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readsdmx

Read sdmx data into dataframes from either a local SDMX-ML file or from a SDMX web-service:

u <-
  "https://stats.oecd.org/restsdmx/sdmx.ashx/GetData/HH_DASH/..Q"
d <- readsdmx::read_sdmx(u)

The RapidXML C++ library is used to parse the data.

Install

From CRAN:

install.packages("readsdmx")

From GitHub:

devtools::install_github("mdequeljoe/readsdmx")

Data messages

The follow data message types are supported:

• Compact (version 2.0)
• Generic (2.0 & 2.1)
• Structure Specific Data (2.1)
• Utility (2.0)
• Cross-sectional (2.0)
• Structure Code-lists (2.0 & 2.1)

Benchmark

For the above example (locally):

download.file(u, path <- tempfile(fileext = ".xml"), quiet = TRUE)
microbenchmark::microbenchmark(
  readsdmx = readsdmx::read_sdmx(path),
  rsdmx = as.data.frame(rsdmx::readSDMX(path, FALSE)),
  times = 5L,
  unit = "s"
)

#> Unit: seconds
#>      expr    min     lq   mean median     uq    max neval
#>  readsdmx  0.152  0.153  0.159  0.161  0.165  0.165     5
#>     rsdmx 23.955 24.578 24.732 24.937 25.005 25.185     5

Related

rsdmx

pandasdmx (python)

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.