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fengyuwuzu
Pyrite | Level 9

Hello, I have another problem when importing my CSV file into SAS

There is a variable "State", and most of the values are like PA, NJ, NY, etc, but there a few cases they are using "New York", "New Jersey" etc. I can see these im excel. But when I imported into SAS, they were truncated as "Ne".

 

I can edit the CSV file before importing. But I wonder if there is a way to handle this more efficiently so I do not need to eidt the CSV in Excel manually? The fils is pretty charge (more than 1 million cases), so I hope I can find a better way.

 

Thank you in advance!

5 REPLIES 5
mohamed_zaki
Barite | Level 11

One option: you can increase the scaned rows from the input file to determine the appropriate data type and length of columns. By adding the option guessingrows = 32767 (maximum for Base SAS 9.2 ) or more till 2147483647 (maximum for Base SAS 9.3 and later)

For example:

 

PROC IMPORT DATAFILE=REFFILE
	DBMS=CSV
	OUT=WORK.IMPORT
	guessingrows=32767;
RUN;

 

fengyuwuzu
Pyrite | Level 9
Thank you. I am using 9.4, so I can use the larger number. Hope this will work. Will try tomorrow when I back to work.
mohamed_zaki
Barite | Level 11

You should be consider that this option come with performance penalty for the scanning, even if it is easier. The best way is to run PROC IMPORT on your data set then copy the generated DATA step from the log and increase your column length which is truncated, then run this DATA step after your modifications. This could be the best solution as it is work environment and your dataset tend to be big one.

Reeza
Super User
Second option is to read your file via a data step rather than use proc import. This way you can specify the length/format. If your file is CSV then you can check the log for the code, copy and paste that and modify as necessary.
fengyuwuzu
Pyrite | Level 9
Thank you. I can give it a try.

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