| census.mix | R Documentation |
Mixed symbolic dataset of 10 census regions combining 6 different symbolic variable types: histograms (age, home value), distributions (gender, tenure), a multi-valued set (fuel), and an interval (income).
data(census.mix)
A symbolic data frame (symbolic_tbl) with 10 observations
(regions) and 6 variables:
age: Histogram-valued age distribution (12 age bins).
home_value: Histogram-valued home value distribution
(7 value bins, in $1000s).
gender: Distribution over gender (male, female).
fuel: Multi-valued set of fuel types used.
tenure: Distribution over housing tenure
(owner, renter, vacant).
income: Interval-valued household income range ($1000s).
Row names are Region_1 through Region_10.
| Sample size (n) | 10 |
| Variables (p) | 6 |
| Subject area | Demographics |
| Symbolic format | Mixed (interval, histogram, distribution, multi-valued) |
| Analytical tasks | Clustering |
Billard, L. and Diday, E. (2020), Table 7-23.
Billard, L. and Diday, E. (2020). Clustering Methodology for Symbolic Data. Wiley, Chichester. Table 7-23.
data(census.mix)
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