đAttention in Graphical Representation: 10 Quotes
âThe visible figures by which principles are illustrated should, so far as possible, have no accessories. They should be magnitudes pure and simple, so that the thought of the pupil may not be distracted, and that he may know what features of the thing represented he is to pay attention to.â (National Education Association, 1894)
âThough variety in method of charting is sometimes desirable in large reports where numerous illustrations must follow each other closely, or in wall exhibits where there must be a great number of charts in rapid sequence, it is better in general to use a variety of effects simply to attract attention, and to present the data themselves according to standard well-known methods.â (Willard C Brinton, âGraphic Methods for Presenting Factsâ, 1919)
âGraphic charts have often been thought to be tools of those alone who are highly skilled in mathematics, but one needs to have a knowledge of only eighth-grade arithmetic to use intelligently even the logarithmic or ratio chart, which is considered so difficult by those unfamiliar with it. [âŚ] If graphic methods are to be most effective, those who are unfamiliar with charts must give some attention to their fundamental structure. Even simple charts may be misinterpreted unless they are thoroughly understood. For instance, one is not likely to read an arithmetic chart correctly unless he also appreciates the significance of a logarithmic chart.â (John R Riggleman & Ira N Frisbee, âBusiness Statisticsâ, 1938)
âIn making up the charts, keep them simple. One idea to a page and not too much detail is a good rule. Try to get variety in the subject matter â now a chart, next a diagram, then a tabulation. Such variety helps hold audience attention.â (Edward J Hegarty, âHow to Use a Set of Display Chartsâ, The American Statistician Vol. 2 (5), 1948)
âCharts and graphs are a method of organizing information for a unique purpose. The purpose may be to inform, to persuade, to obtain a clear understanding of certain facts, or to focus information and attention on a particular problem. The information contained in charts and graphs must, obviously, be relevant to the purpose. For decision-making purposes. information must be focused clearly on the issue or issues requiring attention. The need is not simply for âinformationâ, but for structured information, clearly presented and narrowed to fit a distinctive decision-making context. An advantage of having a âformulaâ or âmodelâ appropriate to a given situation is that the formula indicates what kind of information is needed to obtain a solution or answer to a specific problem.â (Cecil H Meyers, âHandbook of Basic Graphs: A modern approachâ, 1970)
âGraphic misrepresentation is a frequent misuse in presentations to the nonprofessional. The granddaddy of all graphical offenses is to omit the zero on the vertical axis. As a consequence, the chart is often interpreted as if its bottom axis were zero, even though it may be far removed. This can lead to attention-getting headlines about âa soarâ or âa dramatic rise (or fall)â. A modest, and possibly insignificant, change is amplified into a disastrous or inspirational trend.â (Herbert F Spirer et al, âMisused Statisticsâ 2nd Ed, 1998)
âColor can tell us where to look, what to compare and contrast, and it can give us a visual scale of measure. Because color can be so effective, it is often used for multiple purposes in the same graphic â which can create graphics that are dazzling but difficult to interpret. Separating the roles that color can play makes it easier to apply color specifically for encouraging different kinds of visual thinking. [âŚ] Choose colors to draw attention, to label, to show relationships (compare and contrast), or to indicate a visual scale of measure.â (Felice C Frankel & Angela H DePace, âVisual Strategiesâ, 2012)
âUpon discovering a visual image, the brain analyzes it in terms of primitive shapes and colors. Next, unity contours and connections are formed. As well, distinct variations are segmented. Finally, the mind attracts active attention to the significant things it found. That process is permanently running to react to similarities and dissimilarities in shapes, positions, rhythms, colors, and behavior. It can reveal patterns and pattern-violations among the hundreds of data values. That natural ability is the most important thing used in diagramming.â (Vasily Pantyukhin, âPrinciples of Design Diagrammingâ, 2015)
âUsually, diagrams contain some noise â information unrelated to the diagramâs primary goal. Noise is decorations, redundant, and irrelevant data, unnecessarily emphasized and ambiguous icons, symbols, lines, grids, or labels. Every unnecessary element draws attention away from the central idea that the designer is trying to share. Noise reduces clarity by hiding useful information in a fog of useless data. You may quickly identify noise elements if you can remove them from the diagram or make them less intense and attractive without compromising the function.â (Vasily Pantyukhin, âPrinciples of Design Diagrammingâ, 2015)
âPeople see bar charts and line charts and pie charts all the time, and those charts are often boring. Boring graphs are forgettable. Different shapes and uncommon forms that move beyond the borders of our typical data visualization experience can draw readers in.â (Jonathan Schwabish, âBetter Data Visualizations: A guide for scholars, researchers, and wonksâ, 2021)
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