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# Quick Data Summaries in SAS - PowerPoint PPT Presentation

Quick Data Summaries in SAS. Start by bringing in data Use permanent data set for these examples Proc Summary Produces summaries relatively easily Designed to produce a table of output that can be manipulated further ***This is a critical difference from tabulate***

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• Start by bringing in data

• Use permanent data set for these examples

• Proc Summary

• Produces summaries relatively easily

• Designed to produce a table of output that can be manipulated further ***This is a critical difference from tabulate***

• Need to pre-sort data by any “by” groups

• Need to print out results

• Basic Summary Syntax:

Proc sort;

By var1 var2;

Run;

Proc summary;

By var1 var2;

Var variable3;

Output out=new_table mean=mean_name n=n_name….;

Run;

Proc print;

Run;

• Mean, n, standard deviation, standard deviation, variance, coefficient of variation, sum

• Minimum, maximum, range, number of missing observations, median

• Whenever you use proc summary, it adds two new variables: _type_ and _freq_ (note underscores at beginning and end of variable names

• _freq_ indicates the number of observations

• _type_ indicates whether the output is a matrix or not

• You can ignore these variables in virtually all cases

• You need to remember what is the “active” dataset, or specify the dataset that summary will operate on

• The active dataset is the most recently used dataset by default

H= -∑ pi ln(pi)