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I would read the csv file as a stream. It's very quick. First, I use the following function to look for specific lines. ClearAll[readLine]; readLines[stream_, search_?StringQ] := With[{stro = FindList[stream, search]}, ImportString[StringJoin[Riffle[stro, "\n"]], "Table"] /; stro =!= {}] Then I open a stream: file = "data.csv"; str = ...


Leonid provided the following demo in chat: the basic idea is to use R's read.table header management before coming back to Mathematica. file = URLSave["http://samplecsvs.s3.amazonaws.com/TechCrunchcontinentalUSA.csv"]; Needs["RLink`"] InstallR[]; RSet["testfile", file]; REvaluate["testdata <- read.table(testfile, header=TRUE)"]


This method will work with the ragged data array provided. Example 1 data = Import["henris_data_s3.csv"]; vnames = Transpose[data[[{1, 2}]]]; vnames[[99]] {"L1_INJ", "GWIR"} Above is the 'name' of the 99th record. Table[vdata[vnames[[i]]] = DeleteCases[Drop[Map[ Quiet[Check[Part[#, i], Null]] &, data], 4], Null], {i, Length[vnames]}]; ...


I don't know the answer to this question with a header of many lines and unique identifier specified by many lines. I am trying to create discussion about this in chat. Alternative solution with *ix tools Edit the original file to simpler form with instructions here so simplified datadump here and now read the simplified CSV into Mathematica where ...

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