![]() P ROC FORMAT can be used for creating efficient Data merges.I) 24 – 45: It includes values from 24 to 45 including 24 and 45.įormat Salesamount Salegrp. Special keywords used to define the ranges are:-Ī) Ranges can be multiple values separated by commas.ī) Ranges can include or exclude the bounding values, depending on the use of various keywords like: They can be used for both – character and numeric values. Problem 3: Want to display the frequency of Salesamount in three categories “=12000”Ībove, I have used ranges to define the format. Define the category A, B, C, D and E as Ultra, Super, Average, Low and Poor. In a similar way, we can solve it for the problem 2. Problem 1 (& 2): Display M and F as Male and Female. Let’s solve the above discussed problems using PROC Format: Should not end with a period in the VALUE statement.Cannot be the name of an existing SAS format.For numeric values, name must have a letter or underscore as the first character For character values, first character must be a dollar sign ($), and a letter or underscore as the second character.The user defined FORMAT mapping is independent of a SAS DATASET and variables and must be explicitly assigned in a subsequent DATASTEP and/or PROC. PROC FORMAT is a procedure that creates a mapping of data values into data labels. Whereas, if we only want to only change the display (and not the values in the data set), then creating user defined format using PROC FORMAT is a more efficient way to make these changes. These all things can be done with Data step (or PROC SQL) with If-Else statement (or switch case), but it will require a new variable that will store these formatted values. Display the frequency of Salesamount in three categories “=12000”.Re-define categories A, B, C, D and E as Ultra, Super, Average, Low and Poor.Display “MALE” and “FEMALE” instead of “M” and “F”.But there can be many occasions when SAS built-in formats do not suffice our needs. Till now we have seen, how to change the format of numbers and Dates with in built SAS formats. List of predefined date formats available to change the output format of variables: Example 3: Display Salesamount in Dollar with two decimal position with comma and DOJ in Weekdate format.įormat Salesamount Dollar12.2 DOJ WEEKDATE. Here is the list of predefined date formats available to change the output format of variables:Įxample 2: Display the Salesamount in Dollars with one decimal position Let’s do some exercises with format statement: Example 1: Display DOJ in DDMMYYYY format: Let’s first look at the syntac of the FORMAT statement:- Syntax :- FORMAT Variable(s) Format Here DOJ is in numeric format, as SAS defines by default, starting from 0. We will use this dataset in examples and discussion in this article. Built In SAS Formatsīelow is a sample data containing agent performance details. Next, we look at various applications and examples of these concepts. ![]() The article is divided in 2 broad parts: First we understand the pre-defined formats & user defined formats in SAS. This is a long article compared to what I usually write, so feel free to digest this in bits and pieces. Another common example is to display area codes in 10 digit telephone numbers (e.g. For example, we may have coded Male and Female as M and F (or 0 and 1), but while printing we would want to display the field as MALE and FEMALE only. Changing format of output does not change the way, the data gets stored at the back end.īy default, SAS provides various built in formats to deal with various formats, but they are not sufficient to meet custom requirements your data might have. It should be noted that these changes are only applied while displaying the results. In this article, we will particularly discuss about methods to play with format of data values. In SAS, there are various options to enhance the reporting layouts. Not so surprisingly, both Kunal and I receive a fair number of queries on this topic. So, when I started using SAS, I faced a few challenges in changing formats of numbers and characters, especially when dates were involved. I am very particular about the formatting and presentation of reports. ![]() I have spent a significant part of my career as a data visualization guy.
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