Introduction to the ICPSR Data Archive
What are data?
Area, Topic, Question, & Your Search Terms
What to look for in a dataset
Online Analysis
Downloading a Dataset
Help pages
Seeley G. Mudd Library | Library Research
A typical "raw" data file looks like this:
01520002274100000000000000000300000000000000100000010000000021231111312
0152000215010000000000000000030000000000000100000000000000013423333332
01520001531100000000000000000500000100000000000100100000000023213311122
01520001494100000000000000000501100100000000000100100000000011231212143
01520001379100000000000000000300001000000000000000100000001014423233454
01520001532100000000000000000500100100000000000000110000000024134141212
0152000238010000000000000000030000000000000010100010000000003421 121
01520002337100000000000000000300000000000000100001000000000023234333213
01520002163000000010000000000400100000000000000100100000000034211131422
01520002119100000000000000000300000000000000101000100000000022134313415
01520002195100000000000000001400100000000000000000110000000035133323113
01520002125100000000000000001200110000000000000000000000000122212331423
01520001480100000000000000000500000000000000101100000000000011132343413
The numbers indicate study number, respondent number, and values for responses.
A codebook will provide more information about the numbers:
PROBRX1 R HAS A PROBLEM WITH HEALTH
Valid Cum
Value Label Value Frequency Percent Percent Percent
NO 1 1731 68.8 68.8 68.8
YES 2 779 30.9 30.9 99.7
REFUSAL 7 1 .0 .0 99.8
MISSING 9 6 .2 .2 100.0
------- ------- -------
Total 2517 100.0 100.0
Valid cases 2517 Missing cases 0
