The Thought behind Creating a Visualization https://www.telegraph.co.uk/news/0/holi-festival-celebrated-throwing-coloured-powder/

“thinking” about visualizations Thinking visually … our goal is to combine the components we’ve reviewed so far an balance them for the task, the audience, and the data: Are the data univariate, bivariate, or multivariate? Is there a trend in the data that suggest a design? For instance time-based data and bivariate data suggest chart with two axes, time on the x access, dimensions on the y axes. But a history- or image-oriented one - suggests a richer visual- ladened chart. Compare …

Two charts of similar data, different orientations, and visual expressions https://www.thestatszone.com/the-growth-of-the-ufc-ahead-of-the-historic-ufc200

Compare these timelines of art Same audience, task, and similar data … https://www.theartstory.org/jewish_art.htm

A chart that, perhaps, has gone too far … Besides reducing or clustering the data, what other options http://ramakarl.com/imgs/page_artmap.png

InfoVis: Aesthetic elements Data Color, Type Composition

Data - what trend is being suggested by the data? InfoVis: Aesthetic elements Univariate, Bivariate, Multivariate Data - what trend is being suggested by the data? Do the symbols harmonize with the data? Are aesthetic elements that contribute to the visual appeal overtaking legibility? Data Color, Type Composition Are the colors indexed to the data; suggest patterns, groups, differences? Does the choice of type support legibility, understanding scales and data values? Does the composition encourage engagement? Situate the user to interpret the data?

Color-Oriented Data-Oriented Check out these online guides about colors, their codes, and trends in color patterns Color Chart: Reinventing color – 1950 to today Soothsayer of Color Color Hunt Palletton ColourLovers Design Seeds R (ggplot) Tableau Python with matplotlib, seaborne and other libraries Bokey Spreadsheet charts Data-Oriented

Approaching design Audience expectations Types of interactivity with the end-user Properties of the data Domain or topic being studied The task or purpose of the visualization present | explain | explore | discover Aesthetic design influences

Perspectives Models of approaching how to integrate the whole … long-term engagement with the visualization based on the aesthetic qualities; understanding the interplay between the data that are the foundation and their graphic representation’s placement, color, and similarities/differences; interacting with the two bullet points above to arrive at a conclusion, or some new knowledge; helping a viewer take further action (i.e., make a person aware of the phenomenon, knowledgeable, and hence “being informed”); and providing a rationale for conclusion so that the viewer can articulate the reasons for his/her decisions Models of approaching how to integrate the whole … Data-centric emphasizes the charting of the data User-centric tends to underscore affective states, user engagement Visual-centric leads more towards imagery but can overwhelm the data (information graphics) Communications-centric balancing the above with user-interactivity to stimulate sustained questioning to arrive at warranted decisions

Treemap

force-directed

time-series

choropleth

Case studies discussion Shayne Quincy Public Library Bonnie Bonnie