For full source, see https://github.com/shanlong-who/DSIR.
gho_clean() and sdg_clean() now share a
single 15-column output schema: source, id,
indicator, location, iso3,
location_name, year, value,
value_num, low, high,
series, dim1, dim2,
dim3. This lets results from the two APIs be combined
directly (see bind_indicators() below). Migration notes
from 0.6.x:
gho_clean() output no longer has 11 columns; it has 15.
New columns include source ("gho"),
iso3 (the ISO3 alpha-3 code when the spatial dim matches a
WHO Member State, NA otherwise), location_name
(resolved against who_countries and WHO regional codes; see
the bug-fix note below), and series (always NA
— an SDG-only concept).sdg_clean() output no longer has 10 columns and is
reshaped to the unified schema. Several columns moved or were renamed:
the SDG goal and target columns are no longer
carried forward; the SDG indicator code is now in id (was
indicator); the human-readable series description has moved
to indicator (was not present before); a new
iso3 column holds the ISO3 alpha-3 code via
m49_to_iso3() for Member States.value_num / low /
high to numeric; non-numeric raw values (e.g. SDG
"<0.1") yield NA in those columns while
value keeps the raw character form.year to integer.New bind_indicators(...): stacks any number of
tibbles returned by gho_clean() and
sdg_clean() into a single tibble. Because the two cleaners
now share a schema, the result is uniform and can be filtered, joined,
or visualised without source-specific code paths; use the
source column to distinguish GHO from SDG rows.
New m49_to_iso3(): maps UN M49 numeric area codes to
ISO3 country codes, the counterpart to iso3_to_m49().
Accepts zero-padded ("076") and bare ("76")
input. Non-Member areas — including region / world aggregates — return
NA. Used internally by sdg_clean() to populate
the new iso3 column.
Fixed a duplicate definition of sdg_coverage(): the
function was defined in both R/sdg.R and
R/sdg_coverage.R, and R’s alphabetical source-file loading
meant the wrong copy (with a fragile \r composite-key
separator and no upfront .resolve_area() call) was the one
actually in effect. The surviving implementation now uses
\x1f as the composite-key separator and resolves the
area argument up-front, so the documented “unknown ISO3
codes warn and are dropped” message surfaces cleanly from
sdg_coverage() rather than being swallowed inside an
internal call to sdg_data().
.gho_get() now sets a 20-second per-request timeout
and applies the same exponential backoff
(backoff = ~ min(2 ^ .x, 30)) as .sdg_get().
Previously a hung upstream request could stall an entire
gho_data() call indefinitely.
Network helpers now also fail soft on malformed response bodies.
.gho_get(), .sdg_get(), and the inline call in
gho_count() wrap httr2::resp_body_json() in
tryCatch(), so a truncated upstream response (premature
EOF) surfaces a warning and returns NULL /
NA_integer_ instead of propagating a parse error to the
caller. Previously such a response could halt an
R CMD check example run,
e.g. sdg_goals(include_children = TRUE) against a flaky UN
endpoint.
gho_clean() and sdg_clean() now
populate location_name consistently across both APIs. WHO
Member States are resolved against who_countries$name_short
in both cleaners, so the same country has the same
location_name regardless of source.
gho_clean() additionally resolves the WHO regional codes
(AFR, AMR, SEAR,
EUR, EMR, WPR) and
GLOBAL to their human-readable names.
sdg_clean() falls back to the SDG API’s original
geoAreaName for non-Member-State rows (e.g. regional and
world aggregates), preserving information that
who_countries does not carry.
gho_clean() now actually populates the
indicator column. The GHO data endpoint
(/api/{IndicatorCode}) does not return
IndicatorName, so the old implementation left
indicator NA for every row despite the
documented mapping. gho_clean() now lazy-loads the
indicator catalog (via gho_indicators()) once per R session
and resolves IndicatorCode against it to fill the
indicator column with the human-readable name. The output
schema is unchanged; if the catalog cannot be fetched,
indicator falls back to NA and a warning
surfaces from gho_indicators().
\donttest{} instead of
\dontrun{}, so CRAN reviewers can opt to run them.Added httptest2 to Suggests. The GHO and SDG helpers
gain offline regression tests covering the empty value=[]
fix, the OData pagination loop, the multi-value SDG
indicator / areaCode repeated-key URL form,
the client-side SDG year filter, and the graceful-failure behaviour on
HTTP errors.
