| credit_card.int | R Documentation |
Interval-valued credit card spending aggregated by person-month. Three individuals' (Jon, Tom, Leigh) monthly expenditures across five categories.
data(credit_card.int)
A data frame with 6 observations and 11 columns (5 interval variables
in _l/_u Min-Max pairs, plus a label):
person_month: Person-month identifier (e.g., "Jon - January"; character).
food_l, food_u: Food expenditure range (USD).
social_l, social_u: Social expenditure range (USD).
travel_l, travel_u: Travel expenditure range (USD).
gas_l, gas_u: Gas expenditure range (USD).
clothes_l, clothes_u: Clothes expenditure range (USD).
The original classical dataset (Table 2.3) records individual transactions. The symbolic version (Table 2.4) aggregates into interval-valued observations for each person-month combination.
| Sample size (n) | 6 |
| Variables (p) | 11 |
| Subject area | Finance |
| Symbolic format | Interval |
| Analytical tasks | Descriptive statistics |
Billard, L. and Diday, E. (2006). Symbolic Data Analysis. Wiley. Tables 2.3-2.4.
data(credit_card.int)
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