births14: US births

Description

Every year, the US releases to the public a large data set containing information on births recorded in the country. This data set has been of interest to medical researchers who are studying the relation between habits and practices of expectant mothers and the birth of their children. This is a random sample of 1,000 cases from the data set released in 2014.

Usage

births14

Arguments

Format

A data frame with 1,000 observations on the following 13 variables.

fage: Father's age in years.
mage: Mother's age in years.
mature: Maturity status of mother.
weeks: Length of pregnancy in weeks.
premie: Whether the birth was classified as premature (premie) or full-term.
visits: Number of hospital visits during pregnancy.
gained: Weight gained by mother during pregnancy in pounds.
weight: Weight of the baby at birth in pounds.
lowbirthweight: Whether baby was classified as low birthweight (low) or not (not low).
sex: Sex of the baby, female or male.
habit: Status of the mother as a nonsmoker or a smoker.
marital: Whether mother is married or not married at birth.
whitemom: Whether mom is white or not white.

Examples

Run this code


library(ggplot2)

ggplot(births14, aes(x = habit, y = weight)) +
  geom_boxplot() +
  labs(x = "Smoking status of mother", y = "Birth weight of baby (in lbs)")

ggplot(births14, aes(x = whitemom, y = visits)) +
  geom_boxplot() +
  labs(x = "Mother's race", y = "Number of doctor visits during pregnancy")

ggplot(births14, aes(x = mature, y = gained)) +
  geom_boxplot() +
  labs(x = "Mother's age category", y = "Weight gained during pregnancy")

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