# Data Engineering Lab 9B - Fall 2022 Section 3 — Data

来源：https://www.kaggle.com/competitions/data-engineering-lab-9b-fall-2022-section-3/data

采集时间：2026-10-24T08:42:47Z

### Context

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)

### Files

**trainingD.csv** - the training set
**testingD.csv** - the test set
**sample_submission.csv** - a sample submission file in the correct format