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Bind Cleaned Indicator Tibbles

Source: R/bind_indicators.R
bind_indicators.Rd

Combines two or more tibbles produced by gho_clean() or sdg_clean() or ghe_clean() into a single tibble. All cleaners output the same 15-column core schema. The result is a uniform table that can be filtered, joined, or visualised without source-specific code paths; use the source column to identify GHO, SDG and GHE rows.

Usage 

bind_indicators(...)

Arguments

...

Two or more tibbles returned by gho_clean() or sdg_clean() or ghe_clean() (or any data frame containing the core columns). NULL arguments are dropped. Calling with no inputs — or only NULL inputs — returns the empty 15-column tibble.

Value

A single tibble with the unified cleaned- indicator schema (15 core columns), followed by any additional columns in first-seen order. Row order is c(input_1, input_2, ...), preserving within-input order.

Details

Inputs do not need to be in any particular order. NULL inputs are silently dropped, which makes it ergonomic to write code like bind_indicators(maybe_gho, maybe_sdg) where some sources may not have been fetched.

Additional columns, including named dimensions from sdg_clean(keep_dimensions = TRUE), are preserved. Columns absent from an input are filled with typed missing values. Binding rows does not harmonise dimension codes or indicator definitions across sources. gho_clean(keep_metadata = TRUE) retains a row-level provider column so legacy and xMart GHO observations remain distinguishable after binding. Binding does not merge the input who_provenance attributes; preserve raw pulls or snapshots when request-level provenance is needed.

See also

gho_clean(), sdg_clean(), ghe_clean().

Examples 

# \donttest{
gho <- gho_data("NCDMORT3070", area = wpro_cty) |> gho_clean()
sdg <- sdg_data("3.4.1",        area = wpro_cty) |> sdg_clean()
bind_indicators(gho, sdg)
# }