{"id":12229,"date":"2018-03-30T05:58:31","date_gmt":"2018-03-30T05:58:31","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=12229"},"modified":"2021-05-09T13:16:27","modified_gmt":"2021-05-09T07:46:27","slug":"sas-frequency-distribution","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/sas-frequency-distribution\/","title":{"rendered":"SAS Frequency Distribution Using SAS PROC FREQ"},"content":{"rendered":"

Today we will be looking at one of the most frequently used statistical procedure in SAS Programming<\/strong>, that is SAS Frequency Distribution. We will see how to create a frequency distribution table in SAS and a variety of options that can be applied while creating a table to get better results.<\/p>\n

So, let’s start SAS Frequency Distribution using SAS PROC FREQ.<\/p>\n

SAS Frequency Distribution<\/h2>\n

For continuous variables, descriptive statistics like mean and standard deviation can be used to summarize the data. But for categorical variables, these measures are not appropriate.<\/p>\n

Categorical variables can be summarized using a\u00a0frequency table<\/em>, which shows the number and percentage of cases observed for each category of a variable.<\/p>\n

A categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no ordering to the categories. For example, gender is a categorical variable having two categories (male and female) and there is no ordering to the categories.<\/p>\n

Hair color is also a categorical variable having a number of categories (blonde, brown, brunette, red, etc.) and again, there is no agreed way to order these from highest to lowest. A purely categorical variable is one that simply allows you to assign categories but you cannot clearly order the variables.<\/p>\n

SAS frequency distribution table looks like the one shown below-<\/p>\n

\"SAS<\/a>

Example SAS Frequency Distribution<\/p><\/div>\n

SAS PROC FREQ Procedure<\/h2>\n

The SAS PROC FREQ procedure prints all values of a given categorical variable in the Output window, along with the number and percentage of times each value appears. The FREQ procedure can work with both string<\/strong> (character) or numeric<\/strong> categorical variables<\/strong>.<\/p>\n

The\u00a0syntax\u00a0of SAS<\/strong> PROC FREQ statement is:<\/p>\n

PROC FREQ DATA = Dataset ;\r\nTABLES Variable1 ;\r\nBY Variable2 ;<\/pre>\n
The PROC FREQ statement is the only required statement for the FREQ procedure.<\/p>\n
A basic frequency table created with PROC FREQ will have the following properties:<\/p>\n