Test coverage expanded for gho_clean(),
sdg_clean(), bind_indicators(),
m49_to_iso3(), scale_*_dsi_col(), the
who_countries dataset, and the regional ISO3
vectors.
theme_dsi() now draws grid lines in both directions
by default. New grid argument controls direction — pass
grid = "y" to restore the previous look (horizontal grid
only). This change fixes the visual glitch where horizontal bar charts
(made with coord_flip()) had grid lines running parallel to
the bars instead of crossing them.
theme_dsi_facet() gains a grid argument
mirroring theme_dsi()’s — defaults to "both"
(unchanged behaviour); pass "y", "x", or
"none" to control which direction(s) the grid
runs.
New scale_y_dsi_col() and
scale_x_dsi_col() — drop-in replacements for
scale_y_continuous() / scale_x_continuous()
that remove the lower axis expansion, so columns in bar charts sit flush
with the axis (WHO publication style).
New theme_dsi_facet() for faceted plots — uses panel
borders, light-grey strip backgrounds, and bilateral grid
lines.
New GHO data-availability helpers, for screening indicator / filter combinations before pulling a full result set:
gho_has_data() returns TRUE /
FALSE / NA for whether the server has any rows
for an indicator and filter.gho_count() returns the row count the same filter would
yield, using the OData $count=true endpoint (no rows
transferred).gho_coverage() returns a tibble with
location, year_min, year_max,
n_obs per area, using
$select=SpatialDim,TimeDim to keep the payload small.sdg_indicators() gains a search
parameter, mirroring gho_indicators(search). Accepts either
a single string (split on whitespace into terms) or a character vector
(terms used verbatim). All terms must match (AND semantics,
case-insensitive substring on the indicator description
column). The filter is applied client-side because the UN SDG
/Indicator/List endpoint is not OData and exposes no
server-side search parameter; the list is small enough (~250 rows) that
this is cheap.
New sdg_coverage(): series-exploration helper for
SDG indicators. An SDG indicator (e.g. "3.4.1") typically
contains several series stratified by sex, age, or cause;
sdg_coverage() returns a tibble of
(location, series, year_min, year_max, n_obs) so you can
see which series exist and how each is covered. This is intentionally
framed as series-exploration rather than as a
gho_has_data() / gho_count()-style
availability precheck — SDG data is generally complete, so those
screening helpers are deliberately not provided for SDG.
New geomean(): geometric mean of a numeric vector,
with optional weights via w. Useful for aggregating
ratio-based health indicators such as UHC service-coverage tracers.
Handles NA (removed by default), zeros (returns 0), and negative values
(warns and returns NaN).
New iso3_to_m49(): maps ISO3 country codes to UN M49
numeric codes using the bundled who_countries dataset.
Non-Member codes return NA. Input is
case-insensitive.
sdg_data() and sdg_coverage() now
accept ISO3 codes directly for the area argument; M49 codes
continue to work unchanged. DSIR’s regional vectors
(wpro_cty, afro_cty, etc.) can now be passed
directly to SDG functions, matching the existing GHO workflow. ISO3 and
M49 cannot be mixed within a single call.
New iso3_to_region(): maps ISO3 country codes to WHO
region codes ("AFR", "AMR",
"SEAR", "EUR", "EMR",
"WPR") using the bundled who_countries
dataset. Pass long = TRUE for full names
("Western Pacific", etc.). Non-Member codes (e.g. Associate
Members like "PRI") return NA. Stays in sync
with WHO governance changes reflected in DSIR — e.g. Indonesia in WPR
since EB156 (May 2025).
sdg_data(): year filtering (year_from /
year_to) is now applied client-side. The UN SDG API’s
server-side timePeriodStart / timePeriodEnd
parameters were causing HTTP 500 errors and ~30x slowdowns on at least
some indicator/area combinations (e.g. 3.2.1 with
area = "608"); client-side filtering avoids the issue.
User-facing behaviour is unchanged. sdg_coverage() inherits
the fix automatically because it dispatches through
sdg_data().
.sdg_get() now sets a 20-second per-request timeout
and exponential backoff between retries
(backoff = ~ min(2^.x, 30)), so a hung upstream request
cannot stall a call indefinitely.
