Displaying Multiple Graphs to Quickly Assess Patient Data Trends

Size: px
Start display at page:

Download "Displaying Multiple Graphs to Quickly Assess Patient Data Trends"

Transcription

1 Paper AD11 Displaying Multiple Graphs to Quickly Assess Patient Data Trends Hui Ping Chen and Eugene Johnson, Eli Lilly and Company, Indianapolis, IN ABSTRACT Populating multiple graphs, up to 15, on a single page allows a Data Manager to easily track data trends by patient. The slope and planer qualities of the line allow for a significant increase in the efficiency of trend analysis. This can be accomplished by using GREPLAY, however, there is another option; by using Data Step Graphics Interface (DSGI) it is much easier to combine more than 10 graphs onto a single page. If there are 300 patients weight changes across 8 visits under screening, it will be very efficient for Data Managers to monitor the trends of 15 patients concurrently. INTRODUCTION Clinical trials present a Data manager with a daunting amount of tasks to coordinate and data permutations to keep track of. One very significant and time consuming task is the monitoring of data trends. This task can be accomplished in many ways, all of which can dominate a Data Managers valuable time, including the scanning of line listings, the derivation of value delta from collection point to collection point and the subsequent scanning of those derivations. Most trends will resolve as expected, with minor, and insignificant, changes from baseline. But it is those data whose trends present a significant change from baseline, either within patient or across an investigative site or country, that provide the impetus to carry out the periodic analysis of data trends. Any process that could significantly reduce the amount of time a Data Manager spends on these analyses without compromising the quality of the monitoring would be of tremendous value. TREND GRAPHS The purpose of a trend analysis is to determine if the data are heading in a certain direction, or if there are anomalies in the data progression. Trend data are, by nature, easier to analyze using graphical representations specifically a line graph. The slope of a line, when large enough, can be easily and immediately discerned. When an observation of a trend line reveals inconsistencies or high absolute value slopes [ m = (y 2 y 1 )/(x 2 x 1 )] we can make an inference that will lead to further and more detailed observation of that specific patients data. The advantage gained is that a Data Manager does not need to examine each point in detail for each patient in order to achieve the aim of identifying anomalous trends. Trends that are expected or unremarkable can be easily and instantly weeded out. The compilation of multiple graphs per sheet can further enhance time conservation. In a dataset that contains a majority of expected trends unexpected trends will leap out when viewed beside the expected. Graphs already provide a compact way of viewing a large amount of data, by viewing multiple graphs simultaneously one can scan, potentially, hundreds of lines of data in a few seconds, and come away with an understanding of what is going on in the data. DSGI enables us to easily place multiple graphs on one page. COMBINE MUTIPLE GRAPHS IN ONE SINGLE PAGE PROC GREPLAY might be the first option when contemplating the display of multiple graphs in one single page. You need to define 4 sets of coordinate (corresponding to 4 corners) for one single graph, use PROC GSLIDE to create TITLE or FOOTNOTE, and use Annotate facility to annotate

2 identification information for each patient, such as Patient ID and Investigator ID. Therefore, in order to combine 15 graphs created by a previous procedure, such as GPLOT, onto one single page, you would need to define 60 sets of coordinate (15 graphs * 4 corners.) If those graphs are external image files, you would use Annotate facility instead of GREPLAY in order to import them into SAS for display, since Annotate facility allows you to import external image files but not display existing graphs created by previous procedures. Here is an example of using Annotate facility to import an external image file into SAS. DATA ANNO; LENGTH FUNCTION $5.; RETAIN XSYS '3' YSYS '3'; X = 0; Y = 0; FUNCTION = 'MOVE'; X = 100; Y = 100; IMGPATH = 'external-image-file'; STYLE = 'FIT'; FUNCTION = 'IMAGE'; PROC GSLIDE ANNOTATE = ANNO; QUIT; As with Annotate facility, you need to define coordinates for the location of your graph, with DSGI you only need 2 sets of coordinates, left lower corner and right upper corner, to import an external image file into SAS. Further, DSGI will also allow you to insert an existing graph at the same time. The insert function is the same as TREPLAY in GREPLAY. It is easy for you to use TITLE or FOOTNOTE statements to create common Titles or Footnotes, or export graphs with FILENAME = statement and GOPTION function, GSFNAME =. As for importing external image files into SAS, there is almost no difference between using either Annotate facility or DSGI. However, if the external files are not in BMP or JPEG formats, but in CGM (Computer Graphic Metafile) formats, you,unfortunately, cannot simply import those files by using Annotate facility, since CGM format does not support image files. Therefore, if you want to combine an external file in CGM format with an external image file in BMP or JPEG format, DSGI is the best choice. Here is an example of combining graphs of different formats onto one single page. FILENAME GRAPH 'external-cgm-file'; PROC GIMPORT FILEREF = GRAPH FILETYPE = CGM FORMAT = BINARY; DATA _NULL_; RC = GINIT(); RC = GRAPH('CLEAR');

3 RC = GDRAW('IMAGE', "external-bmp-file1", 50, 0, 100, 50, 'FIT'); RC = GDRAW('IMAGE', "external-bmp-file2", 0, 50, 50, 100, 'FIT'); RC = GSET('VIEWPORT', 1, 0, 0,.5,.5); RC = GSET('WINDOW', 1, 0, 0, 100, 100); RC = GSET('TRANSNO', 1); RC = GRAPH('INSERT', 'CGM'); RC = GSET('VIEWPORT', 2,.5,.5, 1, 1); RC = GSET('WINDOW', 2, 0, 0, 100, 100); RC = GSET('TRANSNO', 2); RC = GRAPH('INSERT', 'CGM1'); RC = GRAPH('UPDATE'); RC = GTERM(); QUIT; GIMPORT allows you to import an external file in CGM format into SAS and by default saves it in GSEG folder in WORK library with sequential file names, CGM, CGM1, CGM2 etc. Before you insert this CGM file by using DSGI, you need to define the range to display it. That is, to define where you want to insert this CGM file. You can also combine this file with other external image files or existing graphs onto one single page within DSGI. If there are 300 patients in one study and you want to monitor the trends of weight for each single patient across several visits, the most efficient way is to monitor 15 or 20 patient graphs one time. You can roughly select patients with abnormal weight trends from one single graph first, and only focus on those patients weights across visits in the next step. To plot the trends of weight you can simply use PROC GPLOT, and either output those graphs in graphic format (BMP or JPEG) or use NAME = option in PLOT statement for the purpose of combination later. Suppose 15 patients weight trends will be shown on one page for 300 patients, you need to generate 20 pages of graphs for monitoring. Therefore, it is clear that defining 2 sets of coordinates per patient ( 300 patients = 600 sets of coordinates) is absolutely more efficient than defining 4 sets of coordinates (300 patients = 1200 sets). Here is an example of using DSGI to automatically generate 2 sets of coordinate based on the number of patients data in one row and one column. %MACRO COORDINATES (ROW =, COL = ); DATA _NULL_; RC = GINIT(); RC = GRAPH('CLEAR'); %DO I=1 %TO &COL; %DO J=1 %TO &ROW; RC = GDRAW('IMAGE', "external-bmp-file", %EVAL((&I-1)*100/&COL), %EVAL((&J-1)*100/&ROW), %EVAL(&I*100/&COL), %EVAL(&J*100/&ROW), 'FIT'); %END;

