Brilliant-Diamonds
OpenML dataset with id 43355
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102180/Brilliant-Diamonds.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 11 (numeric: 3, symbolic: 0 and in total binary: 0 )
Number of instances: 119,307
Number of instances with missing values: 0
Number of missing values: 0
Context Buying a diamond can be frustrating and expensive. It inspired me to create this dataset of 119K natural and lab-created diamonds from brilliantearth.com to demystify the value of the 4 Cs cut, color, clarity, carat. This data was scraped using DiamondScraper. Content
Attribute Description Data Type
id
Diamond identification number provided by Brilliant Earth
int
url
URL for the diamond details page
string
shape
External geometric appearance of a diamond
string/categorical
price
Price in U.S. dollars
int
carat
Unit of measurement used to describe the weight of a diamond
float
cut
Facets, symmetry, and reflective qualities of a diamond
string/categorical
color
Natural color or lack of color visible within a diamond, based on the GIA grade scale
string/categorical
clarity
Visibility of natural microscopic inclusions and imperfections within a diamond
string/categorical
report
Diamond certificate or grading report provided by an independent gemology lab
string
type
Natural or lab created diamonds
string
date_fetched
Date the data was fetched
date
Acknowledgements
Thanks to Brilliant Earth for committing to ethically soured jewelry and for having a great shopping experience.
Check out their buying guide to learn more about diamonds.
This page was built for dataset: Brilliant-Diamonds
