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Normalize JSON strings.
library(jsonNormalize)
<- "
badJstring [
{ 01: false, 999: true, },
{
area: 30,
thirty: '30',
ind: [5, 4.1, 3.7 , 1e3,],
'cluster' : true ,
\"999\": false,
city: 'London'
},
[ null, undefined, NaN],
{
'null': null,
'undefined': undefined,
'NaN': NaN
}
]"
<- jsonNormalize(badJstring, prettify = TRUE)
goodJstring cat(goodJstring)
[
{
"999": true,
"01": false
},
{
"999": false,
"area": 30,
"thirty": "30",
"ind": [
5,
4.1,
3.7,
1000
],
"cluster": true,
"city": "London"
},
[
null,
"",
""
],
{
"null": null,
"undefined": "",
"NaN": ""
}
]
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They may not be fully stable and should be used with caution. We make no claims about them.