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Build a synthetic OTIS data.frame for a given publication id.

Source: R/synth_otis.R
morie_synth_otis.Rd

Returns a data.frame mirroring the column shape + categorical level set of the published OTIS dataset for the given id (a01, b01..b09, c01..c12, or d01..d07). Schema is derived from the Ontario MCSCS XLSX data dictionary that ships at inst/extdata/otis_dictionary.json. Values are randomly drawn from the dictionary categorical levels (or 0..80 for count columns); used only for offline-no-fixture fallback in tests and demos. NOT a substitute for the real OTIS data published at https://data.ontario.ca/dataset/data-on-inmates-in-ontario.

Usage

morie_synth_otis(id, n = 200L, seed = 1L)

Arguments

id

Character; one of "a01", "b01".."b09", "c01".."c12", or "d01".."d07". Unknown ids fall through to the b01 person-level panel.

n

Integer; number of synthetic rows. Default 200.

seed

Integer; RNG seed for reproducibility. Default 1.

Value

A data.frame with the dictionary-derived schema.

See also

morie_synth_otis_all for the full 29-dataset list; morie_datasets_otis_a01 and friends for the real bundled+live loaders.

Examples

df <- morie_synth_otis("c11", n = 50)
head(df)
#>   EndFiscalYear Aggregate_Duration NumberIndividuals_RestrictiveConfinement
#> 1          2018       6 to 10 days                                       59
#> 2          2021      21 to 25 days                                       50
#> 3          2024      16 to 20 days                                       33
#> 4          2018      21 to 25 days                                        9
#> 5          2019      11 to 15 days                                        0
#> 6          2022      16 to 20 days                                       42
#>   NumberIndividuals_Segregation
#> 1                            65
#> 2                            18
#> 3                            16
#> 4                            33
#> 5                            74
#> 6                            30