In 2004, the state of North Carolina released to the public a large data set containing information on births recorded in this state. 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 this data set.
Format
A data frame with 1000 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).- gender
Gender of the baby,
femaleormale.- habit
Status of the mother as a
nonsmokeror asmoker.- marital
Whether mother is
marriedornot marriedat birth.- whitemom
Whether mom is
whiteornot white.
See also
We do not have ideal provenance for these data. For a better documented and more recent dataset on a similar topic with similar variables, see births14.
Examples
library(ggplot2)
ggplot(ncbirths, aes(x = habit, y = weight)) +
geom_boxplot() +
labs(x = "Smoking status of mother", y = "Birth weight of baby (in lbs)")
ggplot(ncbirths, aes(x = whitemom, y = visits)) +
geom_boxplot() +
labs(x = "Mother's race", y = "Number of doctor visits during pregnancy")
#> Warning: Removed 9 rows containing non-finite values (`stat_boxplot()`).
ggplot(ncbirths, aes(x = mature, y = gained)) +
geom_boxplot() +
labs(x = "Mother's age category", y = "Weight gained during pregnancy")
#> Warning: Removed 27 rows containing non-finite values (`stat_boxplot()`).
