r - How do i prepare my data for future statistical programs? -
i designing survey system (where survey has many questions, question has many answers, , response belongs_to user, survey, question , answer).
i have lot of demographic data in user model , expect 100's of thousands of responses various questions, etc.
eventually want analyze responses, example. 80% of males bananas, 20% of females own ford , whatnot.
i looking statistical languages r,sas , spss, , wondering if data need structured in specific way in order used these programs? or accept csv files?
is there advice have in terms of statistical data, , structuring data models it?
finally, how sas, spss , stata cost?
csv files more enough. r powerful manage data arranged in rows , columns.
for example: can arrange columns of csv variables/responses headers , rows data or vice-versa.
it doesn't matter long arranged in rows , columns. comma, space de-limited columns in csv files can handled. not specific, can have delimiter , r has powerful regular expression matching.
only suggestion should make different csv files different data-sets make things easier , imported data-frame csv file easily.
once done, free unleash power of r
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