The source being a URL is not important.
The important things are
- what the structure of the JSON data is
- what the MEANING of the JSON data is
- what that meaning says about what SHOULD appear in the data
from in these cases.
Arguably this isn't even an R question at all. It's a question about your
data.
Since you have replaced the actual URL with a dummy (example.com is the
traditional
never-to-be-in-use host name), we cannot even guess these things by looking
at the
data ourselves.
On Thu, 20 May 2021 at 11:54, Bhaskar Mitra <bhaskar.kolk...@gmail.com>
wrote:
> Hello Everyone,
>
> I am trying to extract data from a url. The codes work well when the
> data structure is as follows:
>
> X Y
> 1 2
> 1 5
> 1 6
> 1 7
> 3 4
>
> However, the code fails when the data structure has no number
> under the 2nd column (shown below).I get the following error:
>
> "Error in data.frame(..., check.names = FALSE) :
> arguments imply differing number of rows: 242, 241"
>
>
> X Y
> 1 2
> 1
> 1
> 1 7
> 3 4
>
> Can anyone please help me in how I can modify the codes ( shown below) to
> adjust for the above mentioned condition
> in the data structure.
>
> library(rjson)
>
> url <- "abcd.com"
> json_data <- fromJSON(file= url)
> d3 <- lapply(json_data[[2]], function(x) c(x["data"]))
> d3 <- do.call(rbind, d3)
> X_Dataframe = as.data.frame(unlist(d3[[1]]))
> b <- do.call("cbind", split(X_Dataframe, rep(c(1, 2), length.out =
> nrow(X_Dataframe))))
>
>
> regards,
> bhaskar
>
> [[alternative HTML version deleted]]
>
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>
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