A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows:
A data frame with 53940 rows and 10 variables:
price in US dollars (\$326–\$18,823)
weight of the diamond (0.2–5.01)
quality of the cut (Fair, Good, Very Good, Premium, Ideal)
diamond colour, from J (worst) to D (best)
a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))
length in mm (0–10.74)
width in mm (0–58.9)
depth in mm (0–31.8)
total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43–79)
width of top of diamond relative to widest point (43–95)
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