diamonds
OpenML dataset with id 44979
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22111843/diamonds.arff
Upload date: 22 December 2022
Dataset Characteristics
Number of classes: 0
Number of features: 10 (numeric: 7, symbolic: 3 and in total binary: 0 )
Number of instances: 53,940
Number of instances with missing values: 0
Number of missing values: 0
Description
This classic dataset originally contained the prices and other attributes of almost 54,000 diamonds. However, 14184 of those seem to be the same diamonds, measure from a different angle. This can be found out but checking for duplicated value when disregarding the variables x, y, z , depth and table, which are dependent on the angle.
Attribute Information
1. *price* - Content price price in US dollars (\$326--\$18,823), target feature
2. *carat* - weight of the diamond (0.2--5.01)
3. *cut* - quality of the cut (Fair, Good, Very Good, Premium, Ideal)
4. *color* - diamond colour, from J (worst) to D (best)
5. *clarity* - a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))
6. *x* - length in mm (0--10.74)
7. *y* - width in mm (0--58.9)
8. *z* - depth in mm (0--31.8)
9. *depth* - total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43--79)
10. *table* - width of top of diamond relative to widest point (43--95)
This page was built for dataset: diamonds
