| mrs_db_geo | R Documentation | 
The original dataset covers from 1962 to 2016. For each week, in 122 US cities, from the original file, we have stored in the package a file with the same format as the original file but that includes only 1% of its data, selected at random.
mrs_db_geo
A star_database.
From these data the constellation in the vignette titled 'Obtaining and transforming flat tables' has been generated. This variable contains the defined constellation.
Other mrs example data: 
ft,
ft_age,
ft_age_rpd,
ft_cause_rpd,
ft_num,
mrs_db,
mrs_ft,
mrs_ft_new
# Defined by:
sq <- mrs_db |>
  star_query() |>
  select_dimension(name = "where",
                   attributes = "state") |>
  select_dimension(name = "when",
                   attributes = "year") |>
  select_fact(
    name = "mrs_age",
    measures = "all_deaths"
  )  |>
  select_fact(
    name = "mrs_cause",
    measures = "pneumonia_and_influenza_deaths"
  )
db <- mrs_db |>
  run_query(sq)
mrs_db_geo <- db |>
  define_geoattribute(
    dimension = "where",
    attribute = "state",
    from_layer = us_layer_state,
    by = "STUSPS"
  )
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