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get_psgc() has a completely new
interface. It is now re-exported directly from the psgc
package. The old parameters (token, version,
level, harmonize, minimal,
cols) are gone. Use the new psgc parameters
instead:
# Before
get_psgc(level = "regions")
get_psgc(grepl("^10", area_code)) # dplyr filter
# After
get_psgc(geographic_level = "region")
psgc_all <- get_psgc()
psgc_all[grepl("^10", psgc_all$psgc_code), ] # base R subsettingSee vignette("psgc", package = "psgc") for full
documentation.
... (dplyr filter) removed from all
classification functions. get_psic(),
get_psoc(), get_pcpc(),
get_psced(), and get_pcoicop() no longer
accept unquoted filter expressions. Filter rows with standard R
subsetting after the call.
token and harmonize parameters
removed from all classification functions. Data is now always
sourced from the bundled local dataset — no API access or internet
connection is needed.
Added get_psccs() for the Philippine Standard
Commodity Classification System (PSCCS 2018).
All classification functions gain a
cols = "description" option to include the full text
description alongside value and
label.
PCOICOP now ships both the 2020 (default) and 2009 editions.
Switch with get_pcoicop(version = "2009").
Removed runtime dependencies on dplyr,
tidyr, purrr, stringr, and
jsonlite. The only Imports are now cli and
psgc.
Minimum R version lowered from 4.1.0 to 3.5.
Data is pre-parsed at build time into a compressed
sysdata.rda, making all functions substantially
faster.
These 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.