rome, and Vienna. The data reflects a snapshot and is not expected to be updated frequently, as the anticipated update frequency is never.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide range of users, from beginners in data analysis to experienced data scientists and researchers. It is particularly useful for individuals interested in travel, hospitality, urban economics, and those looking to understand accommodation pricing determinants.
Dataset Name Suggestions
- European Airbnb Pricing Factors
- Europe City Airbnb Data
- Airbnb Price Determinants Europe
- Cleaned European Accommodation Dataset
- European City Airbnb Analysis
Attributes
Original Data Source: European City Airbnb Analysis
QUALITY