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Sanjay Matange
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Director, R&D

Sanjay Matange is R&D Director in the Data Visualization Division responsible for the development and support of the ODS Graphics system, including the Graph Template Language (GTL), Statistical Graphics (SG) procedures, ODS Graphics Designer and related software. Sanjay has co-authored a book on SG Procedures with SAS/PRESS.

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Series plot with varying attributes

This article is motivated by a recent question on the SAS Communities board.  This user wants to create a series or spline plot where the attributes of the line (color, thickness) can be changed based on another variable. In this case it may be a binary variable with "0" and

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
HBar with Data Labels

A common request on the communities page is to place data labels on horizontal bar charts.  Often users want to display stacked horizontal bar charts, with the values displayed for each segment and the overall value of the bar itself as shown in the example below. In this example, the

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Survival plot with a twist using SGPLOT procedure

Survival plots are automatically created by the LIFETEST procedure.  These graphs are most often customized to fit the needs of SAS users.  One way to create the customized survival plot is to save the generated data from the LIFETEST procedure, and then use the SGPLOT procedure to create your custom

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Little things go a long way

In my previous post, I described a new options to control the widths of the caps for Whiskers, Error and Limit bars.  This topic could have been titled "Little things go a long way", as such details really make for a good graph. In a similar manner, another detail issue

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Sanjay Matange 0
Spark table

In the previous post, I discussed creating a 2D grid of spark lines by Year and Claim Type.  This graph was presented in the SESUG conference held last week on SAS campus in the paper ""Methods for creating Sparklines using SAS" by Rick Andrews.  This grid of sparklines was actually the

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Sanjay Matange 0
Spark grid

The 25th annual SESUG conference was held at in the SAS campus this week.  I had the opportunity to meet and chat with many users and attend many excellent presentations.  I will write about those that stood out (graphically) in my view. One excellent presentation was on "Methods for creating

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Long category values

The South East SAS Users Group meeting wound up yesterday.  The 25th anniversary conference was held on SAS Campus and it provided a great opportunity to meet with many enthusiastic SAS users and attend many informative presentations.  More on this in a follow-up article. During one of these presentations, Mary

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Legend order redux

Once in a while you run into a pesky situation that is hard to overcome without resorting to major surgery.  Such a situation occurs when you have a stacked bar chart with a discrete legend positioned vertically on the side of the graph.  A simple example is shown below. title

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Legend items

Plot statements included in the graph definition can contribute to the legend(s).  This can happen automatically, or can be customized using the KEYLEGEND statement.  For plot statements that are classified by a group variable, all of the unique group values are displayed in the legend, along with their graphical representation

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Tips and tricks: Segmented discrete axis

The previous post on Multiple Blank Categories showed how to include multiple blank categories on the axis.  But, given the purpose for this was to separate different segments in the data, I also included ideas on how to segmented a discrete axis using reference lines or Block Plot.  A similar idea

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Tips and tricks - Multiple blank categories on axis

Off and on, users have expressed the need to include multiple blank categories on a discrete axis.  Often, this is desirable to separate groups of bars (or categories) in a graph due to some difference their definition.  Such a case was discussed in this blog article on using non breaking

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
New Features in SAS 9.40M5 - Gradient fills

ODS Graphics procedures primarily strive towards the following goal:  "Make simple graphs easy and complex graphs possible".   SGPLOT procedure allows you create simple graphs with a single plot statement, and create complex graphs by layering together or combining multiple plot statements.  Generally, the appearance follows the guidelines set by industry

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Sanjay Matange 0
New features with SAS 9.40 M5

SAS 9.4 maintenance release 5 was released on Sept 19, 2017.  This release includes many new items including integration with SAS Viya and SAS Studio, a web application for SAS development.  Also Included with this release are some cool new features in the graphics domain, some of which were requested

Analytics | Data Visualization | Learn SAS | Programming Tips
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Getting started with SGPLOT - Part 8 - Horizontal HighLow Plot

On a recent visit to an In-House Users Group meeting at a Pharmaceutical company, I presented a 1/2 day seminar on creating Clinical Graphs using SG Procedures.  Polling the audience for their experience with these procedures indicated that many SAS users are not familiar with these new ways to create graphs. So,

Data Visualization
Sanjay Matange 0
Stock chart

In the previous article on Getting Started with Vertical HighLow Plot, I described how we can use the HighLow plot to display the stock price by date.  The HighLow plot is specifically designed for such use cases as shown below. The data is downloaded from the Nasdaq web site, and

Data Visualization
Sanjay Matange 0
Lollipop Charts

Recently, while reading up on Wilkinson and Cleveland Dot plots, I saw this excellent article by Xan Gregg on the topic.  I also saw some interesting examples of Lollipop Charts, kind of a dot plot with statistics along with a drop line, maybe more suitable for sparse data.  I thought

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