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New vignette, vignette("dataseries"), introducing
dataseries.org and walking through the package.
ds_catalog() and ds_search() gain a
lang argument ("en", "de",
"fr" or "it"). dataseries.org publishes its
labels in all four languages and the package used to discard everything
but English. Searching also matches in the chosen language, so
ds_search("arbeitslosen", lang = "de") works. Missing
translations fall back to English.
The concept and topic columns of
ds_catalog() were NA for every dataset. Both
are objects in the API and were being read as if they were plain
strings. concept now holds the (translated) concept and
topic the stable topic key.
The path column of ds_search() repeated
each element once per language,
e.g. "Total / Total / Total / Totale". It now holds the
path in the chosen language.
Relicensed from GPL-3 to MIT.
The README no longer points to GitHub for the current version; 1.0.0 and later are on CRAN.
Added a pointer to the Python package, which mirrors this interface.
This is a ground-up rewrite. dataseries.org now serves its data
through a public API (api.dataseries.org), and the package
has been rebuilt around it. The old flat series identifiers
(e.g. "CCI.AIK") no longer exist, so this release is
not backward compatible.
ds(dataset, ..., from, to, class) is the new download
function. The first argument is a dataset id; dimension filters are
passed as named arguments
(e.g. ds("ch_seco_gdp", type = "real", structure = "gdp")).
The default data.frame is returned in long (tidy) format;
class = "ts" lays the selected series out as columns. The
xts option (and the xts dependency) has been
dropped, as all series are regular-frequency and covered by
ts.ds_catalog() lists all datasets (replaces
inventory()).ds_search(pattern) is a flat, searchable list of the
individual series across all datasets — the finest-grained way to
discover what exists.ds_meta(dataset) returns a dataset’s dimensions and
codes, for discovery.inventory() is deprecated; it now
warns and calls ds_catalog().cache_ls() / cache_rm() continue to manage
the in-memory cache.class = "ts".inventory(), returns a data.frame with all
series on www.dataseries.org.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.