4 %END; RC = GRAPH('UPDATE'); RC = GTERM(); %MEND OORDINATES; %COORDINATES (ROW = 3, COL = 4); Here is an alternative option by using Annotate facility. %MACRO COORDINATES (ROW =, COL = ); DATA ANNO; LENGTH FUNCTION $5.; RETAIN XSYS '3' YSYS '3'; %DO I = 1 %TO &COL; %DO J = 1 %TO &ROW; X = %EVAL((&I-1)*100/&COL+2); Y = %EVAL((&J-1)*100/&ROW+2); FUNCTION = 'MOVE'; X = %EVAL(&I*100/&COL-6); Y = %EVAL(&J*100/&ROW-6); IMGPATH = "external-bmp-file"; STYLE = 'FIT'; FUNCTION = 'IMAGE'; %END; %END; PROC GSLIDE ANNOTATE = ANNO; %MEND COORDINATES; %COORDINATES (ROW = 3, COL = 4); QUIT;

5 The data below are simulated only for the purposes of generating graphs with title, Weight (Kg) Trend

6 Across Visits Per Patient, shown above. Patient INV Visit2 Visit3 Visit4 Visit5 Visit6 Visit7 Visit8 Visit9 Visit CONCLUSION Using DSGI to compile multiple graphs of trend data, allows a Data Manager to increase the efficiency of comprehensive data review and trend analysis in particular, while allowing the programmer to develop the code with optimum efficiency. This method is easy to implement and can be expanded to encompass multiple data measures, such as height cross-referenced with weight. The ability to utilize existing graphs can further cut the development to implementation time of for this process. Further development can include the drill-down capabilities of DSGI in order to investigate anomalous readings instantly. REFERENCES SAS Institute (1999), SAS/GRAPH Software: Reference, Version 8, Copyright 1999 by SAS Institute Inc., Cary, NC, USA Paper: AD02 (Creating Flexible Graphics with Data step Graphics Interface (DSGI), CONTACT INFORMATION Your comments and questions are valuable and appreciated. Authors can be reached at Hui-Ping Chen Eli Lilly and Company Lilly Corporate Center Indianapolis, IN U.S.A. huiping@lilly.com Eugene (Bill) Johnson Eli Lilly and Company Lilly Corporate Center Indianapolis, IN U.S.A. Johnson_Eugene_Edward@lilly.com SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. indicates USA registration. Other brand and product names are trademarks of their respective companies.

Making Presentations More Fun with DATA Step Graphics Interface (DSGI) Hui-Ping Chen, Eli Lilly and Company, Indianapolis, Indiana

Making Presentations More Fun with DATA Step Graphics Interface (DSGI) Hui-Ping Chen, Eli Lilly and Company, Indianapolis, Indiana Paper CC03 Making Presentations More Fun with DATA Step Graphics Interface (DSGI) Hui-Ping Chen, Eli Lilly and Company, Indianapolis, Indiana ABSTRACT Microsoft PowerPoint is powerful and most popular

More information

The GANNO Procedure. Overview CHAPTER 12

The GANNO Procedure. Overview CHAPTER 12 503 CHAPTER 12 The GANNO Procedure Overview 503 Procedure Syntax 504 PROC GANNO Statement 504 Examples 507 Example 1: Scaling Data-Dependent Output 507 Example 2: Storing Annotate Graphics 509 Example

More information

Data Annotations in Clinical Trial Graphs Sudhir Singh, i3 Statprobe, Cary, NC

Data Annotations in Clinical Trial Graphs Sudhir Singh, i3 Statprobe, Cary, NC PharmaSUG2010 - Paper TT16 Data Annotations in Clinical Trial Graphs Sudhir Singh, i3 Statprobe, Cary, NC ABSTRACT Graphical representation of clinical data is used for concise visual presentations of

More information

Multiple Graphical and Tabular Reports on One Page, Multiple Ways to Do It Niraj J Pandya, CT, USA

Multiple Graphical and Tabular Reports on One Page, Multiple Ways to Do It Niraj J Pandya, CT, USA Paper TT11 Multiple Graphical and Tabular Reports on One Page, Multiple Ways to Do It Niraj J Pandya, CT, USA ABSTRACT Creating different kind of reports for the presentation of same data sounds a normal

More information

The GSLIDE Procedure. Overview. About Text Slides CHAPTER 27

The GSLIDE Procedure. Overview. About Text Slides CHAPTER 27 959 CHAPTER 27 The GSLIDE Procedure Overview 959 About Text Slides 959 About Annotate Output 960 Procedure Syntax 960 PROC GSLIDE Statement 961 Examples 963 Example 1: Producing Text Slides 963 Example

More information

ODS LAYOUT is Like an Onion

ODS LAYOUT is Like an Onion Paper DP03_05 ODS LAYOUT is Like an Onion Rich Mays, University of Rochester Medical Center, Rochester, NY Abstract ODS LAYOUT is like an onion. They both make you cry? No! They both have layers! In version

More information

Presentation Quality Graphics with SAS/GRAPH

Presentation Quality Graphics with SAS/GRAPH Presentation Quality Graphics with SAS/GRAPH Keith Cranford, Marquee Associates, LLC Abstract The SASI GRAP~ Annotate Facilily along with hardware fonts can be used to produce presentation qualily graphics

