Reputation: 183
I have a json file from which i am importing the data
myList = rjson::fromJSON(file = "JsData.json")
myList
[[1]]
[[1]]$key
[1] "type1|new york, ny|NYC|hit"
[[1]]$doc_count
[1] 12
[[2]]
[[2]]$key
[2] "type1|omaha, ne|Omaha|hit"
[[2]]$doc_count
[2] 8
But when I am trying to convert to a data frame by function below ,
do.call(rbind, lapply(myList, data.frame))
I am getting an error.-
Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, : arguments imply differing number of rows: 1, 0
I need to parse this data so that it can be used in excel csv. I looked at the solution for Getting imported json data into a data frame in R
but the output is not coming in the proper usable format in excel.
And the JsData.json sample data looks like this:
[{"key":"type1|new york, ny|NYC|hit","doc_count":12},
{"key":"type1|omaha, ne|Omaha|hit","doc_count":8},
{"key":"type2|yuba city, ca|Yuba|hit","doc_count":9}]
Upvotes: 0
Views: 1318
Reputation: 467
You can try :
require(jsonlite)
s ='[{"key":"type1|new york, ny|NYC|hit","doc_count":12},
.......
"key":"type2|yuba city, ca|Yuba|hit","doc_count":9}]'
df <- fromJSON(s)
df
key doc_count
1 type1|new york, ny|NYC|hit 12
2 type1|omaha, ne|Omaha|hit 8
3 type2|yuba city, ca|Yuba|hit 9
I don't know how you want to deal wiyh you key .....
Upvotes: 1