five

Boston-Airbnb-Listings

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OpenML2022-03-24 更新2024-05-23 收录
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https://www.openml.org/search?type=data&sort=runs&status=active&id=43819
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Context Since 2008, guests and hosts have used Airbnb to travel in a more unique, personalized way. As part of the Airbnb Inside initiative, this dataset describes the listing activity of homestays in Boston, MA. Content This data file includes all needed information to about the listing details, the host, geographical availability, and necessary metrics to make predictions and draw conclusions. Basic data cleaning has been done, such as dropping redundant features (ex: city) and converting amenities into a dictionary. The data includes both numerical and categorical data, as well as natural language descriptions. Acknowledgements This dataset is part of Airbnb Inside, and the original source can be found here. Inspiration Listing visualization What features drive the price of a listing up? What can we learn about different hosts and areas? What can we learn from predictions? (ex: locations, prices, reviews, etc) Which hosts are the busiest and why? Is there any noticeable difference of traffic among different areas and what could be the reason for it?
创建时间:
2022-03-24
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