More information

Create Flowcharts Using Annotate Facility. Priya Saradha & Gurubaran Veeravel

Create Flowcharts Using Annotate Facility. Priya Saradha & Gurubaran Veeravel Create Flowcharts Using Annotate Facility Priya Saradha & Gurubaran Veeravel Abstract With mounting significance to the graphical presentation of data in different forms in the pharmaceutical industry,

More information

A Juxtaposition of Tables and Graphs Using SAS /GRAPH Procedures

A Juxtaposition of Tables and Graphs Using SAS /GRAPH Procedures A Juxtaposition of Tables and Graphs Using SAS /GRAPH Procedures Suhas R. Sanjee, MaxisIT Inc., Edison, NJ Sheng Zhang, Merck and Co., Upper Gwynedd, PA ABSTRACT Graphs provide high-impact visuals that

More information

PharmaSUG 2015 Paper PO03

PharmaSUG 2015 Paper PO03 PharmaSUG 2015 Paper P03 A Visual Reflection on SAS/GRAPH History: Plot, Gplot, Greplay, and Sgrender Haibin Shu, AccuClin Global Services LLC, Wayne, PA John He, AccuClin Global Services LLC, Wayne, PA

More information

Creating Forest Plots Using SAS/GRAPH and the Annotate Facility

Creating Forest Plots Using SAS/GRAPH and the Annotate Facility PharmaSUG2011 Paper TT12 Creating Forest Plots Using SAS/GRAPH and the Annotate Facility Amanda Tweed, Millennium: The Takeda Oncology Company, Cambridge, MA ABSTRACT Forest plots have become common in

More information

Using MACRO and SAS/GRAPH to Efficiently Assess Distributions. Paul Walker, Capital One

Using MACRO and SAS/GRAPH to Efficiently Assess Distributions. Paul Walker, Capital One Using MACRO and SAS/GRAPH to Efficiently Assess Distributions Paul Walker, Capital One INTRODUCTION A common task in data analysis is assessing the distribution of variables by means of univariate statistics,

More information

Multiple Forest Plots and the SAS System

Multiple Forest Plots and the SAS System Multiple Forest Plots and the SAS System Poster 10 Anne Barfield, Quanticate, Manchester, United Kingdom ABSTRACT This paper is the accompanying paper to the poster entitled Multiple Forest Plots and the

More information

A Plot & a Table per Page Times Hundreds in a Single PDF file

A Plot & a Table per Page Times Hundreds in a Single PDF file A Plot & a Table per Page Times Hundreds in a Single PDF file Daniel Leprince DIEM Computing Services, Inc. Elizabeth Li DIEM Computing Services, Inc. SAS is a registered trademark or trademark of SAS

More information

The GIMPORT Procedure

The GIMPORT Procedure 705 CHAPTER 17 The GIMPORT Procedure Overview 705 Concepts 706 About Importing Graphics 706 Specifying a Fileref 706 Importing the File 706 CGM Elements Not Supported 707 About Color Mapping 707 About

More information

INTRODUCTION TO THE SAS ANNOTATE FACILITY

INTRODUCTION TO THE SAS ANNOTATE FACILITY Improving Your Graphics Using SAS/GRAPH Annotate Facility David J. Pasta, Ovation Research Group, San Francisco, CA David Mink, Ovation Research Group, San Francisco, CA ABSTRACT Have you ever created

More information

Coders' Corner. Paper ABSTRACT GLOBAL STATEMENTS INTRODUCTION

Coders' Corner. Paper ABSTRACT GLOBAL STATEMENTS INTRODUCTION Paper 70-26 Data Visualization of Outliers from a Health Research Perspective Using SAS/GRAPH and the Annotate Facility Nadia Redmond Kaiser Permanente Center for Health Research, Portland, Oregon ABSTRACT

More information

When Simpler is Better Visualizing Laboratory Data Using SG Procedures Wei Cheng, Isis Pharmaceuticals, Inc., Carlsbad, CA

When Simpler is Better Visualizing Laboratory Data Using SG Procedures Wei Cheng, Isis Pharmaceuticals, Inc., Carlsbad, CA When Simpler is Better Visualizing Laboratory Data Using SG Procedures Wei Cheng, Isis Pharmaceuticals, Inc., Carlsbad, CA ABSTRACT In SAS 9.2, SAS/GRAPH introduces a family of new procedures to create

More information

An Introduction to the DATA Step Graphics Interface Earl Westerlund, Eastman Kodak Company, Rochester, NY

An Introduction to the DATA Step Graphics Interface Earl Westerlund, Eastman Kodak Company, Rochester, NY n Introduction to the DT Step Graphics Interface Earl Westerlund, Eastman Kodak Company, Rochester, NY INTRODUCTION The DT Step Graphics Interface (DSGI) is a component of SS/GRPH software that enables

More information

ABC Macro and Performance Chart with Benchmarks Annotation

ABC Macro and Performance Chart with Benchmarks Annotation Paper CC09 ABC Macro and Performance Chart with Benchmarks Annotation Jing Li, AQAF, Birmingham, AL ABSTRACT The achievable benchmark of care (ABC TM ) approach identifies the performance of the top 10%

More information

SAS/GRAPH : Using the Annotate Facility

SAS/GRAPH : Using the Annotate Facility SAS/GRAPH : Using the Annotate Facility Jack S. Nyberg, ClinTrials Research, Inc., Lexington, KY. Stuart D. Nichols, ClinTrials Research, Inc., Lexington, KY. ABSTRACT The annotate facility in SAS/GRAPH

More information

A SAS Macro to Generate Caterpillar Plots. Guochen Song, i3 Statprobe, Cary, NC

A SAS Macro to Generate Caterpillar Plots. Guochen Song, i3 Statprobe, Cary, NC PharmaSUG2010 - Paper CC21 A SAS Macro to Generate Caterpillar Plots Guochen Song, i3 Statprobe, Cary, NC ABSTRACT Caterpillar plots are widely used in meta-analysis and it only requires a click in software

More information

Customized Flowcharts Using SAS Annotation Abhinav Srivastva, PaxVax Inc., Redwood City, CA

Customized Flowcharts Using SAS Annotation Abhinav Srivastva, PaxVax Inc., Redwood City, CA ABSTRACT Customized Flowcharts Using SAS Annotation Abhinav Srivastva, PaxVax Inc., Redwood City, CA Data visualization is becoming a trend in all sectors where critical business decisions or assessments

More information

Generating Participant Specific Figures Using SAS Graphic Procedures Carry Croghan and Marsha Morgan, EPA, Research Triangle Park, NC

