Beijing PM2.5
Donated on 1/18/2017
This hourly data set contains the PM2.5 data of US Embassy in Beijing. Meanwhile, meteorological data from Beijing Capital International Airport are also included.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Climate and Environment
Associated Tasks
Regression
Feature Type
Integer, Real
# Instances
43824
# Features
11
Dataset Information
Additional Information
The data's time period is between Jan 1st, 2010 to Dec 31st, 2014. Missing data are denoted as "NA".
Has Missing Values?
Yes
Introductory Paper
By Xuan Liang, T. Zou, Bin Guo, Shuo Li, Haozhe Zhang, Shuyi Zhang, Hui Huang, S. Chen. 2015
Published in Proceedings of the Royal Society A
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| No | ID | Integer | no | ||
| year | Feature | Integer | no | ||
| month | Feature | Integer | no | ||
| day | Feature | Integer | no | ||
| hour | Feature | Integer | no | ||
| pm2.5 | Target | Integer | yes | ||
| DEWP | Feature | Integer | no | ||
| TEMP | Feature | Integer | no | ||
| PRES | Feature | Integer | no | ||
| cbwd | Feature | Categorical | no |
0 to 10 of 13
Additional Variable Information
No: row number year: year of data in this row month: month of data in this row day: day of data in this row hour: hour of data in this row pm2.5: PM2.5 concentration (ug/m^3) DEWP: Dew Point (℃) TEMP: Temperature (℃) PRES: Pressure (hPa) cbwd: Combined wind direction Iws: Cumulated wind speed (m/s) Is: Cumulated hours of snow Ir: Cumulated hours of rain
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset beijing_pm2_5 = fetch_ucirepo(id=381) # data (as pandas dataframes) X = beijing_pm2_5.data.features y = beijing_pm2_5.data.targets # metadata print(beijing_pm2_5.metadata) # variable information print(beijing_pm2_5.variables)
Chen,Song. (2017). Beijing PM2.5. UCI Machine Learning Repository. https://doi.org/10.24432/C5JS49.
@misc{misc_beijing_pm2.5_381,
author = {Chen,Song},
title = {{Beijing PM2.5}},
year = {2017},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5JS49}
}Creators
Song Chen
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.