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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