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.