Generating Participant Specific Figures Using SAS Graphic Procedures Carry Croghan and Marsha Morgan, EPA, Research Triangle Park, NC DP05 Generating Participant Specific Figures Using SAS Graphic Procedures Carry Croghan and Marsha Morgan, EPA, Research Triangle Park, NC ABSTRACT An important part of our research at the US Environmental

More information

* builds the RGB color string from the color. * reads the red, green; and blue values for. * constructs an ANNOTATE dataset by

* builds the RGB color string from the color. * reads the red, green; and blue values for. * constructs an ANNOTATE dataset by IMPORTING X WINDOW SYSTEMTM RASTER IMAGES INTO SAS/GRAPHR SOFIWARE OUTPUT Bernadette Johnson Wendy D. Johnson Pharmaceutical Product Development, Inc. SAS Institute Inc. Introduction Under the UNIXR operating

More information

Innovative Graph for Comparing Central Tendencies and Spread at a Glance

Innovative Graph for Comparing Central Tendencies and Spread at a Glance Paper 140-28 Innovative Graph for Comparing Central Tendencies and Spread at a Glance Varsha C. Shah, CSCC, Dept. of Biostatistics, UNC-CH, Chapel Hill, NC Ravi M. Mathew, CSCC,Dept. of Biostatistics,

More information

... WHERE. AnnotaI8 Data.S... XSYS & YSYS. Harie Annotate: How Not to Lose Your Head When Enhancing BAS/GRAPH output

... WHERE. AnnotaI8 Data.S... XSYS & YSYS. Harie Annotate: How Not to Lose Your Head When Enhancing BAS/GRAPH output Harie Annotate: How Not to Lose Your Head When Enhancing BAS/GRAPH output Arthur La Carpenter California occidental consultants KEY WORDS ANNOTATE, GRAPHICS, FRANCE, GSLIDE, GANNO, FUNCTION INTRODUCTION

More information

Foundations and Fundamentals. SAS System Options: The True Heroes of Macro Debugging Kevin Russell and Russ Tyndall, SAS Institute Inc.

Foundations and Fundamentals. SAS System Options: The True Heroes of Macro Debugging Kevin Russell and Russ Tyndall, SAS Institute Inc. SAS System Options: The True Heroes of Macro Debugging Kevin Russell and Russ Tyndall, SAS Institute Inc., Cary, NC ABSTRACT It is not uncommon for the first draft of any macro application to contain errors.

More information

Effective Forecast Visualization With SAS/GRAPH Samuel T. Croker, Lexington, SC

Effective Forecast Visualization With SAS/GRAPH Samuel T. Croker, Lexington, SC DP01 Effective Forecast Visualization With SAS/GRAPH Samuel T. Croker, Lexington, SC ABSTRACT A statistical forecast is useless without sharp, attractive and informative graphics to present it. It is really

More information

THE IMPACT OF DATA VISUALIZATION IN A STUDY OF CHRONIC DISEASE

THE IMPACT OF DATA VISUALIZATION IN A STUDY OF CHRONIC DISEASE THE IMPACT OF DATA VISUALIZATION IN A STUDY OF CHRONIC DISEASE South Central SAS Users Group SAS Educational Forum 2007 Austin, TX Gabe Cano, Altarum Institute Brad Smith, Altarum Institute Paul Cuddihy,

More information

Information Visualization

Information Visualization Paper 166-25 Presenting Your Data Easily with Graph-N-Go Curtis A. Smith, Defense Contract Audit Agency, La Mirada, CA ABSTRACT Visualizing and presenting data effectively using reports and listings can

More information

Automated Checking Of Multiple Files Kathyayini Tappeta, Percept Pharma Services, Bridgewater, NJ

Automated Checking Of Multiple Files Kathyayini Tappeta, Percept Pharma Services, Bridgewater, NJ PharmaSUG 2015 - Paper QT41 Automated Checking Of Multiple Files Kathyayini Tappeta, Percept Pharma Services, Bridgewater, NJ ABSTRACT Most often clinical trial data analysis has tight deadlines with very

More information

PharmaSUG Paper TT10 Creating a Customized Graph for Adverse Event Incidence and Duration Sanjiv Ramalingam, Octagon Research Solutions Inc.

PharmaSUG Paper TT10 Creating a Customized Graph for Adverse Event Incidence and Duration Sanjiv Ramalingam, Octagon Research Solutions Inc. Abstract PharmaSUG 2011 - Paper TT10 Creating a Customized Graph for Adverse Event Incidence and Duration Sanjiv Ramalingam, Octagon Research Solutions Inc. Adverse event (AE) analysis is a critical part

More information

EXPORTING SAS OUTPUT ONTO THE WORLD WIDE WEB

EXPORTING SAS OUTPUT ONTO THE WORLD WIDE WEB EXPORTING SAS OUTPUT ONTO THE WORLD WIDE WEB Shi-Tao Yeh, EDP Contract Services Andrew C. Yeh, Relyt Technologies Inc. ABSTRACT This paper presents a step by step demostration of exporting SAS list and

More information

Custom Map Displays Created with SAS/GRAPH Procedures and the Annotate Facility Debra Miller, National Park Service, Denver, CO

Custom Map Displays Created with SAS/GRAPH Procedures and the Annotate Facility Debra Miller, National Park Service, Denver, CO Paper 134-28 Custom Map Displays Created with SAS/GRAPH Procedures and the Annotate Facility Debra Miller, National Park Service, Denver, CO ABSTRACT The Annotate facility is a flexible system that you

More information

Paper CC01 Sort Your SAS Graphs and Create a Bookmarked PDF Document Using ODS PDF ABSTRACT INTRODUCTION

Paper CC01 Sort Your SAS Graphs and Create a Bookmarked PDF Document Using ODS PDF ABSTRACT INTRODUCTION Paper CC01 Sort Your SAS Graphs and Create a Bookmarked PDF Document Using ODS PDF Dirk Spruck, Accovion GmbH, Marburg, Germany Monika Kawohl, Accovion GmbH, Marburg, Germany ABSTRACT Graphs are a great

More information

MANAGING SAS/GRAPH DISPLAYS WITH THE GREPLAY PROCEDURE. Perry Watts IMS Health

MANAGING SAS/GRAPH DISPLAYS WITH THE GREPLAY PROCEDURE. Perry Watts IMS Health MANAGING SAS/GRAPH DISPLAYS WITH THE PROCEDURE Perry Watts IMS Health Abstract PROC is used for redisplaying graphs that have been stored in temporary or permanent catalogs. This tutorial will show how

