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Presentation Quality Forecast Visualization With SAS/GRAPH

Overview 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.

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Publisher
SAS Institute
File Format
PDF
Date Published
Jun 2, 2007
Format
White Papers
Topics
Graphics Applications, Data Visualization, Programming Languages

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