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Now, what about playing with the variables of the data? Say we want to view a specific column only, assuming observations from row 15 to 20 of the Benguet variable, how is that? Well, I humbly present to you the following code,įor viewing multiple columns, simply enumerate the name of the variables using either keep - keeps the variables to be returned, or drop - drops the variables, excluded in the printing. If you want to start and end on specific row, you can do the following.

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Having that habit, here's how to do it in SAS®, in this case, first five observations,

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In R, we always start by viewing the head of the data or the first few observations of the data, and we code it as head(data). Now that we have the data in our workspace, let's do some transformation on it. To do this, hover to the sidebar, click on Folders tab, and there you will find the 'up arrow' for upload. Working in SAS® Studio, requires you to upload your data into it.

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To reproduce this article, please click here to download the data. We'll use again the Volume of Palay Production (1994 to 2013 quarterly) from Cordillera Administrative Region (CAR) Philippines. Our goal here is to address the basics in order to proceed with the analysis, and thus we have the following:ġ.

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So let's welcome this software by doing analysis on it. If you've been following this blog, I have been promoting free software (R, Python, and C/C++) for analysis, and the introduction of SAS® University Edition will only mean one thing, a new topic to discuss on succeeding posts.

SAS/ACCESS® - Seamlessly connect with your data, no matter where it resides.įor more about SAS® University Edition please refer to the fact sheet.

SAS Studio - Reduce your programming time with autocomplete for hundreds of SAS® statements and procedures, as well as built-in syntax help.

SAS/IML® - Use this matrix programming language for more specialized analyses and data exploration.

SAS/STAT® - Trust SAS® proven reliability with a wide variety of statistical methods and techniques.

Base SAS® - Make programming fast and easy with the SAS® programming language, ODS graphics and reporting procedure.

Educators can upload an additional 3GB of course data to share with students.The software includes the following libraries:

The SAS Cloud, where everyone can upload up to 5GB of data for easy access.

An online community where you can interact with peers, get support, access SAS resources, etc.

Two free e-learning courses – Programming 1 and Statistics 1.

Free teaching and curriculum development materials – everything you need to teach a course using SAS.

We'll send you an email with instructions you can share with your students for registering and accessing the software.

To get started with all other SAS OnDemand for Academics offerings, register your course.

It's that easy the software isn't gated, so they can start using it right away.

To get started with SAS OnDemand for Academics: Studio, just send the link to your students.

SAS ® OnDemand for Academics: Forecast Server SAS ® OnDemand for Academics: Enterprise Miner ™ SAS ® OnDemand for Academics: Studio or SAS ® OnDemand for Academics: Enterprise Guide SAS ® OnDemand for Academics: Enterprise Guide ® Teach SAS with a point-and-click Windows interface

Choosing the Right Software If you want to: Get software and resources for developing students' analytical knowledge.

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