jared
33c0274727
Summarizes the per-capita and peer-cohort behavior changes for users upgrading from earlier 0.1 snapshots.
59 lines
2.8 KiB
Markdown
59 lines
2.8 KiB
Markdown
# uscogdata 0.1.0 (development)
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## Per-capita denominators now use per-year Census F-33 population
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* `cog_spending()` and `cog_revenue()` previously divided all years' amounts
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by a single ACS 2018-2022 estimate (`canonical_fips_xwalk.population_acs`),
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producing biased per-capita values for time-series analysis. They now
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divide by the F-33 `population` recorded on each gov-year via the new
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`gov_population_yearly` view. Result tibbles gain a `pop_source` column
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with values `"census_f33"` or `"unavailable"`. `notes` is updated to
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concatenate multiple notes with `"; "`.
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## Peer cohorts can be set to a chosen year
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* `cog_find_peers()` adds a `year` argument (default: most recent year for
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which the target has an observed population in `gov_population_yearly`).
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The returned column previously named `population_acs` is now `population`
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and reflects the cohort year's vintage. The cohort year is attached to the
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returned tibble as `attr(x, "cohort_year")`.
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* `cog_peer_compare()` now stamps a `cohort_year` column on its result (read
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from the peers tibble's attribute) and records `cohort_year` plus
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`cohort_govids` in provenance. When the caller supplies a bare character
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vector instead of a `cog_find_peers()` result, `cohort_year` is `NA`.
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## Rollups exclude govs missing population
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* `cog_geographic_rollup(per_capita = TRUE)` drops rows whose government has
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`pop_source == "unavailable"` and records the dropped govids in
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`provenance$rollup$excluded_govids`. This excludes special districts
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(type 4) and school districts (type 5) from per-capita rollups by design.
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## New: vignette and provenance metadata
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* New vignette `population-denominators` covers the four population sources,
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the type-4/5 coverage gap, the popyear quirk, and how to build moving-window
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peer cohorts manually.
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* Provenance gains `transformations$per_capita$popyear_range` and
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`pop_source_counts`. `cog_explain()` renders both.
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## New features
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* `cog_gov_search()` gains a **basket mode**: passing vector `name`
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/ `state` / `type` arguments resolves multiple place names in one
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call and returns a tibble of canonical rows in input order, ready
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to pipe into `cog_spending()` / `cog_revenue()`. Per-row resolution
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follows an exact-then-substring matching algorithm with deterministic
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disambiguation; ambiguous and missing entries are surfaced via a
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sidecar audit tibble plus a single console summary message.
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* New exports `cog_basket_resolution()` and `cog_basket_unresolved()`
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expose the basket sidecar for iterative query refinement.
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## Breaking changes
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* The first formal of `cog_gov_search()` was renamed from `pattern`
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to `name`. All existing call sites in `cog_explorer/` and the
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package itself use positional first-arg, so this rename is
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non-breaking in practice. Callers that pass `pattern = ...` by name
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must update to `name = ...`.
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