| energy_usage.distr | R Documentation |
Distribution-valued dataset for 10 towns (geographic areas) with categorical probability distributions for fuel type and central heating. Each observation has two distribution-valued variables.
data(energy_usage.distr)
A data frame with 10 observations and 2 distribution-valued variables:
fuel_type: Distribution over fuel types
(None, Gas, Oil, Electricity, Coal).
central_heating: Distribution over central heating
(No, Yes).
Row names are Town_1 through Town_10.
| Sample size (n) | 10 |
| Variables (p) | 2 |
| Subject area | Energy |
| Symbolic format | Distribution |
| Analytical tasks | Descriptive statistics |
Billard, L. and Diday, E. (2006), Table 3.7.
Billard, L. and Diday, E. (2006). Symbolic Data Analysis: Conceptual Statistics and Data Mining. Wiley, Chichester. Table 3.7.
data(energy_usage.distr)
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