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

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DIAMOND_DATA----->> EXPLORATORY DATA ANALYSIS WITH R

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

Usage

diamonds

Format

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 D (best) to J (worst)

clarity a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, 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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A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows: Usage diamonds Format 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, f…

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