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I have a dataset with a few variables. Some of these variables are of mixed types (char, float, int, etc.) In the data file I have a few (5-8) separate columns for each variable with one row per variable. My datasets are not very large, around 5000 rows. The variables have been concatenated within the same line and separated by ‘;’ delimiter, with each variable seperated by brackets (usually []) to indicate its type:
target = as.factor(c(rep(1, 3), rep(2, 3)))
[1] 1 1 2 2
id = as.factor(c(1, 1, 2, 2, 1, 1, 2, 2))
[1] 1 1 2 2 1 2 2 1 2 2
time = as.numeric(c(4, 4, 4, 4, 3, 3, 3, 3))
[1] 4 4 4 4 3 3 3 3
temp = as.numeric(c(30, 30, 30, 30, 29, 29, 29, 29))
[1] 30 30 30 30 29 29 29 29
I also need to remove the brackets in order to use the data in R (and later also for a machine learning problem).
I know there has to be a way to do this using a loop, but I would like to make my code more efficient. I’m also not very advanced with Python, so any help will be appreciated.
So far I’ve tried this:
file_data = ncol(example_table)
file_data = file_data[-1]
file_data = unlist(file_data, use.names=FALSE)

But it only worked for the first line of my dataset and then I got an error regarding too many arguments. I also tried using read.table() in R, but again, I had
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