diamonds


A dataset containing the prices and other attributes of almost 54,000
 diamonds. The variables are as follows:


datasets

An implementation of the grammar of graphics in R. It combines the
advantages of both base and lattice graphics: conditioning and shared axes
are handled automatically, and you can still build up a plot step by step
from multiple data sources. It also implements a sophisticated
multidimensional conditioning system and a consistent interface to map
data to aesthetic attributes. See http://ggplot2.org for more information,
documentation and examples.

Hadley Wickham

ggplot2

An Implementation of the Grammar of Graphics

diamonds function

A data frame with 53940 rows and 10 variables:
<ul>
<li> price: price in US dollars (\$326--\$18,823)
  </li>
<li> carat: weight of the diamond (0.2--5.01)
  </li>
<li> cut: quality of the cut (Fair, Good, Very Good, Premium, Ideal)
  </li>
<li> color: diamond colour, from J (worst) to D (best)
  </li>
<li> clarity: a measurement of how clear the diamond is
     (I1 (worst), SI1, SI2, VS1, VS2, VVS1, VVS2, IF (best))
  </li>
<li> x: length in mm (0--10.74)
  </li>
<li> y: width in mm (0--58.9)
  </li>
<li> z: depth in mm (0--31.8)
  </li>
<li> depth: total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43--79)
  </li>
<li> table: width of top of diamond relative to widest point (43--95)
</li>
</ul>

diamonds: Prices of 50,000 round cut diamonds

Description

Usage

Arguments

Format