active ARFF public domain Visibility: public Uploaded 24-12-2019 by Andreas Mueller
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By

Loading wiki
Help us complete this description Edit
This classic dataset contains the prices and other attributes of almost 54,000 diamonds. It's a great dataset for beginners learning to work with data analysis and visualization. Content 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), 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)

10 features

price (target)numeric11602 unique values
0 missing
caratnumeric273 unique values
0 missing
cutnominal5 unique values
0 missing
colornominal7 unique values
0 missing
claritynominal8 unique values
0 missing
depthnumeric184 unique values
0 missing
tablenumeric127 unique values
0 missing
xnumeric554 unique values
0 missing
ynumeric552 unique values
0 missing
znumeric375 unique values
0 missing

19 properties

Number of instances (rows) of the dataset.
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
Number of missing values in the dataset.
Number of instances with at least one value missing.
Number of numeric attributes.
Number of nominal attributes.
Percentage of binary attributes.
Percentage of instances having missing values.
Average class difference between consecutive instances.
Percentage of missing values.
Number of attributes divided by the number of instances.
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
Number of binary attributes.

0 tasks

Define a new task