PPT-1 Determining Effective Data Display with Charts

Chart Types Covered 2 Column Line Pie Stock XY Scatter Area Bubble Visualizing Data 3 Data Graphics Principles 4 Data Graphics Principles 5 Above all else show the data Reminder not to clutter a chart by adding unneeded illustration or decoration. Effective March 12 th 2012 both marketing and operating carrier codes are included in the Electronic Ticket Display TWD as well as Itinerary Ticket Receipt ITR Key FeaturesBenefits The E Ticket Display will include both marketing and operating carr By Keith M Bower Some of the most widelyused form of control charts are X R charts and Individuals charts These are frequently referred to as Shewhart charts after the control charting pioneer Walter Shewhart who originated such techniques These cha without Peripheral Controller. Dr A . Sahu. Dept of Computer Science & Engineering . IIT . Guwahati. Outline. Peripheral communications . Display. LED Display. Decoder . Generic model. Interfacing. Diagrams. Sean V. Hoffman. Institutional Research Analyst. Office of Institutional Research, Planning & Effectiveness. Goals. To learn the basics of Sankey diagrams. To . gain an understanding of how Sankey diagrams can be used in Institutional . Curriculum links and teaching notes. For L1-L2 Adult Numeracy and Functional Maths. . Can be used as an introduction and also for revision. April 2012. Kindly contributed by Chris Farrell, Bolton College. Search for Chris on . Collecting, Charting, Analyzing, and Interpreting Data to Support Quality Improvement. Michael Campitelli and Ruth Croxford. QI Epidemiologists, Institute for Clinical Evaluative Sciences (ICES). Doug Mitchell. Chart Types Covered. 2. Column. Line. Pie. Stock. XY (Scatter). Area. Bubble. Visualizing Data. 3. Data Graphics Principles. 4. Data Graphics Principles. 5. “Above all else show the data”. Reminder not to clutter a chart by adding unneeded illustration or decoration.. Diagrams. Sean V. Hoffman. Institutional Research Analyst. Office of Institutional Research, Planning & Effectiveness. Goals. To learn the basics of Sankey diagrams. To . gain an understanding of how Sankey diagrams can be used in Institutional . Presenting Data in Charts. Author. Help the Eye Compare Data Easily. 1. Use Gentle Color in Charts. 2. Use Fewer Figures Whenever possible. 3. Don't Make Slides Look Too Cramped. 4. Comparison in Column is Easier than Row. to more complicated methods. How Many Variables?. Data sets of dimensions 1, 2, 3 are common. Number of variables per class. 1 - . Univariate. data. 2 - . Bivariate. data. 3 - . Trivariate. data. >3 - . M. Gonzalez Berges. Context . Linac. 4 BPM expert application. New FESA devices developed by Ana. Replacement of existing . Qt. /C++ application. New functionality. Display of raw signals. 4 x 65 000 samples in a chart. S. Last ENGR 120. VISUALS. Capture and hold . people’. s . attention. Help . illustrate textual information. Simplify complicated textual descriptions. Help the reader understand complicated systems, processes, and mechanisms. . Chart is a . visual representation of data from a worksheet . that can bring more understanding to the data than just looking at the numbers.. A chart is a powerful tool that allows you to visually display data in a variety of different chart formats such as Bar, Column, Pie, Line, Area, Doughnut, Scatter, Surface, or Radar charts.. Chapter 2. 2. Types of Variables. Qualitative (Categorical) variables. Can have . states or . subclasses. e.g., rank: [platinum, diamond, gold]. Can be ordered or unordered. e.g., bronze, silver, gold .