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
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to load multiple CSV files into memory as a single table using the loadTable action. Load and prepare data on the CAS server To start, we need to create multiple
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to update rows in a distributed CAS table. Load and prepare data in the CAS server I created a script to load and prepare data in the CAS server. This
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss saving CAS tables to a caslib's data source as a file. This is similar to saving pandas DataFrames using to_ methods. Load and preview the CAS table First, I imported the
In part 1 of this series, we examined our data before building any models. Among the discoveries was a column that seemed to contain a SAS date value. Here, we will discuss what exactly is meant by a 'SAS date', how to format it correctly, and how to create a
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to execute SQL with the Python SWAT package in the distributed CAS server. Prepare and load data to the CAS server I created a Python function named createDemoData to prepare
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to count missing values in a CAS table using the Python SWAT package. Load and prepare data First, I connect my Python client to the distributed CAS server and named
Welcome to my series on getting started with Python integration to SAS Viya for predictive modeling. Exploring Data - Learn how to explore the data before fitting a model Working with Dates - Learn how to format a SAS Date and calculate a new column Imputing Missing Values - Learn
Welcome to the first post in my series Getting Started with Python Integration to SAS Viya for Predictive Modeling. I'm going to dive right into the content assuming you have minimal knowledge on SAS Cloud Analytic Services (CAS), CAS Actions and Python. For some background on these subjects, refer to
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to bring a distributed CAS table back to your Python client as a DataFrame. In this example, I'm using Python on my laptop (Python client) to connect to the
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how your data is organized on the CAS server. In this post I'll discuss loading client-side CSV files into
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, working with CAS actions and CASResults objects, and how to summarize columns. Now it's time to focus on how to get the count of unique values
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.
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to summarize columns. Now it's time to focus on how to rename columns in CAS tables. Load and explore data
Group and aggregate CAS tables Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to summarize columns. Now it's time to focus on how to group and aggregate CAS
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to filter CAS tables. Now it's time to focus on how to summarize columns. Load and explore data Let's first load
SAS' Kevin Russell compares how you order your data with a BY statement in SAS 9.4 versus in CAS using the ADDROWID data set option in SAS Viya.
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to filter CAS tables. Now it's time to focus on creating calculated columns on a CAS table. Load and explore
Wouldn’t it be cool if we establish a mechanism that provides more data scientists easy access to SAS Reinforcement Learning capabilities, from a centralized location and using a standardized approach?
Welcome to the seventh installment in my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to work with the results. Now it's time to learn how to filter CAS tables. Load and explore data
SAS' Jordan Leiker shows you how any CAS action can be used with image data to create heat maps.
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. This post builds upon CAS-Action! Create Columns in CAS Tables - Part 1 by showing how to add formats and modify the length of computed columns. I'll start by building off the following code where I
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts. If you'd like to start by learning a little more about what CAS Actions are, please see CAS Actions and Action Sets - a brief intro. Or if you'd
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts. If you'd like to start by learning a little more about what CAS Actions are, please see CAS Actions and Action Sets - a brief intro. Or if you'd
Welcome to the sixth installment in my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to work with the results. Now it's time to generate simple descriptive statistics of a CAS table. Let's begin
