handle missing values

[gka]

If you import csv into R there's a setting for describing the notation of missing values in that file.

data <- read.csv("data.csv", na.strings="n/a")

With that bit of information R is able to detect numerical columns even if there are those NA strings in it. It would be great to have a similar feature in miso.dataset.

[iros]

set emptyValue : 0, to use that empty value during csv parsing. Note that if the type of empty value is not null or undefined, it should match the expected type of your column, otherwise it might break detection of column type.