# Subhro

## Descriptive Statistics in SAS with Examples

Descriptive Statistics is about finding “what has happened” by summarizing the data using statistical methods and analyzing the past data using queries.

## Variable conversions in SAS

Variable conversions in SAS refer to converting numeric to character variables or character to … Read more

## Generating sum of rolling data using the Lag function

Rolling Data also known as Moving average is a time-based calculation to get an insight into trends for a defined period of time.
If the time frame for the moving average is 12 months, the data that is 13 months old be dropped and the new month’s data will be added.

## Using PROC MEANS for detailed analysis of data

PROC MEANS in SAS is used to evaluate quantitative data and to create a summary report for analysis. Using PROC MEANS procedure, you can compute statistics like finding mean, standard deviation, the minimum and maximum values and a lot more statistical calculations.

## Exploring the SET Statement in SAS

A majority of DATA steps use the SET statement. The primary function of the … Read more

## SAS Numeric functions and Operators

SAS Numeric functions are used to carry out tasks such as rounding numbers, computing dates from month-day-year values, summing and averaging the values of SAS variables, and many more.

## How to learn SAS Programming online for free?

9to5sas is a comprehensive online resource featuring free content exclusively for students interested in learning SAS. You can go by the 6-week learning guide and turn yourself right into a proficient SAS programmer.

## An Introduction to SAS Macro Programming

Macros can automatically generate SAS codes and allow you to make more dynamic and generalized SAS programs. Macros can help to greatly reduce the effort required to read or write repetitive SAS codes.

## Data set Options in SAS

In SAS the data set is the most important part of analyses, and it is crucial that you know all sorts of things about the data.
SAS has a multitude of data set options which will help you to accomplish your goals while working with the datasets.
Data set options are used to modify how a data set is either read or written. There are over three dozen of these options, and while you will generally only make use of a hand full of them, you should have a good idea of their scope.

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