airbnb#
Module for loading the New York City Airbnb 2019 Open Dataset.
The New York City Airbnb 2019 Open Data is a dataset containing varius details about a listed unit, when the goal is to predict the rental price of a unit.
This dataset contains the details for units listed in NYC during 2019, was adapted from the following open kaggle dataset: https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data. This, in turn was downloaded from the Airbnb data repository http://insideairbnb.com/get-the-data.
This dataset is licensed under the CC0 1.0 Universal License (https://creativecommons.org/publicdomain/zero/1.0/).
The typical ML task in this dataset is to build a model that predicts the average rental price of a unit.
- Dataset Shape:
Dataset Shape# Property
Value
Samples Total
47.3K
Dimensionality
9
Features
real, string
Targets
int 31 - 795
- Description:
Dataset Description# Column name
Column Role
Description
datestamp
Datetime
The date of the observation
neighbourhood_group
Feature
neighbourhood
Feature
room_type
Feature
minimum_nights
Feature
number_of_reviews
Feature
reviews_per_month
Feature
calculated_host_listings_count
Feature
availability_365
Feature
has_availability
Feature
price
Label
The rental price of the unit
Functions
|
Load and returns the Airbnb NYC 2019 dataset (regression). |
Load the pre-calculated feature importance for the Airbnb NYC 2019 dataset. |