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