Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll show how to create user defined functions (UDFs) for the distributed CAS server using the SWAT package. Once the UDF is created you can use it on the CAS server with programming
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll show how to impute missing values in a distributed CAS table using the fillna method from the Pandas API in the SWAT package and the impute CAS action. Load and prepare data
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to remove duplicate rows from a distributed CAS table using the both the Pandas API in the SWAT package and the native CAS action. The Pandas API drop_duplicates method was
SASPy and the SAS kernel for Jupyter Notebook enable you to connect to SAS® 9.4 and the SAS® Viya® compute server from your client machine. You can then interact with SAS and SAS Viya via Python. If you are not familiar with SASPy and the SAS kernel, this article provides an introduction.
[Editor's note: this post was co-authored by Marinela Profi and Wilbram Hazejager] Data science teams are multidisciplinary, each with different skills and technologies of choice. Some of them use SAS, others may have analytical assets already built in Python or R. Let's just say each team is unique. As part
"I was very impressed by how epidemiologists, analytical experts, architects, programmers and others were working together."
A previous article provides an introduction and overview of the iml action, which is available in SAS Viya 3.5. The article compares the iml action to PROC IML and states that most PROC IML programs can be modified to run in the iml action. This article takes a closer look
Deep learning is an area of machine learning that has become ubiquitous with artificial intelligence. The complex, brain-like structure of deep learning models is used to find intricate patterns in large volumes of data. These models have heavily improved the performance of general supervised models, time series, speech recognition, object
Whether you like it or not, Microsoft Excel is still a big hit in the data analysis world. From small to big customers, we still see fit for daily routines such as filtering, generating plots, calculating items on ad-hoc analysis or even running statistical models. Whenever I talk to customers,
This blog is a part of a series on the Data Science Pilot Action Set. In this blog we review all nine actions in Python. Have you noticed the button bar in the upper right-hand corner of the SAS Visual Data Mining and Machine Learning Programming Guide? This button bar
Generating a word cloud (also known as a tag cloud) is a good way to mine internet text. Word (or tag) clouds visually represent the occurrence of keywords found in internet data such as Twitter feeds.
Editor's Note: This article was translated and edited by SAS USA and was originally written by Makoto Unemi. The original text is here. SAS previously provided SAS Scripting Wrapper for Analytics Transfer (SWAT), a package for using SAS Viya functions from various general-purpose programming languages such as Python. In addition
A simple example of how you can combine SAS and open-source technologies to solve real business issues.
Two sayings I’ve heard countless times throughout my life are “Work smarter, not harder,” and “Use the best tool for the job.” If you need to drive a nail, you pick up a hammer, not a wrench or a screwdriver. In the programming world, this could mean using an existing
As of December 2018, any customer with a valid SAS Viya order is able to package and deploy their SAS Viya software in Docker containers. SAS has provided a fully documented and supported project (or “recipe”) for easily building these containers. So how can you start? You can simply stop
You can communicate with various clients (SAS, Python, Lua, Java, and REST) in the same place using SAS® Cloud Base Analytics Services (CAS) in SAS Viya. But before you can do any analysis in CAS you need some data to work with, and a way to get to it. Check out this dynamic data selection tip using SAS Viya and Python.
One of the big benefits of SAS Viya is how approachable it is for programmers of other languages. You don't have to learn SAS in order to become productive quickly. We've seen a lot of interest from people who code in Python, maybe because that language has become known for
Thanks to a new open source project from SAS, Python coders can now bring the power of SAS into their Python scripts. The project is SASPy, and it's available on the SAS Software GitHub. It works with SAS 9.4 and higher, and requires Python 3.x. I spoke with Jared Dean
The study of social networks has gained importance over the years within social and behavioral research on HIV and AIDS. Social network research can show routes of potential viral transfer, and be used to understand the influence of peer norms and practices on the risk behaviors of individuals. This example analyzes the
Transitioning from SAS9 to SAS Viya can be uncertain for SAS programmers. Whether your organization is making the move and you’re curious about your current SAS analytical workflows, or you're contemplating moving to SAS Viya and concerned about its impact on your SAS expertise and programs. The hesitation is understandable.
You most likely have used a Portable Document Format (PDF) file in one form or another. Now, what if you have a PDF file and want to extract the text from the file? What if the PDF file contains input fields that a user fills in and you want to
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. In this post, I'll show how to create user defined functions (UDFs) for the distributed CAS server using SAS and CASL code. Once the UDF is created, you can use it on the CAS server with programming
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. The previous posts show how to use the simple.freq CAS action to generate, save and group simple frequency tables. In this post I will show you how to use the freqTab.freqTab CAS action to generate more advanced
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. In my previous part 1 and part 2 posts I reviewed how to use the simple.freq CAS action to generate frequency distributions for one or more columns and how to save the results. In this post I
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. In my previous post CAS-Action! Simple Frequency Tables - Part 1, I reviewed how to use the simple.freq CAS action to generate frequency distributions for one or more columns using the distributed CAS server. In this post
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. If you'd like to start by learning more about the distributed CAS server and CAS actions, please see CAS Actions and Action Sets - a brief intro. Otherwise, let's learn how to generate frequency distributions for one
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. If you'd like to start by learning more about the distributed CAS server and CAS actions, please see CAS Actions and Action Sets - a brief intro. Otherwise, let's learn how to rename columns in CAS tables.
SAS® pairs perfectly with data and AI and our audience at SAS Innovate agrees. SAS Innovate host and technical training consultant Dominique Weatherspoon welcomed attendees at the Aria in Las Vegas. Chief Technology Officer Bryan Harris dove into a few important topics including innovation inspired by human need, how SAS sees
In a world where technology is a cornerstone of society, opportunities in the tech sector should be within reach for all. Yet, for many people, education, resources and access barriers stand in the way. According to research by McKinsey, Black people make up 12 percent of the US workforce but only
In my blog series regarding SAS REST APIs (you can read all of my posts on this topic here) I outlined how to integrate SAS analytical capabilities into applications. I detailed how to construct REST calls, build body parameters and interpret the responses. I've not yet covered authentication for the
