Get similar attribute values combination

Get sets of attribute values that differ only by tildes, spaces, or punctuation marks, for the combination of the given set of attributes. If no attributes are indicated, they are all considered together.

Usage

# S3 method for flat_table
get_similar_attribute_values(
  db,
  name = NULL,
  attributes = NULL,
  exclude_numbers = FALSE,
  col_as_vector = NULL
)

get_similar_attribute_values(
  db,
  name,
  attributes,
  exclude_numbers,
  col_as_vector
)

# S3 method for star_database
get_similar_attribute_values(
  db,
  name = NULL,
  attributes = NULL,
  exclude_numbers = FALSE,
  col_as_vector = NULL
)

Arguments

db

A flat_table or star_database object.

name

A string, dimension name.

attributes

A vector of strings, attribute names.

exclude_numbers

A boolean, exclude numbers from comparison.

col_as_vector

A string, name of the column to include a vector of values.

Value

A vector of tibble objects with similar instances.

Details

For star databases, a list of dimensions can be indicated, otherwise it considers all dimensions. If a dimension is indicated, a list of attributes to be considered in it can also be indicated.

You can indicate that the numbers are ignored to make the comparison.

If a name is indicated in the col_as_vector parameter, it includes a column with the data in vector form to be used in other functions.

See also

star_database, flat_table

Other star database and flat table functions: get_attribute_names.flat_table(), get_measure_names.flat_table(), get_similar_attribute_values_individually.flat_table(), get_unique_attribute_values.flat_table(), replace_attribute_values.flat_table(), set_attribute_names.flat_table(), set_measure_names.flat_table(), snake_case.flat_table()

Examples

instances <- star_database(mrs_cause_schema, ft_num) |>
  get_similar_attribute_values(name = "where")

db <- star_database(mrs_cause_schema, ft_num)
db$dimensions$where$table$City[2] <- " BrId  gEport "
instances <- db |>
  get_similar_attribute_values("where")

db <- star_database(mrs_cause_schema, ft_num)
db$dimensions$where$table$City[2] <- " BrId  gEport "
instances <- db |>
  get_similar_attribute_values("where",
    attributes = c("City", "State"),
    col_as_vector = "As a vector")

ft <- flat_table('iris', iris)
ft$table$Species[20] <- "se.Tosa."
ft$table$Species[60] <- "Versicolor"
instances <- ft |>
  get_similar_attribute_values()