SAS: Importing .txt .cvs and .xlsx files

SAS is a data based system. It is not much use if you can’t get data into it. In the following exercises, I will show you how to import common data files.

You can download some practice data files here: examplefiles

This is a zip file. Unzip the folder and copy the contents (three files) into a place of your choosing. Now open up SAS Studio:

Select MyFolders on the left pain and select the upload files icon

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Now select Choose Files

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Your files should now be located under My Folders

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Import Txt

If you double click on mileage.txt in the left panel, a preview of the data will pop up.

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Now to import this information into SAS, we use the following code.

DATA mileage;
INFILE '/folders/myfolders/mileage.txt';
INPUT year miles;
RUN;

DATA – names your data set

INFILE choose data source

INPUT – names variables(columns)

Now click the Run icon

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Now check your results, you data is loaded.

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A quick note, SAS chooses a single space as the default delimiter. If your file has a different delimiter like comma.

INFILE '/folders/myfolders/mileage.txt' DLM=",";

tab delimited
INFILE '/folders/myfolders/mileage.txt' DLM= '09'x

Import CSV

Now lets import our CSV file

DATA salaryHosp;
INFILE "/folders/myfolders/salaryHosp.csv" DSD Firstobs=2;
INPUT job$ years salary;
RUN;

DSD helps to deal with missing values

Firstobs = 2 lets SAS know to start collecting data on the second row – since the first row in our CSV file is headers.

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Import Excel

Importing Excel is pretty straight forward. Use the following code and SAS will take headers from the Excel file to name your variables.

proc import out=sensors DATAFILE="/folders/myfolders/sensors.xlsx" 
                   DBMS=XLSx;
RUN;

the results

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