An uncertain (and shrunk down) version of the diamonds data from`ggplot2`
Source:R/data.R
smaller_uncertain_diamonds.RdThis dataset is a subset of the diamonds data. There is a deterministic version that is only a subset (smaller_diamonds) and a version that has random variables (uncertain_smaller_diamonds). The data is only a subset as the ggdibbler approach can take quite a long time when applied to the full sized diamonds data set.
Format
A data frame with almost 54000 observations and 10 variables:
- price
Binomial random variable - price in US dollars ($326–$18,823)
- carat
Normal random variable - weight of the diamond (0.2–5.01)
- cut
Categorical random variable - quality of the cut (Fair, Good, Very Good, Premium, Ideal)
- color
Categorical random variable - diamond colour, from D (best) to J (worst)
- clarity
Categorical random variable - a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))
- x
Normal random variable - length in mm (0–10.74)
- y
Normal random variable - width in mm (0–58.9)
- z
Normal random variable - depth in mm (0–31.8)
- depth
Normal random variable - total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43–79)
- table
Normal random variable - width of top of diamond relative to widest point (43–95)
An object of class tbl_df (inherits from tbl, data.frame) with 1000 rows and 10 columns.