chicago_pollution_df: Chicago Mortality and Pollution

In PulmoDataSets: A Curated Collection of Pulmonary and Respiratory Disease Datasets

Chicago Mortality and Pollution

Description

This dataset, chicago_pollution_df, is a data frame containing daily mortality, weather, and pollution data for Chicago from 1987 to 2000 from the National Morbidity, Mortality and Air Pollution Study (NMMAPS). It includes all-cause mortality, cardiovascular and respiratory deaths, temperature, humidity, and pollution levels (PM10 and ozone).

Usage

data(chicago_pollution_df)

Format

A data frame with 5114 observations and 14 variables:

date

Date (Date object)

time

Time index (integer vector)

year

Year (numeric vector)

month

Month (numeric vector)

doy

Day of year (integer vector)

dow

Day of week (factor with 7 levels)

death

All-cause mortality count (integer vector)

cvd

Cardiovascular mortality count (integer vector)

resp

Respiratory mortality count (integer vector)

temp

Temperature (numeric vector)

dptp

Dew point temperature (numeric vector)

rhum

Relative humidity (numeric vector)

pm10

PM10 pollution level (numeric vector)

o3

Ozone level (numeric vector)

Details

The dataset name has been kept as 'chicago_pollution_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the PulmoDataSets package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a standard data frame. The original content has not been modified in any way.

Source

Data taken from the dlnm package version 2.4.10

PulmoDataSets documentation built on Sept. 9, 2025, 5:41 p.m.