A dataset representing a standard Tarot deck, including both Major and Minor Arcana Cards. Each row corresponds to a single card with attributes describing its type, suit and rank.
Format
A data frame with 78 observations and 6 variables:
- card
Name of the Tarot card.
- rank
Raw rank of the card as character.
- suit
Suit of the card (wand, coin, cup, sword, or trump).
- arcana
Type of arcana (minor or major).
- rank_minor
Ordered factor indicating the rank within the minor arcana (NA for major arcana).
- rank_major
Integer indicating the rank within the major arcana (0–21, NA for minor arcana).
Details
The dataset is designed for teaching, simulation and modelling purposes, illustrating how heterogeneous ordinal structures can be represented in a statistically consistent way.
The Tarot deck consists of 56 Minor Arcana Cards and 22 Major Arcana Cards.
Since both groups follow different ranking systems, two separate variables are
provided: rank_minor for the ordered structure within the minor arcana
and rank_major for the numeric ordering of the major arcana.
This separation avoids mixing incompatible ordinal scales and makes the dataset suitable for statistical modelling and machine learning applications.
See also
Other datasets:
Cards,
Pizza,
Roulette,
courseData()
Examples
head(Tarot)
#> card rank suit arcana rank_minor rank_major
#> 1 1-wand 1 wand minor 1 NA
#> 2 2-wand 2 wand minor 2 NA
#> 3 3-wand 3 wand minor 3 NA
#> 4 4-wand 4 wand minor 4 NA
#> 5 5-wand 5 wand minor 5 NA
#> 6 6-wand 6 wand minor 6 NA
table(Tarot$arcana)
#>
#> minor major
#> 56 22
summary(Tarot$rank_minor)
#> 1 2 3 4 5 6 7 8 9 10 page
#> 4 4 4 4 4 4 4 4 4 4 4
#> knight queen king NAs
#> 4 4 4 22