diamonds: Prices of 1,000 round cut diamonds.
In burrisk/midamix: Bayesian multiple imputation via mixtures

A dataset containing the prices and other attributes of 1,000 diamonds. This is a subset of the diamonds dataset in ggplot2, where 20 percent of the data values are missing completely at random

diamonds

A data frame with 1000 rows and 10 variables:

carat: weight of the diamond, in carats
cut: quality of the cut (Fair, Good, Very Good, Premium, Ideal)
color: color of the diamond, from J (worst) to D (best)
clarity: a measurement of how clear the diamond is from I1 (worst) to IF (best)
table: width of the top of the diamond relative to its widest point
depth: total depth percentage
price: price, in US dollars
x: length, in mm
y: width, in mm
z: depth, in mm