Handle 'JSON-stat' format (< https://json-stat.org>) in R. Not all features are supported, especially the extensive metadata features of 'JSON-stat'.
Read and write data sets in the JSON-stat format.
From CRAN (most people use this):
install.packages('rjstat')
From github (development version):
library(devtools)install_github("ajschumacher/rjstat")
library(rjstat) oecd.canada.url <- "http://json-stat.org/samples/oecd-canada.json" # Read from JSON-stat to a list of data frames:results <- fromJSONstat(readLines(oecd.canada.url))names(results) ## [1] "Unemployment rate in the OECD countries 2003-2014"## [2] "Population by sex and age group. Canada. 2012" # You can also read in using the typically terser IDs rather than labels.results <- fromJSONstat(readLines(oecd.canada.url), naming="id")names(results) ## [1] "oecd" "canada" # Convert from a list of data frames to a JSON-stat string.# (The data frames must have exactly one value column.)library(reshape)irises <- melt(cbind(iris, Specimen=rep(1:50, 3)), id.vars=c("Species", "Specimen"))irisJSONstat <- toJSONstat(list(iris=irises))cat(substr(irisJSONstat, 1, 76)) ## {"version":"2.0","class":"collection","link":{"item":[{"class":"dataset","id # You can successfully convert back and forth, but only for the features that# make sense in both R and JSON-stat.head(fromJSONstat(irisJSONstat)[[1]]) ## Species Specimen variable value## 1 setosa 1 Sepal.Length 5.1## 2 setosa 1 Sepal.Width 3.5## 3 setosa 1 Petal.Length 1.4## 4 setosa 1 Petal.Width 0.2## 5 setosa 2 Sepal.Length 4.9## 6 setosa 2 Sepal.Width 3.0