Help in modifying code to extract data from url
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.kolkata at 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
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