Graphics Reference
In-Depth Information
Table 10.
Your Reaction and Visual Answer: Create Data Visualization
Drawing basic shapes like squares, triangles, and circles connected by lines and arrows, and then inserting simple drawings inside of these
shapes make us creating visualization of our concepts. Visualization is an effective tool for conveying information. If we intend to make
our visualization an effective communication tool as well, we can make it interactive, so people we are talking to could add their drawings
to the picture. Even those who think they can't draw may cooperate by adding meaningful ideas and uncovering the hidden relationship.
To design data visualization, you may want to present your data graphically: as a list, a circular pie chart, a bar chart, or a diagram showing
a number of cases with a feature you have chosen to collect. For example, you may choose to color-code for the sizes of shoes, use textures
to tell apart the glasses of water drunk each day, represent planets as amusing drawings, or visually exaggerate temperature changes.
You may prefer to visualize data in the form of art; in that case picture in a synthetic way the essence of the data using symbols or finding
metaphorical way of data presentation in relation to the background conditions.
objects of our scrutiny: libraries, cirques, theaters,
stadiums, etc. For example, visual representation
of geographic data allows spatial analysis of the
number of schools in various school districts and
then focus on our own district. Designers often use
diagrams of many kinds to make understanding
easier: they may apply timelines, Venn diagrams
(collections of circles showing logical relations
between data sets), data maps, flow charts, or
they may design a semantic network (described
later). Bederson and Shneiderman (2003) defined
information visualization as the use of interactive
visual representations of abstract data to amplify
cognition. Ben Shneiderman (1996) included
theoretical approaches and discussion about visual
literacy as a scientific discipline. He proposed the
Visual Information Seeking Mantra and also the
task-by-data-type taxonomy. According to Craft
 
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