More information

A SAS Macro for Generating Informative Cumulative/Point-wise Bar Charts

A SAS Macro for Generating Informative Cumulative/Point-wise Bar Charts Paper PO16 A SAS Macro for Generating Informative Cumulative/Point-wise Bar Charts Xuejing Mao, Eli Lilly and Company, Indianapolis, IN Mario Widel, Eli Lilly and Company, Indianapolis, IN ABSTRACT Bar

More information

Tips for Producing Customized Graphs with SAS/GRAPH Software. Perry Watts, Fox Chase Cancer Center, Philadelphia, PA

Tips for Producing Customized Graphs with SAS/GRAPH Software. Perry Watts, Fox Chase Cancer Center, Philadelphia, PA Tips for Producing Customized Graphs with SAS/GRAPH Software Perry Watts, Fox Chase Cancer Center, Philadelphia, PA Abstract * SAS software is used to produce customized graphics displays by solving a

More information

SparkLines Using SAS and JMP

SparkLines Using SAS and JMP SparkLines Using SAS and JMP Kate Davis, International Center for Finance at Yale, New Haven, CT ABSTRACT Sparklines are intense word-sized graphics for use inline text or on a dashboard that condense

More information

USING SAS PROC GREPLAY WITH ANNOTATE DATA SETS FOR EFFECTIVE MULTI-PANEL GRAPHICS Walter T. Morgan, R. J. Reynolds Tobacco Company ABSTRACT

USING SAS PROC GREPLAY WITH ANNOTATE DATA SETS FOR EFFECTIVE MULTI-PANEL GRAPHICS Walter T. Morgan, R. J. Reynolds Tobacco Company ABSTRACT USING SAS PROC GREPLAY WITH ANNOTATE DATA SETS FOR EFFECTIVE MULTI-PANEL GRAPHICS Walter T. Morgan, R. J. Reynolds Tobacco Company ABSTRACT This presentation introduces SAS users to PROC GREPLAY and the

More information

Paper S Data Presentation 101: An Analyst s Perspective

Paper S Data Presentation 101: An Analyst s Perspective Paper S1-12-2013 Data Presentation 101: An Analyst s Perspective Deanna Chyn, University of Michigan, Ann Arbor, MI Anca Tilea, University of Michigan, Ann Arbor, MI ABSTRACT You are done with the tedious

More information

PharmaSUG 2013 CC26 Automating the Labeling of X- Axis Sanjiv Ramalingam, Vertex Pharmaceuticals, Inc., Cambridge, MA

PharmaSUG 2013 CC26 Automating the Labeling of X- Axis Sanjiv Ramalingam, Vertex Pharmaceuticals, Inc., Cambridge, MA PharmaSUG 2013 CC26 Automating the Labeling of X- Axis Sanjiv Ramalingam, Vertex Pharmaceuticals, Inc., Cambridge, MA ABSTRACT Labeling of the X-axis usually involves a tedious axis statement specifying

More information

Your Own SAS Macros Are as Powerful as You Are Ingenious

Your Own SAS Macros Are as Powerful as You Are Ingenious Paper CC166 Your Own SAS Macros Are as Powerful as You Are Ingenious Yinghua Shi, Department Of Treasury, Washington, DC ABSTRACT This article proposes, for user-written SAS macros, separate definitions

More information

SAS System Powers Web Measurement Solution at U S WEST

SAS System Powers Web Measurement Solution at U S WEST SAS System Powers Web Measurement Solution at U S WEST Bob Romero, U S WEST Communications, Technical Expert - SAS and Data Analysis Dale Hamilton, U S WEST Communications, Capacity Provisioning Process

More information

A Format to Make the _TYPE_ Field of PROC MEANS Easier to Interpret Matt Pettis, Thomson West, Eagan, MN

A Format to Make the _TYPE_ Field of PROC MEANS Easier to Interpret Matt Pettis, Thomson West, Eagan, MN Paper 045-29 A Format to Make the _TYPE_ Field of PROC MEANS Easier to Interpret Matt Pettis, Thomson West, Eagan, MN ABSTRACT: PROC MEANS analyzes datasets according to the variables listed in its Class

More information

PharmaSUG 2012 Paper CC13

PharmaSUG 2012 Paper CC13 PharmaSUG 2012 Paper CC13 Techniques for Improvising the Standard Error Bar Graph and Axis Values Completely Through SAS Annotation Sunil Kumar Ganeshna, PharmaNet/i3, Pune, India Venkateswara Rao, PharmaNet/i3,

More information

Changing Titles on Graphs With Minimal Processing

Changing Titles on Graphs With Minimal Processing Changing Titles on Graphs With Minimal Processing Deb Cassidy, Computer Horizons Corporation, Indianapolis, IN Have you ever created numerous graphs only to have someone make a "minor" change in the title

More information

An Efficient Method to Create Titles for Multiple Clinical Reports Using Proc Format within A Do Loop Youying Yu, PharmaNet/i3, West Chester, Ohio

An Efficient Method to Create Titles for Multiple Clinical Reports Using Proc Format within A Do Loop Youying Yu, PharmaNet/i3, West Chester, Ohio PharmaSUG 2012 - Paper CC12 An Efficient Method to Create Titles for Multiple Clinical Reports Using Proc Format within A Do Loop Youying Yu, PharmaNet/i3, West Chester, Ohio ABSTRACT Do you know how to

More information

PharmaSUG Paper TT11

PharmaSUG Paper TT11 PharmaSUG 2014 - Paper TT11 What is the Definition of Global On-Demand Reporting within the Pharmaceutical Industry? Eric Kammer, Novartis Pharmaceuticals Corporation, East Hanover, NJ ABSTRACT It is not

More information

Using Recursion for More Convenient Macros

Using Recursion for More Convenient Macros Paper BB-04 Using Recursion for More Convenient Macros Nate Derby, Stakana Analytics, Seattle, WA ABSTRACT There are times when a macro needs to alternatively be applied to either one value or a list of

More information

ABSTRACT MORE THAN SYNTAX ORGANIZE YOUR WORK THE SAS ENTERPRISE GUIDE PROJECT. Paper 50-30

ABSTRACT MORE THAN SYNTAX ORGANIZE YOUR WORK THE SAS ENTERPRISE GUIDE PROJECT. Paper 50-30 Paper 50-30 The New World of SAS : Programming with SAS Enterprise Guide Chris Hemedinger, SAS Institute Inc., Cary, NC Stephen McDaniel, SAS Institute Inc., Cary, NC ABSTRACT SAS Enterprise Guide (with

