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Download and import open Swiss economic time series from dataseries.org, a comprehensive and
up-to-date collection of public data from Switzerland. The package talks
to the public dataseries.org API
and imports series as a data.frame or ts
object.
install.packages("dataseries")Or the development version from GitHub:
# install.packages("remotes")
remotes::install_github("cynkra/dataseries")A Python package
with the same interface is available:
pip install dataseries.
Data on dataseries.org is organized into datasets. A
dataset is a family of related series and, in most cases, a
multi-dimensional cube — a single time series is one cell of
that cube, addressed by the dataset plus one code per dimension. For
example the GDP dataset (ch_seco_gdp) splits along three
dimensions: type (nominal/real/…), structure
(GDP, value added, …) and seas_adj (seasonally adjusted or
not).
ds_catalog() lists every dataset.ds_search(pattern) is a flat, searchable list of the
individual series.ds_meta(id) describes a dataset’s dimensions and the
codes within them.ds(id, ...) downloads series.library(dataseries)
# Browse what's available
ds_catalog()
# Find a specific series across all datasets
ds_search("unemployment")
# A dataset's dimensions and codes
ds_meta("ch_seco_gdp")
# Whole dataset (long data.frame)
ds("ch_fso_cpi")
# One series: pass dimension codes as named arguments
ds("ch_fso_cpi", item = "100_100")
# Several series, restricted to a date range
ds("ch_fso_cpi", item = c("100_100", "100_1"), from = "2020-01-01")
# One cell of a multi-dimensional cube, as a ts object
ds("ch_seco_gdp", type = "real", structure = "gdp", seas_adj = "csa",
class = "ts")All series on dataseries.org are regular (annual, quarterly or
monthly), so ts covers them. If you prefer
xts, convert the ts in one line:
xts::as.xts(ds("ch_fso_cpi", item = "100_100", class = "ts")).
Dimension arguments are optional: omit them and you get the whole
dataset. Filtering happens on the server, so selecting one series does
not download the whole cube. Downloads are cached in memory for the
session; cache_rm() forces a fresh download.
The catalog and search index are translated. Pass lang
to get titles and labels in any Swiss national language (English is used
where a translation is missing):
ds_catalog(lang = "de")
ds_search("arbeitslosen", lang = "de")Searching matches the labels in the chosen language, so you can look for German terms directly.
In Python, use the dataseries package, which mirrors this interface and returns pandas DataFrames.
Every series is also available as a plain CSV from any tool that can read a URL:
https://api.dataseries.org/series.csv?dataset=ch_fso_cpi&dims=item=100_100These 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.