mortality: Mortality in the most important american cities

In quantide/qdata: Quantide's data for R courses

Description

mortality dataset contains information related to the percentage of mortality.

Usage

data(mortality)

Format

mortality is a tbl data frame with 60 observations on 15 variables.

Details

The 15 variables of the mortality tbl data frame are the following ones:

• Rain annual average rainfall (numeric)

• JanTemp average temperatures in January (numeric)

• JulyTemp average temperatures in July (numeric)

• PctOver65 percentage of the population over 65 years (numeric)

• HHSize average size of housing (numeric)

• Education years of education (numeric)

• PctHomesLiveable percentage of “habitable” homes (numeric)

• PopDensity density of population (numeric)

• PctLowIncome percentage of low-income families (numeric)

• PctWhiteCollar percentage of employees (numeric)

• Hydrocarbon pollution level by hydrocarbons (numeric)

• NititeOxide pollution level of nitrite oxide (numeric)

• SulphurDioxide pollution level of sulfur dioxide (numeric)

• RelHum annual average relative humidity at 1 PM (numeric)

• MortalityRate mortality rate for 100000 people (numeric)

Source

Data was adapted from StatLib Website.

quantide/qdata documentation built on May 26, 2019, 12:36 p.m.