More information

Data Driven Annotations: An Introduction to SAS/GRAPH s Annotate Facility

Data Driven Annotations: An Introduction to SAS/GRAPH s Annotate Facility Paper HW03 Data Driven Annotations: An Introduction to SAS/GRAPH s Annotate Facility Arthur L. Carpenter California Occidental Consultants ABSTRACT When SAS/GRAPH was first introduced, it was the only

More information

SAS automation techniques specification driven programming for Lab CTC grade derivation and more

SAS automation techniques specification driven programming for Lab CTC grade derivation and more PharmaSUG 2018 - Paper BB-12 SAS automation techniques specification driven programming for Lab CTC grade derivation and more Yurong Dai, Yuqin Helen Li, Eli Lilly and Company ABSTRACT SAS programmers

More information

Cover the Basics, Tool for structuring data checking with SAS Ole Zester, Novo Nordisk, Denmark

Cover the Basics, Tool for structuring data checking with SAS Ole Zester, Novo Nordisk, Denmark ABSTRACT PharmaSUG 2014 - Paper IB04 Cover the Basics, Tool for structuring data checking with SAS Ole Zester, Novo Nordisk, Denmark Data Cleaning and checking are essential parts of the Stat programmer

More information

SAS Drug Development Program Portability

SAS Drug Development Program Portability PharmaSUG2011 Paper SAS-AD03 SAS Drug Development Program Portability Ben Bocchicchio, SAS Institute, Cary NC, US Nancy Cole, SAS Institute, Cary NC, US ABSTRACT A Roadmap showing how SAS code developed

More information

Quality Control of Clinical Data Listings with Proc Compare

Quality Control of Clinical Data Listings with Proc Compare ABSTRACT Quality Control of Clinical Data Listings with Proc Compare Robert Bikwemu, Pharmapace, Inc., San Diego, CA Nicole Wallstedt, Pharmapace, Inc., San Diego, CA Checking clinical data listings with

More information

Using ANNOTATE MACROS as Shortcuts

Using ANNOTATE MACROS as Shortcuts Using ANNOTATE MACROS as Shortcuts Arthur L. Carpenter California Occidental Consultants Abstract ANNOTATE macros can provide a shortcut when creating an ANNOTATE data set using assignment statements.

More information

A Generalized Macro-Based Data Reporting System to Produce Both HTML and Text Files

A Generalized Macro-Based Data Reporting System to Produce Both HTML and Text Files A Generalized Macro-Based Data Reporting System to Produce Both HTML and Text Files Jeff F. Sun, Blue Cross Blue Shield of North Carolina, Durham, North Carolina Abstract This paper will address the inter-connection

More information

Data Explore Matrix Quality Control by Exploring and Mining Data in Clinical Study

Data Explore Matrix Quality Control by Exploring and Mining Data in Clinical Study PharmaSUG China 2017 - Paper 34 Data Explore Matrix Quality Control by Exploring and Mining Data in Clinical Study Yongxu Tang, Merck, Beijing, China Yu Meng, Merck, Beijing, China Yongjian Zhou, Merck,

More information

Figure 1. Paper Ring Charts. David Corliss, Marketing Associates, Bloomfield Hills, MI

Figure 1. Paper Ring Charts. David Corliss, Marketing Associates, Bloomfield Hills, MI Paper 16828 Ring Charts David Corliss, Marketing Associates, Bloomfield Hills, MI Abstract Ring Charts are presented as a new, graphical technique for analyzing complex relationships between tables in

More information

SAS CLINICAL SYLLABUS. DURATION: - 60 Hours

SAS CLINICAL SYLLABUS. DURATION: - 60 Hours SAS CLINICAL SYLLABUS DURATION: - 60 Hours BASE SAS PART - I Introduction To Sas System & Architecture History And Various Modules Features Variables & Sas Syntax Rules Sas Data Sets Data Set Options Operators

More information

186 Statistics, Data Analysis and Modeling. Proceedings of MWSUG '95

186 Statistics, Data Analysis and Modeling. Proceedings of MWSUG '95 A Statistical Analysis Macro Library in SAS Carl R. Haske, Ph.D., STATPROBE, nc., Ann Arbor, M Vivienne Ward, M.S., STATPROBE, nc., Ann Arbor, M ABSTRACT Statistical analysis plays a major role in pharmaceutical

More information

SAS Visual Analytics 8.2: Getting Started with Reports

SAS Visual Analytics 8.2: Getting Started with Reports SAS Visual Analytics 8.2: Getting Started with Reports Introduction Reporting The SAS Visual Analytics tools give you everything you need to produce and distribute clear and compelling reports. SAS Visual

More information

Top Award and First Place Best Presentation of Data Lan Tran-La. Scios Nova, Inc. BLOOD PRESSURE AND HEART RATE vs TIME

Top Award and First Place Best Presentation of Data Lan Tran-La. Scios Nova, Inc. BLOOD PRESSURE AND HEART RATE vs TIME Top Award and First Place Best Presentation of Data Lan Tran-La Scios Nova, Inc. BLOOD PRESSURE AND HEART RATE vs TIME Vital signs were collected before, during, and after the infusion of Drug A. At the

More information

Developing a Dashboard to Aid in Effective Project Management

Developing a Dashboard to Aid in Effective Project Management Developing a Dashboard to Aid in Effective Project Management M. Paige Borden, University of Central Florida, Orlando, FL Maureen Murray, University of Central Florida, Orlando, FL Ali Yorkos, University

More information

Extending the Scope of Custom Transformations

Extending the Scope of Custom Transformations Paper 3306-2015 Extending the Scope of Custom Transformations Emre G. SARICICEK, The University of North Carolina at Chapel Hill. ABSTRACT Building and maintaining a data warehouse can require complex

More information

Using SAS/GRAPH Software to Create Graphs on the Web Himesh Patel, SAS Institute Inc., Cary, NC Revised by David Caira, SAS Institute Inc.

