https://github.com/ajschumacher/rjstat

read and write JSON-stat with R
https://github.com/ajschumacher/rjstat

cran json-stat r

Last synced: 2 months ago
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read and write JSON-stat with R

• Host: GitHub
• URL: https://github.com/ajschumacher/rjstat
• Owner: ajschumacher
• License: other
• Created: 2013-10-25T22:56:58.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2023-09-04T16:40:15.000Z (over 1 year ago)
• Last Synced: 2024-04-26T18:23:17.681Z (9 months ago)
• Topics: cran, json-stat, r
• Language: R
• Homepage:
• Size: 265 KB
• Stars: 31
• Watchers: 12
• Forks: 6
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# rjstat: read and write JSON-stat with R

[![Build Status](https://app.travis-ci.com/ajschumacher/rjstat.svg?branch=master)](https://app.travis-ci.com/ajschumacher/rjstat) [![Coverage Status](https://coveralls.io/repos/github/MansMeg/rjstat/badge.svg?branch=master)](https://coveralls.io/github/MansMeg/rjstat?branch=master) [![rstudio mirror downloads](https://cranlogs.r-pkg.org/badges/grand-total/rjstat)](https://github.com/r-hub/cranlogs.app)

[![cran version](https://www.r-pkg.org/badges/version/rjstat)](https://CRAN.R-project.org/package=rjstat)

Read and write data sets in the [JSON-stat](https://json-stat.org/) format.

### Installation:

[From CRAN](https://cran.r-project.org/package=rjstat) (most people use this):

```s

install.packages('rjstat')

```

[From github](https://github.com/ajschumacher/rjstat) (development version):

```s

library(devtools)

install_github("ajschumacher/rjstat")

```

### Usage:

```s

library(rjstat)

oecd.canada.url <- "https://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

```