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Spliting rows that has values in wrong type
I had a data set of 8 millon rows in a txt file with tab delimited format without quotes.
I had 5 of the 14 columns with date values in dd.MM.yyyy format.
I am trying to import the file. In "Format your colums" step, if I choose the type of that colums as "date", it gives errors and all cells in columns turns "?"
So I selected "polynomial" and planed to convert attribute type to date later.
Problem 2 (the real one)
I imported the data and put "nominal to date" operator. When I run I got error in line 14.899:
Cannot parse date: Unparseable date: "0"
I find the line and I see that columns separated wrong. There was a tab character in a string in the a prior cell. So values moved one cell right. And this row was not the only one that moved.
I want to split the rows that has the values in wrong data type for spesified attributes. So I cant correct them manually.
How can I do that in Rapidminer?
Or any other ideas to figure theese problems out?