Residential Building
Donated on 2/18/2018
Data set includes construction cost, sale prices, project variables, and economic variables corresponding to real estate single-family residential apartments in Tehran, Iran.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
Real
# Instances
372
# Features
-
Dataset Information
Additional Information
See the tab 'Descriptions' in the Excel file.
Has Missing Values?
No
Introductory Paper
By M. Rafiei, H. Adeli. 2016
Published in Journal of Construction Engineering & Management
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
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0 to 10 of 105
Additional Variable Information
Totally 105: 8 project physical and financial variables, 19 economic variables and indices in 5 time lag numbers (5*19 = 95), and two output variables that are construction costs and sale prices
Dataset Files
| File | Size |
|---|---|
| Residential-Building-Data-Set.xlsx | 303.8 KB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset residential_building = fetch_ucirepo(id=437) # data (as pandas dataframes) X = residential_building.data.features y = residential_building.data.targets # metadata print(residential_building.metadata) # variable information print(residential_building.variables)
Rafiei, M. (2015). Residential Building [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5S896.
Creators
Mohammad Rafiei
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.