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 TitleDate AddedCompany
whitepaper Development of a Low Cost Graphical Interface for Traffic Data Representation: Application to DATEX Information2007-05-15 Universitat de Valencia
  The best way to show information for both operators and end users is a graphical interface. "Classical GIS", where the cartographic elements, the data, and the "Engine" are located in the same server, can be a solution, but it has many constraints. Of course a GIS is a powerful tool, but it is only recommendable under certain data mining requirements.

Tags: Graphics Applications, Application Development		   
whitepaper Graphical Representation of Mean Measurement Over Time2007-05-14 SAS Institute
  A graph of mean measurement over time is one of the most commonly used statistical graphs for data exploration and presentation. It can be as simple as a line plot, or can be a complex graph involving lots of annotation. This paper illustrates some useful techniques provided by SAS/GRAPH and ODS Statistical Graphics to generate graphical displays of mean measurement over time. Programs using these techniques are examined in detail. The examples start from a basic plot, gradually evolve to a complex plot.

Tags: Programming Languages, Data Visualization		   
whitepaper Communication-Effective Pie Charts2007-05-14 SAS Institute
  Pie charts are a popular and simple tool to visually compare the relative size of the parts of a numeric whole. Yet, there is more to getting a SAS/GRAPH pie chart right than one may think. This paper starts with an eye-opening comparison of 3D and 2D. The reader will see how 3D can actually undermine visual communication by distorting the apparent relative size of slices. Then the paper looks at ordering pie slices. To maximally exploit the power of simplicity, the reader will be shown the author's "Pac-man Pie Chart".

Tags: Data Visualization		   
whitepaper Using ODS Styles With SAS/GRAPH2007-05-14 SAS Institute
  Most SAS users are taking advantage of the Output Delivery System (ODS) to produce documents that contain output from SAS procedures. Users are aware of the existence of ODS styles and how a style can be specified to alter the fonts, colors, and other appearance aspects of their tabular output. The good news is that, in SAS 9.2, all SAS/GRAPH graphical output can now be formatted in a similar fashion with an ODS style. ODS styles have been extended to include elements that affect graphical procedure output as well as tabular output. This paper shows how easy it is to apply any of the supplied style definitions to SAS/GRAPH, SAS/STAT, and SAS/ETS output.

Tags: Data Visualization		   
whitepaper The ABC's of Graphical Data Analysis Using SAS/GRAPH2007-05-14 SAS Institute
  No single statistical tool is as powerful as a graph. Using graphs one can display a large amount of information, look for patterns and relationships, confirm or disprove the expected hypothesis and discover new ideas. This paper will describe and illustrate a graphical methodology for data analysis using basic rules and principles. The dossier of statistical graphs given in this paper illustrates the methods and principle elements of graphing data using SAS/GRAPH software. The SAS system and SAS/GRAPH software provide basic tools for statistical analysis and graphical display.

Tags: Graphics Applications, Data Visualization		   
whitepaper Presentation Quality Forecast Visualization With SAS/GRAPH2007-05-14 SAS Institute
  A statistical forecast is useless without sharp, attractive and informative graphics to present it. SAS/GRAPH can produce superior results without resorting to exporting the data and drawing in Microsoft Excel. This paper demonstrates this simplicity using a few macros that make it possible to generate production quality forecast, confidence interval and other forecast-specific visualizations for appropriate SAS procedures. Methods for dealing with odd date intervals and usefully displaying difficult datetime axis values are explored. The ANNOTATE facility is used to help with displaying model and additional date information. Use of SYMBOL, AXIS and LEGEND statements is discussed along with details for using fonts, colors and lines to make the graphics look magazine worthy.

Tags: Programming Languages, Data Visualization		   
whitepaper DATA: Learning What You Didn't Know About Your Data2007-05-14 SAS Institute
  Before data can be appropriately analyzed, researchers and/or analysts, must get to know their data. Getting to know the data involves both descriptive statistics and graphics techniques. PROC UNIVARIATE provides many descriptive statistics, graphics tools and some simple inferential statistics to help the programmer examine the quantitative variables. A number of high quality graphics options are available in PROC UNIVARIATE to help to visualize the data and compare it to a number of possible theoretical distribution (normal, exponential, lognormal, etc.). This paper is a beginner's approach to using PROC UNIVARIATE.

Tags: Data Visualization		   
whitepaper An Introduction to SAS/GRAPH Step-by-Step2007-05-14 SAS Institute
  SAS/GRAPH is an extremely powerful tool. In addition to producing common graphs like pie charts and line graphs, it has the power to create any custom graph that one could imagine. Another great benefit to SAS/GRAPH is its ability to programmatically create the graphs without adjustments. One may have a few daily or monthly graphs to create, hundreds or thousands of graphs by patient or customer or product, or on-demand graphs where someone specifies the subset criteria to get a standardized graph. However, before one can harness the real power, one need to know the basics. This paper explains the creation of a graph and exploring some of the many ways one can make a "Picture worth a thousand words."

Tags: Data Visualization		   
whitepaper Know Your AREA!: Creating Professional SAS Graphics in Clinical Safety Data by Using the AREAS Option in PROC GPLOT2007-05-14 SAS Institute
  In monitoring safety data in clinical trials, visual displays of individual patient data over time (i.e. vitals and lab data) are indispensable. This paper will introduce examples of these displays for a Data Safety Monitoring Committee, using the GPLOT procedure in SAS/GRAPH. Specifically, the AREAS option in GPLOT will be used to show how SAS/GRAPH can be employed to produce complex and professional graphics. Examples from safety monitoring data in the clinical trial environment will be drawn.

Tags: Graphics Applications, Programming Languages		   
whitepaper Easy Graphs With PROC FORMAT, PROC GPLOT, and ODS2007-05-14 SAS Institute
  By means of straightforward commands in SAS v8.2 and SAS/GRAPH, graphs and charts can be generated that are visually appealing and easy to understand without having to import data into another graph-generating program. Using PROC GPLOT/GHART in conjunction with PROC FORMAT and ODS (output delivery system), data can be visualized in a comprehensible style. Many times visualizing data using traditional linear graphs or pie charts is done with a product such as Microsoft Excel or other graphing software after data is compiled and manipulated using SAS. By using PROC GPLOT or PROC GCHART with PROC FORMAT a colorful, quality graphical representation of data can be produced.

Tags: Programming Languages, Data Visualization		   


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