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Variable Attributes [13-17]

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Creating your own format

In SAS, there are about 150 built-in formats. However, you often need to create your own custom format to suit your data.

Let’s take a look at this example:

Example

Data Survey; Input Q1 Q2 Q3 Q4; Datalines; 3 1 2 4 5 1 1 1 1 1 5 3 5 5 5 4 5 3 2 2 1 3 5 4 5 2 3 5 4 5 3 4 5 2 3 2 4 1 3 5 5 4 4 4 4 1 1 2 5 4 ; Run;

The SURVEY data set contains 4 questions: Q1, Q2, Q3, and Q4.

The four questions are taken from a customer service survey where the responses are coded as:

• 1 = Strongly Disagree
• 2 = Disagree
• 3 = Neutral
• 4 = Agree
• 5 = Strongly Agree

The variables (i.e. Q1-Q4) show only the numbers but not the coded values.

This could cause confusion when analyzing the data, as the analyst might not understand what meaning each integer represents.

Proc Format

You can use a procedure called Proc Format to create a custom format for this.

Example

Proc Format;
Value Ques 
1 = "Strongly Disagree"
2 = "Disagree"
3 = "Neutral"
4 = "Agree"
5 = "Strongly Agree";
Run;

The Proc Format above creates a custom format called QUES.

You can now apply the format (QUES.) to the variables that contain the survey questions.

Example

Data Survey2;
Set Survey;
Format Q1 Q2 Q3 Q4 Ques.;
Run;

The variables now display the values according to the QUES format that you have created. 

Important Note

When dealing with categorical data, such as

• Gender (Male or Female)
• Grade (A, B, C, D, E, F)
• Color (Red, Blue, Green) 

It is almost always better to keep the data in numeric variables with a custom format.

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Exercise

Data Profile; Length ID Gender Race $20.; Input ID Gender $ Race $; Datalines; ID001 Male Caucasian ID002 Female Asian ID003 Female Black ID004 Male Asian ID005 Male Caucasian ID006 Female Caucasian ID007 Male Black ID008 Female Black ID009 Male Caucasian ID010 Male Caucasian ; Run;

The PROFILE data set contains 3 variables:

• ID
  
• Gender 
  
• Race
  

The Gender and Race are stored under a character variable, which is not preferred in our analysis.

Create two new variables for Gender and Race that contain the Gender and Race information in numeric values. Assign a proper format to the newly created variables. 

Next

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