Using SAS/GRAPH Software to Create Graphs on the Web Himesh Patel, SAS Institute Inc., Cary, NC Revised by David Caira, SAS Institute Inc. Paper 189 Using SAS/GRAPH Software to Create Graphs on the Web Himesh Patel, SAS Institute Inc., Cary, NC Revised by David Caira, SAS Institute Inc., Cary, NC ABSTRACT This paper highlights some ways of

More information

Template Versatility Using SAS Macro Language to Generate Dynamic RTF Reports Patrick Leon, MPH

Template Versatility Using SAS Macro Language to Generate Dynamic RTF Reports Patrick Leon, MPH Versatility Using SAS Macro Language to Generate Dynamic RTF Reports Versatility Using SAS Macro Language to Generate Dynamic RTF Reports ABSTRACT SAS Macro Language can be used to enhance many report-generating

More information

Anatomy of a Merge Gone Wrong James Lew, Compu-Stat Consulting, Scarborough, ON, Canada Joshua Horstman, Nested Loop Consulting, Indianapolis, IN, USA

Anatomy of a Merge Gone Wrong James Lew, Compu-Stat Consulting, Scarborough, ON, Canada Joshua Horstman, Nested Loop Consulting, Indianapolis, IN, USA ABSTRACT PharmaSUG 2013 - Paper TF22 Anatomy of a Merge Gone Wrong James Lew, Compu-Stat Consulting, Scarborough, ON, Canada Joshua Horstman, Nested Loop Consulting, Indianapolis, IN, USA The merge is

More information

Missing Pages Report. David Gray, PPD, Austin, TX Zhuo Chen, PPD, Austin, TX

Missing Pages Report. David Gray, PPD, Austin, TX Zhuo Chen, PPD, Austin, TX PharmaSUG2010 - Paper DM05 Missing Pages Report David Gray, PPD, Austin, TX Zhuo Chen, PPD, Austin, TX ABSTRACT In a clinical study it is important for data management teams to receive CRF pages from investigative

More information

Using Graph-N-Go With ODS to Easily Present Your Data and Web-Enable Your Graphs Curtis A. Smith, Defense Contract Audit Agency, La Mirada, CA

Using Graph-N-Go With ODS to Easily Present Your Data and Web-Enable Your Graphs Curtis A. Smith, Defense Contract Audit Agency, La Mirada, CA Paper 160-26 Using Graph-N-Go With ODS to Easily Present Your Data and Web-Enable Your Graphs Curtis A. Smith, Defense Contract Audit Agency, La Mirada, CA ABSTRACT Visualizing and presenting data effectively

More information

SAS/GRAPH Introduction. Winfried Jakob, SAS Administrator Canadian Institute for Health Information

SAS/GRAPH Introduction. Winfried Jakob, SAS Administrator Canadian Institute for Health Information SAS/GRAPH Introduction Winfried Jakob, SAS Administrator Canadian Institute for Health Information 1 Agenda Overview Components of SAS/GRAPH Software Device-Based vs. Template-Based Graphics Graph Types

More information

A Stand-Alone SAS Annotate System for Figure Generation Brian Fairfield-Carter, PRA International, Victoria, BC

A Stand-Alone SAS Annotate System for Figure Generation Brian Fairfield-Carter, PRA International, Victoria, BC Paper 061-29 A Stand-Alone SAS Annotate System for Figure Generation Brian Fairfield-Carter, PRA International, Victoria, BC ABSTRACT Much of the work in developing output-generating tools involves striking

More information

SAS/GRAPH and ANNOTATE Facility More Than Just a Bunch of Labels and Lines

SAS/GRAPH and ANNOTATE Facility More Than Just a Bunch of Labels and Lines 2015 Paper AD-48 SAS/GRAPH and ANNOTATE Facility More Than Just a Bunch of Labels and Lines Mike Hunsucker, 14th Weather Squadron (USAF), Asheville, NC ABSTRACT SAS/GRAPH procedures enhanced with the ANNOTATE

More information

PharmaSUG China

PharmaSUG China PharmaSUG China 2016-39 Smart Statistical Graphics A Comparison Between SAS and TIBCO Spotfire In Data Visualization Yi Gu, Roche Product Development in Asia Pacific, Shanghai, China ABSTRACT Known for

More information

SUGI 29 Posters. Paper A Group Scatter Plot with Clustering Xiaoli Hu, Wyeth Consumer Healthcare., Madison, NJ

SUGI 29 Posters. Paper A Group Scatter Plot with Clustering Xiaoli Hu, Wyeth Consumer Healthcare., Madison, NJ Paper 146-29 A Group Scatter Plot with Clustering Xiaoli Hu, Wyeth Consumer Healthcare., Madison, NJ ABSTRACT In pharmacokinetic studies, abnormally high values of maximum plasma concentration Cmax of

More information

Tales from the Help Desk 6: Solutions to Common SAS Tasks

Tales from the Help Desk 6: Solutions to Common SAS Tasks SESUG 2015 ABSTRACT Paper BB-72 Tales from the Help Desk 6: Solutions to Common SAS Tasks Bruce Gilsen, Federal Reserve Board, Washington, DC In 30 years as a SAS consultant at the Federal Reserve Board,

More information

The Dataset Diet How to transform short and fat into long and thin

The Dataset Diet How to transform short and fat into long and thin Paper TU06 The Dataset Diet How to transform short and fat into long and thin Kathryn Wright, Oxford Pharmaceutical Sciences, UK ABSTRACT What do you do when you are given a dataset with one observation

More information

Tackling Unique Problems Using TWO SET Statements in ONE DATA Step. Ben Cochran, The Bedford Group, Raleigh, NC

Tackling Unique Problems Using TWO SET Statements in ONE DATA Step. Ben Cochran, The Bedford Group, Raleigh, NC MWSUG 2017 - Paper BB114 Tackling Unique Problems Using TWO SET Statements in ONE DATA Step Ben Cochran, The Bedford Group, Raleigh, NC ABSTRACT This paper illustrates solving many problems by creatively

More information

Fly over, drill down, and explore

Fly over, drill down, and explore ABSTRACT Paper 79-2013 Fly over, drill down, and explore Suzanne Brown, HealthInsight New Mexico, Albuquerque, NM Data often have a spatial dimension, whether it is a five-year financial plan and annual

More information

USING PROC GMAP AND DRILL-DOWN GRAPHICS FOR DATA QUALITY ASSURANCE Meghan Arbogast, Computer Sciences Corporation, Corvallis, OR

