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type_convert_silent()
to parse NA
strings as characters, not explicit missing values.ipc_get_analyses()
call to properly pass
country
parameter to the API.ipc_get()
is more robust
by defaulting to requesting a CSV return from the API rather than JSON,
allowing for simpler cleaning in all ipc_get_...()
functions.return_format
to be specified as GeoJSON for
ipc_get_areas()
, directly loading in an sf
object.ipc_get_population()
nested
JSONs to be more robust to changes in the API.R-CMD-check
GitHub Action to run weekly to check
for changes to the API, since all function examples are re-run during
the check.ipc_get_population()
to deal with missing
areas data when it is removed from the API.assert_start_end()
so it correctly tests
start
and end
parameters without generating an
error.ipc_get()
to initially read all numeric vectors
as character in as some errors were created in nested data frames that
only contained integers.ipg_get_...()
functions returned
properly parsed numeric columns and fixed some unnesting data frames in
ipc_get_areas()
.anl_id
column to always be
analysis_id
.tidy_df
parameter so user can
choose to receive data as returned direct from the API, and fully
document cleaning in each function.create_date_columns()
to avoid warnings when
parsing missing values in the period_dates
column.areas
output back to
ipc_get_populations()
as it was added back to the IPC
APIipc_get_populations()
by removing calculations
for the areas
data frame which was removed from the
APIipc_get_icons()
and ipc_get_populations()
changed so all date columns converted from character to date
explicitly.ipc_get_analyses()
and ipc_get_country()
changed to use anl_id
.ipc_get()
memoised to avoid repeated calls to the API.
Now all ipc_get_...()
functions are cached in a
session.ipc_get_population()
was fixed so renaming worked
correctlyThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.