I have experimental data expressed as dicts of key-value pairs for each experiment. A set of related experiments is serialized as a list of these dicts in JSON. This is parseabl
This is interesting. The easiest way would be to fix the Python code so that the dict can be transformed more easily.
But, how about this?
k1 <- unlist(lapply(data,FUN=function(x){return(x[[1]])}))
k2 <- unlist(lapply(data,FUN=function(x){return(x[[2]])}))
data.frame(k1,k2)
You will need to cast k1 and k2 into the correct data type still, but this should accomplish what you are looking for.