USING PROC GMAP AND DRILL-DOWN GRAPHICS FOR DATA QUALITY ASSURANCE Meghan Arbogast, Computer Sciences Corporation, Corvallis, OR USING PROC GMAP AND DRILL-DOWN GRAPHICS FOR DATA QUALITY ASSURANCE Meghan Arbogast, Computer Sciences Corporation, Corvallis, OR ABSTRACT Maps are particularly useful to review the distribution of biological

More information

JMP Clinical. Release Notes. Version 5.0

JMP Clinical. Release Notes. Version 5.0 JMP Clinical Version 5.0 Release Notes Creativity involves breaking out of established patterns in order to look at things in a different way. Edward de Bono JMP, A Business Unit of SAS SAS Campus Drive

More information

SAS Job Monitor 2.2. About SAS Job Monitor. Overview. SAS Job Monitor for SAS Data Integration Studio

SAS Job Monitor 2.2. About SAS Job Monitor. Overview. SAS Job Monitor for SAS Data Integration Studio SAS Job Monitor 2.2 About SAS Job Monitor Overview SAS Job Monitor is a component of SAS Environment Manager that integrates information from SAS Data Integration Studio, DataFlux Data Management Server,

More information

SAS Clinical Data Integration 2.4

SAS Clinical Data Integration 2.4 SAS Clinical Data Integration 2.4 User s Guide SAS Documentation The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2013. SAS Clinical Data Integration 2.4: User's Guide.

More information

The Power of Combining Data with the PROC SQL

The Power of Combining Data with the PROC SQL ABSTRACT Paper CC-09 The Power of Combining Data with the PROC SQL Stacey Slone, University of Kentucky Markey Cancer Center Combining two data sets which contain a common identifier with a MERGE statement

More information

SAS Clinical Data Integration 2.6

SAS Clinical Data Integration 2.6 SAS Clinical Data Integration 2.6 User s Guide SAS Documentation The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2015. SAS Clinical Data Integration 2.6: User's Guide.

More information

Arthur L. Carpenter California Occidental Consultants, Oceanside, California

Arthur L. Carpenter California Occidental Consultants, Oceanside, California Paper 028-30 Storing and Using a List of Values in a Macro Variable Arthur L. Carpenter California Occidental Consultants, Oceanside, California ABSTRACT When using the macro language it is not at all

More information

PharmaSUG Paper PO10

PharmaSUG Paper PO10 PharmaSUG 2013 - Paper PO10 How to make SAS Drug Development more efficient Xiaopeng Li, Celerion Inc., Lincoln, NE Chun Feng, Celerion Inc., Lincoln, NE Peng Chai, Celerion Inc., Lincoln, NE ABSTRACT

More information

Converting Annotate to ODS Graphics. Is It Possible?

Converting Annotate to ODS Graphics. Is It Possible? ABSTRACT Paper 2686-2015 Converting Annotate to ODS Graphics. Is It Possible? Philip R Holland, Holland Numerics Limited In the previous chapter I described how many standard SAS/GRAPH plots can be converted

More information

Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide

Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide Paper 809-2017 Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide ABSTRACT Marje Fecht, Prowerk Consulting Whether you have been programming in SAS for years, are new to

More information

Posters 417. NESUG '92 Proceedings. usinq Annotate Data sets to Enhance Contour Graphics output. Shi Tao Yeh, Environmental Resources Kanaqement, ~nc.

Posters 417. NESUG '92 Proceedings. usinq Annotate Data sets to Enhance Contour Graphics output. Shi Tao Yeh, Environmental Resources Kanaqement, ~nc. Posters 417 usinq Annotate Data sets to Enhance Contour Graphics output Shi Tao Yeh, Environmental Resources Kanaqement, ~nc. I. Introduction The GCONTOUR procedure in the SAS/GRAPH produces contour plpts.

More information

Programming checks: Reviewing the overall quality of the deliverables without parallel programming

Programming checks: Reviewing the overall quality of the deliverables without parallel programming PharmaSUG 2016 Paper IB04 Programming checks: Reviewing the overall quality of the deliverables without parallel programming Shailendra Phadke, Baxalta US Inc., Cambridge MA Veronika Csom, Baxalta US Inc.,

More information

Storing and Reusing Macros

Storing and Reusing Macros 101 CHAPTER 9 Storing and Reusing Macros Introduction 101 Saving Macros in an Autocall Library 102 Using Directories as Autocall Libraries 102 Using SAS Catalogs as Autocall Libraries 103 Calling an Autocall

More information

A Hands-On Introduction to SAS Visual Analytics Reporting

A Hands-On Introduction to SAS Visual Analytics Reporting MWSUG 2016 - Paper HW01 A Hands-On Introduction to SAS Visual Analytics Reporting David Foster, Pinnacle Solutions Inc, Indianapolis, IN ABSTRACT This Hands-On work shop will walk through SAS Visual Analytics

More information

Creating and Executing Stored Compiled DATA Step Programs

Creating and Executing Stored Compiled DATA Step Programs 465 CHAPTER 30 Creating and Executing Stored Compiled DATA Step Programs Definition 465 Uses for Stored Compiled DATA Step Programs 465 Restrictions and Requirements 466 How SAS Processes Stored Compiled

More information

It s Not All Relative: SAS/Graph Annotate Coordinate Systems

It s Not All Relative: SAS/Graph Annotate Coordinate Systems Paper TU05 It s Not All Relative: SAS/Graph Annotate Coordinate Systems Rick Edwards, PPD Inc, Wilmington, NC ABSTRACT This paper discusses the SAS/Graph Annotation coordinate systems and how a combination

More information

Run your reports through that last loop to standardize the presentation attributes

Run your reports through that last loop to standardize the presentation attributes PharmaSUG2011 - Paper TT14 Run your reports through that last loop to standardize the presentation attributes Niraj J. Pandya, Element Technologies Inc., NJ ABSTRACT Post Processing of the report could

More information

COPYRIGHTED MATERIAL. Making Excel More Efficient

COPYRIGHTED MATERIAL. Making Excel More Efficient Making Excel More Efficient If you find yourself spending a major part of your day working with Excel, you can make those chores go faster and so make your overall work life more productive by making Excel

More information

Creating Maps in SAS/GRAPH

Creating Maps in SAS/GRAPH Creating Maps in SAS/GRAPH By Jeffery D. Gilbert, Trilogy Consulting Corporation, Kalamazoo, MI Abstract This paper will give an introduction to creating graphs using the PROC GMAP procedure in SAS/GRAPH.

More information