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Learn how to create measures with different levels of aggregation through selective filtering in SAS Visual Analytics. This post illustrates selective filtering through a "Customer Penetration" example.
Visualization of data density estimation, which is often used in statistical analysis and machine learning, will show the data’s characteristics like distribution, skewness and modality, etc. Commonly-used data density visualizations include boxplot, histogram, kernel density estimates, and some other plots. This blog post visualizes the kernel density estimates superimposing on histogram using SAS Visual Analytics.
In SAS Viya 3.4, promotion support has been added for many additional SAS 9.4 resources, making it easier to make the leap to Viya. In this blog, SAS' Gerry Nelson reviews this new functionality.
In SAS Visual Analytics 8.3, a Data View is a reusable and shareable template for a data source. That means that the data view is tied to the data source, and not to the report. Here's how to use them.
Introduced with Visual Analytics 8.2 is a new object named: Key Value. The intent of this object is call attention to an aggregated value for a measure, a category, or both. In this post you'll learn more about working with the Key Value Object in SAS Visual Analytics.
In SAS Visual Analytics 8.2 on Viya 3.3, there are a number of new data features available. I’ll cover a few of these new features including the new data plan and data item features in SAS Visual Analytics in this blog.
Often, in addition to content, an administrator will want to save configuration so that it can be reloaded or updated and applied to a different system. You have the ability to save and reload SAS Viya configuration using command-line interfaces. Learn more in this post.
SAS Visual Analytics takes advantage of the performance and scalability of the SAS Viya platform, providing a BI framework that can work with massive amounts of data, bringing forward the powerful analytics that has made SAS the market leader in this space. Learn more about SAS Visual Analytics on the new SAS platform.
You will not find an object in SAS Visual Analytics named Dynamic Text. Instead, you will find a Text object that allows you to insert dynamically driven data items. By using the Text object’s dynamic capabilities you can build custom report titles, object titles, emphasize measures and even supply the last modified time of the data source in your SAS Visual Analytics Report. In this post, I will outline the ways how you can leverage Dynamic Text in a SAS Visual Analytics Report.
SAS Visual Analytics filters in 7.4 and 8.2 enable you to improve the appearance of reports based on calculations that use periodic operators. Parameter settings also enable you to provide users with a prompt for choosing the data to display in a report, without having any effect on the calculations themselves.
