| household_characteristics.distr | R Documentation |
Distribution-valued dataset of 12 counties with 3 categorical probability distribution variables describing household fuel type, number of rooms, and household income brackets.
data(household_characteristics.distr)
A data frame with 12 observations (counties) and 3 distribution-valued variables:
fuel_type: Distribution over fuel types
(gas, electric, oil, wood, none).
rooms: Distribution over room counts
({1,2}, {3,4,5}, {>=6}).
household_income: Distribution over income brackets
(<10, [10,25), [25,50), [50,75), [75,100), [100,150), [150,200), >=200).
Row names are County_1 through County_12.
| Sample size (n) | 12 |
| Variables (p) | 3 |
| Subject area | Socioeconomics |
| Symbolic format | Distribution |
| Analytical tasks | Clustering, Descriptive statistics |
Billard, L. and Diday, E. (2020), Table 6-1.
Billard, L. and Diday, E. (2020). Clustering Methodology for Symbolic Data. Wiley, Chichester. Table 6-1.
data(household_characteristics.distr)
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