run_query: Run query

In starschemar: Obtaining Stars from Flat Tables

Run query

Description

Once we have selected the facts, dimensions and defined the conditions on the instances, we can execute the query to obtain the result.

Usage

run_query(dq, unify_by_grain = TRUE)

## S3 method for class 'dimensional_query'
run_query(dq, unify_by_grain = TRUE)

Arguments

dq	A dimensional_query object.
unify_by_grain	A boolean, unify facts with the same grain.

Details

As an option, we can indicate if we do not want to unify the facts in the case of having the same grain.

Value

A dimensional_query object.

See Also

Other query functions: dimensional_query(), filter_dimension(), select_dimension(), select_fact()

Examples

ms <- dimensional_query(ms_mrs) |>
  select_dimension(name = "where",
                   attributes = c("city", "state")) |>
  select_dimension(name = "when",
                   attributes = c("when_happened_year")) |>
  select_fact(
    name = "mrs_age",
    measures = c("n_deaths"),
    agg_functions = c("MAX")
  ) |>
  select_fact(
    name = "mrs_cause",
    measures = c("pneumonia_and_influenza_deaths", "other_deaths")
  ) |>
  filter_dimension(name = "when", when_happened_week <= "03") |>
  filter_dimension(name = "where", city == "Boston") |>
  run_query()

starschemar documentation built on Nov. 11, 2023, 5:09 p.m.