The internal pagination helper .gho_get() previously
produced a spurious 1-row, 1-column tibble (V1 of type
list) when the server returned an empty result set
(value = []). Empty value chunks are now
skipped and an empty tibble is returned when no rows accumulate. This
affected gho_data() on filters with no matches (e.g. an
indicator + area combination GHO has no data for) and
gho_indicators(search) when no indicator name matched the
search term.
sdg_data() now correctly filters when more than one
indicator or area code is supplied. The SDG API expects multi-value
parameters as repeated keys (indicator=A&indicator=B),
but the previous implementation joined them with commas
(indicator=A,B); the API silently dropped the filter and
returned all rows. Single-value calls were unaffected.
sdg_data() no longer errors with
duplicate 'row.names' are not allowed when the result
spans more than one page. The per-page row-name handling has been
simplified.
theme_dsi(): removed the color argument
and added accent instead. The semantics are different:
color previously controlled text colour, while
accent now controls axis line and tick colour. If you used
theme_dsi(color = X) in 0.2.x, change to
theme_dsi(accent = X) and note that the visual effect has
shifted from “everywhere” to “axis only”. Text colour is now fixed to
grey20 to follow modern publication conventions.gho_data() now correctly handles long area
vectors. Previously, passing more than ~22 ISO3 codes hit the upstream
query string length limit and resulted in HTTP 400 errors. Switched from
chained OR clauses to the OData in operator, which
generates a much shorter URL and supports up to ~115 codes per
call.New gho_clean(): post-processor for
gho_data() output. Selects the useful columns and renames
them to snake_case (id, location,
year, dim1-dim3,
value, value_num, low,
high, indicator). Output schema is stable
across indicators — missing columns are filled with NA. See
?gho_clean for details.
New sdg_clean(): counterpart for
sdg_data(). Renames the SDG API columns to snake_case and
flattens the indicator list-column. Returns
value, low, and high as character
to preserve non-numeric entries ("<0.1", aggregate
notes); coerce with as.numeric() downstream. See
?sdg_clean for details.
theme_dsi() redesigned to follow modern publication
conventions (BBC, OECD, Financial Times style):
grey92, was
grey85)grey20legend_position argumentgho_data() now infers
spatial_type = "country" when area is provided
without an explicit spatial_type. Pass
spatial_type explicitly to silence the message.
gho_data() now validates the area
argument: must be a non-NA, non-empty character vector.
New who_countries dataset: a tibble of all 194 WHO
Member States with ISO3, ISO2, UN M49 numeric code, official and short
names, WHO region, and a is_pic flag for the 14 Pacific
Island Country Member States.
New regional ISO3 character vectors for ergonomic filtering:
afro_cty, amro_cty, searo_cty,
euro_cty, emro_cty, plus pic_cty.
All are derived from who_countries and stay consistent with
the master table.
wpro_cty now contains 28 countries (was 22 in
0.2.0). This reflects the May 2025 World Health Assembly
decision (EB156) reassigning Indonesia from the South-East Asia Region
to the Western Pacific Region, along with Cook Islands and Niue, which
are full WHO Member States but were previously omitted. Code that
aggregates over wpro_cty (sums, counts, joins) will produce
different results than under DSIR 0.2.x — this is intended.data-raw/who_countries.R as the single source of
truth for all country-related datasets. Editing one file regenerates the
master tibble and all derived vectors.Initial CRAN submission. Renamed from DSI to avoid a
name clash with the existing CRAN DSI package.
gho_dimensions() returns the unique values of a
dimension column for a given GHO indicator, to make it easier to
discover which breakdowns (sex, age, region, etc.) are available before
calling gho_data().sdg_targets() lists Sustainable Development Goal
targets from the UN SDG API, complementing sdg_goals() and
sdg_indicators().theme_dsi() and dsi_flextable_defaults()
now default to the device / package default font
(base_family = ""), so they work on systems where Cambria
is not installed. Pass base_family = "Cambria" to get the
original look.ggpie() gains input validation and uses tidy-evaluation
helpers internally, so R CMD check no longer reports
undefined global variables.gho_*() and sdg_*() now fail gracefully
when the remote service is unreachable, per CRAN policy for packages
that hit the network. They warn and return an empty data frame (or
NULL) instead of raising a hard error.roxygen2 help pages for every exported function,
with cross-references between related functions.\donttest{} (not
\dontrun{}) for network-dependent code, so CRAN reviewers
can opt into running them.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.