Graph a Million With the SGPLOT Procedure - Prashant Hebbar, SAS

In today’s world of torrential data, plotting large amounts of data has its own challenges. The SGPLOT procedure in SAS Output Delivery System (ODS) Graphics offers a simple yet powerful tool for your graphing needs. In this paper we present some graphs that work better for large data sets. We create heat maps, box plots, and parallel coordinate plots that visualize large data.

You can make your graphs resilient to your growing data with ODS Graphics!

Click here to download the companion paper.

Decorative Infographs Using SAS - Prashant Hebbar, SAS

The SAS® 9.4 SGPLOT procedure is a great tool for creating all types of graphs, from business graphs to complex clinical graphs. The goal for such graphs is to convey the data in a simple and direct manner with minimal distractions. But often, you need to grab the attention of a reader in the midst of a sea of data and graphs. For such cases, you need a visual that can stand out above the rest of the noise. Such visuals insert a decorative flavor into the graph to attract the eye of the reader and to encourage them to spend more time studying the visual. This presentation discusses how you can create such attention-grabbing visuals using the SGPLOT procedure.

Click here to download the companion paper.

About the Presenter

Prashant Hebbar is a Principal Software Developer in Data Visualization at SAS. He began his career at SAS in 1997. His areas of expertise are the Graph Template Language (GTL), the ODS Graphics Designer and image formats.