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uci-ml-to-r/data-collection/credit-card/preprocess.R

40 lines
1.8 KiB
R

preprocess.dataset = function()
{
xls.file = "default of credit card clients.xls"
wk = loadWorkbook(file.path(orig.dir, xls.file))
dataset = readWorksheet(wk, sheet = "Data", startRow = 2, startCol = 2,
check.names = FALSE)
dataset = dataset %>%
mutate(LIMIT_BAL = as.integer(LIMIT_BAL),
SEX = factor(SEX),
EDUCATION = factor(EDUCATION), # can not order due to
# inconsistency with
# UCI description
MARRIAGE = factor(MARRIAGE),
AGE = as.integer(AGE),
PAY_0 = as.integer(replace(PAY_0, PAY_0 < 0, 0)),
PAY_2 = as.integer(replace(PAY_2, PAY_2 < 0, 0)),
PAY_3 = as.integer(replace(PAY_3, PAY_3 < 0, 0)),
PAY_4 = as.integer(replace(PAY_4, PAY_4 < 0, 0)),
PAY_5 = as.integer(replace(PAY_5, PAY_5 < 0, 0)),
PAY_6 = as.integer(replace(PAY_6, PAY_6 < 0, 0)),
BILL_AMT1 = as.integer(BILL_AMT1),
BILL_AMT2 = as.integer(BILL_AMT2),
BILL_AMT3 = as.integer(BILL_AMT3),
BILL_AMT4 = as.integer(BILL_AMT4),
BILL_AMT5 = as.integer(BILL_AMT5),
BILL_AMT6 = as.integer(BILL_AMT6),
PAY_AMT1 = as.integer(PAY_AMT1),
PAY_AMT2 = as.integer(PAY_AMT2),
PAY_AMT3 = as.integer(PAY_AMT3),
PAY_AMT4 = as.integer(PAY_AMT4),
PAY_AMT5 = as.integer(PAY_AMT5),
PAY_AMT6 = as.integer(PAY_AMT6),
`default payment next month` =
factor(`default payment next month`)
)
return(dataset)
}