Apartment for Rent Classified
Donated on 12/25/2019
This is a dataset of classified for apartments for rent in USA.
Dataset Characteristics
Multivariate
Subject Area
Business
Associated Tasks
Classification, Regression, Clustering
Feature Type
Categorical, Integer
# Instances
10000
# Features
21
Dataset Information
Additional Information
The dataset contains of 10'000 or 100'000 rows and of 22 columns The data has been cleaned in the way that column price and square_feet never is empty but the dataset is saved as it was created. Can be used for different machine learning tasks such as clustering, classification and also regression for the squares feet column
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| id | ID | Integer | no | ||
| category | Feature | Categorical | no | ||
| title | Feature | Categorical | no | ||
| body | Feature | Categorical | no | ||
| amenities | Feature | Categorical | no | ||
| bathrooms | Feature | Integer | no | ||
| bedrooms | Feature | Categorical | no | ||
| currency | Feature | Categorical | no | ||
| fee | Feature | Categorical | no | ||
| has_photo | Feature | Categorical | no |
0 to 10 of 22
Additional Variable Information
id = unique identifier of apartment category = category of classified title = title text of apartment body = body text of apartment amenities = like AC, basketball,cable, gym, internet access, pool, refrigerator etc. bathrooms = number of bathrooms bedrooms = number of bedrooms currency = price in current fee = fee has_photo = photo of apartment pets_allowed = what pets are allowed dogs/cats etc. price = rental price of apartment price_display = price converted into display for reader price_type = price in USD square_feet = size of the apartment address = where the apartment is located cityname = where the apartment is located state = where the apartment is located latitude = where the apartment is located longitude = where the apartment is located source = origin of classified time = when classified was created
Dataset Files
| File | Size |
|---|---|
| apartments_for_rent_classified_100K.7z | 8.9 MB |
| apartments_for_rent_classified_10K.7z | 879 KB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset apartment_for_rent_classified = fetch_ucirepo(id=555) # data (as pandas dataframes) X = apartment_for_rent_classified.data.features y = apartment_for_rent_classified.data.targets # metadata print(apartment_for_rent_classified.metadata) # variable information print(apartment_for_rent_classified.variables)
Apartment for Rent Classified [Dataset]. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C5X623.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.