If you spend any time working with maps and spatial data, having a fundamental understanding of coordinate systems and map projections becomes necessary. It’s the foundation of how spatial data and maps work. These areas invariably evoke trepidation and some angst, even in the most seasoned map professional. And rightfully
Tag: SAS R&D
The catch phrase “everything happens somewhere” is increasingly common these days. That “somewhere” translates into a location on the Earth; a latitude and longitude. When one of these “somewhere’s” is combined with many other “somewhere’s”, you quickly have a robust spatial data set that becomes actionable with the right analytic
Recently, you may have heard about the release of the new SAS Analytics Cloud. The platform allows fast access to data-science applications in the cloud! Running on the SAS Cloud and using the latest container technology, Analytics Cloud eliminates the need to install, update, or maintain software or related infrastructure.
SAS Visual Analytics supports region maps for Country, US states, and provinces out-of-the-box. These work well for small scale maps covering the world, a continent, or a single country. However, other regions are often needed. Beginning in version 8.3, VA supports custom polygons to display regions such as sales territories,
In this post, we continue our discussion of geography variables, the foundation of Visual Analytics Geo maps. This time we will look at Custom Coordinates. As with any statistical graph, understanding your data is key. But when using Custom Coordinates for geographic maps, this understanding becomes even more important. Use
Creating a map with SAS Visual Analytics begins with the geographic variable. This blog post explains the first type of geography variable that VA supports: predefined. Future posts will cover the other two types of geography variables in VA: custom coordinates and custom polygons.
SAS Visual Text Analytics provides dictionary-based and non-domain-specific tokenization functionality for Chinese documents, however sometimes you still want to get N-gram tokens. This can be especially helpful when the documents are domain-specific and most of the tokens are not included into the SAS-provided Chinese dictionary. What is an N-gram? An
Gradient boosting is one of the most widely used machine learning models in practice. See how to use gradient boosting model for classification in SAS Visual Data Mining and Machine Learning.
Report data shared by educational institutions, government agencies, healthcare organizations, and human resource departments can contain sensitive or confidential data. Data in such reports are suppressed selectively to protect the identities of individuals or to prevent the report’s audience from easily inferring individual values. The Data Suppression feature in SAS