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Graphing Data Effectively and Avoiding Common Pitfalls Duration: 14 hours ADRP : ADRP
Learn How To Identify fallacies and paradoxes that might lead to misinterpretation of data. Identify common pitfalls in graphical visualizations. Measure distortion in graphs. Use SAS Visual Analytics to create several graphs while avoiding common pitfalls. Who Should Attend Visual analysts, report or dashboard designers, business intelligence consultants, business analysts Prerequisites Before attending this course, you should be able to create simple graphs such as bar charts, pie charts, and scatter plots using any software. Familiarity with SAS Visual Analytics is highly recommended but not mandatory. SAS Products Covered SAS Visual Analytics;SAS Studio Course Outline Introduction Introduction to graphicacy. Introduction to SAS Visual Analytics. Introduction to data representation pitfalls.Common Data Misinterpretations and ParadoxesCommon data misinterpretations. Paradoxes in statistics. Spurious correlations.Common Visual MisrepresentationsCommon data visualization pitfalls. Measuring distortion in graphs. Reasons for misleading visualizations and consequences.Common Remedies for Pitfalls in VisualizationAvoid inappropriate choice of colors. Avoid inappropriate choice of graphical objects. Avoid overuse of custom or complex graphs. Review case study: Tackling visual clutter.
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