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mdequeljoe/readsdmx
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Readsdmx 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)
TheRapidXML C++ library is used to parse the data.
From CRAN:
install.packages("readsdmx")From GitHub:
devtools::install_github("mdequeljoe/readsdmx")
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)
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
pandasdmx (python)
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read sdmx data into R dataframes
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