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airbnb

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Geospatial
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100K - 1M
Tags:
geospatial
hotels
housing
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metadata
license: cc-by-4.0
tags:
  - geospatial
  - hotels
  - housing
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: weekdays
    features:
      - name: _id
        dtype: string
      - name: city
        dtype: string
      - name: realSum
        dtype: float64
      - name: room_type
        dtype: string
      - name: room_shared
        dtype: bool
      - name: room_private
        dtype: bool
      - name: person_capacity
        dtype: float64
      - name: host_is_superhost
        dtype: bool
      - name: multi
        dtype: int64
      - name: biz
        dtype: int64
      - name: cleanliness_rating
        dtype: float64
      - name: guest_satisfaction_overall
        dtype: float64
      - name: bedrooms
        dtype: int64
      - name: dist
        dtype: float64
      - name: metro_dist
        dtype: float64
      - name: attr_index
        dtype: float64
      - name: attr_index_norm
        dtype: float64
      - name: rest_index
        dtype: float64
      - name: rest_index_norm
        dtype: float64
      - name: lng
        dtype: float64
      - name: lat
        dtype: float64
    splits:
      - name: train
        num_bytes: 3998764
        num_examples: 25500
    download_size: 5303928
    dataset_size: 3998764
  - config_name: weekends
    features:
      - name: _id
        dtype: string
      - name: city
        dtype: string
      - name: realSum
        dtype: float64
      - name: room_type
        dtype: string
      - name: room_shared
        dtype: bool
      - name: room_private
        dtype: bool
      - name: person_capacity
        dtype: float64
      - name: host_is_superhost
        dtype: bool
      - name: multi
        dtype: int64
      - name: biz
        dtype: int64
      - name: cleanliness_rating
        dtype: float64
      - name: guest_satisfaction_overall
        dtype: float64
      - name: bedrooms
        dtype: int64
      - name: dist
        dtype: float64
      - name: metro_dist
        dtype: float64
      - name: attr_index
        dtype: float64
      - name: attr_index_norm
        dtype: float64
      - name: rest_index
        dtype: float64
      - name: rest_index_norm
        dtype: float64
      - name: lng
        dtype: float64
      - name: lat
        dtype: float64
    splits:
      - name: train
        num_bytes: 4108612
        num_examples: 26207
    download_size: 5451150
    dataset_size: 4108612
  - config_name: all
    features:
      - name: _id
        dtype: string
      - name: city
        dtype: string
      - name: realSum
        dtype: float64
      - name: room_type
        dtype: string
      - name: room_shared
        dtype: bool
      - name: room_private
        dtype: bool
      - name: person_capacity
        dtype: float64
      - name: host_is_superhost
        dtype: bool
      - name: multi
        dtype: int64
      - name: biz
        dtype: int64
      - name: cleanliness_rating
        dtype: float64
      - name: guest_satisfaction_overall
        dtype: float64
      - name: bedrooms
        dtype: int64
      - name: dist
        dtype: float64
      - name: metro_dist
        dtype: float64
      - name: attr_index
        dtype: float64
      - name: attr_index_norm
        dtype: float64
      - name: rest_index
        dtype: float64
      - name: rest_index_norm
        dtype: float64
      - name: lng
        dtype: float64
      - name: lat
        dtype: float64
      - name: day_type
        dtype: string
    splits:
      - name: train
        num_bytes: 8738970
        num_examples: 51707
    download_size: 10755078
    dataset_size: 8738970

Dataset Card for Dataset Name

Dataset Description

Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Structure

Data Fields

The data fields contain all fields from the source dataset along with additional city field denoting the city of the offer. all split contains an additional field day_type denoting whether the offer is for weekdays or weekends.

  • city: the city of the offer,
  • realSum: the full price of accommodation for two people and two nights in EUR,
  • room_type: the type of the accommodation,
  • room_shared: dummy variable for shared rooms,
  • room_private: dummy variable for private rooms,
  • person_capacity: the maximum number of guests,
  • host_is_superhost: dummy variable for superhost status,
  • multi: dummy variable if the listing belongs to hosts with 2-4 offers,
  • biz: dummy variable if the listing belongs to hosts with more than 4 offers,
  • cleanliness_rating: cleanliness rating,
  • guest_satisfaction_overall: overall rating of the listing,
  • bedrooms: number of bedrooms (0 for studios),
  • dist: distance from city centre in km,
  • metro_dist: distance from nearest metro station in km,
  • attr_index: attraction index of the listing location,
  • attr_index_norm: normalised attraction index (0-100),
  • rest_index: restaurant index of the listing location,
  • attr_index_norm: normalised restaurant index (0-100),
  • lng: longitude of the listing location,
  • lat: latitude of the listing location,

all config contains additionally:

  • day_type: either weekdays or weekends

Data Splits

name train
weekdays 25500
weekends 26207
all 51707

Additional Information

Licensing Information

The data is released under the licensing scheme from the original authors - CC-BY-4.0 (source).

Citation Information 

@dataset{gyodi_kristof_2021_4446043,
  author       = {Gyódi, Kristóf and
                  Nawaro, Łukasz},
  title        = {{Determinants of Airbnb prices in European cities: 
                   A spatial econometrics approach (Supplementary
                   Material)}},
  month        = jan,
  year         = 2021,
  note         = {{This research was supported by National Science 
                   Centre, Poland: Project number 2017/27/N/HS4/00951}},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.4446043},
  url          = {https://doi.org/10.5281/zenodo.4446043}
}