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| List each item you identify using the following format. The easiest way is to copy and paste the template. For now don't bother grouping them, we'll collect a bunch first and then see what the appropriate categories are based on what we find.
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| Google Doc instead? Yes
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| Pattern
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| # Another pithy idea. Why it's important. How to accomplish it. ['''Where It's From''', page number/URL. curator initials]
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| Example
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| # Choose color combinations with good contrast. This makes it easier for people to separate the principle components. Identify a set to use and then ask your colleagues for feedback, use a web-based color choosing tool. ['''Charlie's Book of Viz''', page 33. cfp]
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| Entries
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| Start-Up
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| * "Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency. Graphical displays should:
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| ** show the data
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| ** induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production, or something else
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| ** avoid distorting what the data have to say
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| ** present many numbers in a small space
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| ** make large data sets coherent
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| ** encourage the eye to compare different p[pieces of data
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| ** reveal the data at several levels of detail, from a broad overview to the fine structure
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| ** serve a reasonably clear purpose: description, exploration, tabulation, or decoration
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| ** be closely integrated with the statistical and verbal descriptions of a data set"
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| ** - "The Visual Display of Quantitative Information", pg. 13
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| * "Graphics should be reserved for the richer, more complex, more difficult statistical material." - "The Visual Display of Quantitative Information", pg. 30
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| ** Integrate supportive text to the plotting filed to make the information perception easier for the viewer
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| ** The size of type could be quite small
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| ** Words on and around the graphics are highly effective in telling viewers how to allocate their attention to the various parts of data display
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| ** For graphics words should tell the viewer how to read the design and not what to read in terms of content
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| ** Make the reader choose how to perceive an information, do whatever it takes to understand the material (from presentation)
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| * Graphical practices
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| ***Horizontally stretched time-series are more accessible to the eye (186)
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| ***Shaded, calm, high contrast display might be better (187)
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| ***Ease of labeling: easier to read from left to right on a horizontally stretched plotting-field (187)
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| ***Emphasis on casual influence (187)
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| ***Wider-than-tall shapes make it easier to follow from left to right (188)
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| ***Include labels directly on the picture (43)
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| ***Important comparisons among images should be pointed out to viewers by means of annotation, arrows, labels, highlighting (45)
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| ***Useful to show both unmapped and mapped images (45)
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| ***Every image should always reside on the universal measurement grid of 3-space and time, should accompany rescaling and zooming in and out (45)
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| *** Reports immense detail, organizing complexity through multiple and hierarchical layers of contextual reading (38)
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| ***Words are spelled out, elaborate encoding is avoided
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| ***Words run from left to right
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| ***Little messages help explain data
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| ***Elaborately encoded shadings, cross-hatching, colors are avoided. Instead labels are placed on the graphic, no legend required
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| ***Colors if used are chosen so that color-deficient/ color-blind can make sense of it (choose blue)
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| ***type is clear, precise, modest
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| ***Type is upper and lower case, with serifs
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| ***the more the letters are different from each other, the easier is the reading
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| ***all upper case letter is the hardest read
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| ***lines in data graphics should be thin (185)
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| ***Choosing perpendicular intersections of lines of different weight, the heavier line should be a data measure (186)
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| * Manners of presenting (from the lecture)
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| ** Research problem, examples of problem solutions
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| ** Content: what the problem is, relevance, solution
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| ** Dedicate 8 min of you presentation for audience to pre-read of the material
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| ** Present the material as it was given for the pre-read. Nothing like repetition improves the understanding
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| ** Credibility on speech: give the reasons to believe - documentation
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| ** Conclude with question to personalize/particularize
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| Web Design
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| * "Information becomes the interface" - Basically don't clutter your interface except with the information the audience wants - Visual Explanations, pg. 146
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| == Reading Summaries==
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| * [[Scientific and engineering - Mobeen]]
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| * [[Financial Data - Elena]]
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| * [[Decision making Based on Evidence - Emily]]
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