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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 words/numbers/pictures in one space (“The Visual Display of Quantitative Information”, Chapter 9, p.180-181):
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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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| − | ** Keep table, graph, words packaged in one place of the page – they all speak the same information
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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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| − | * 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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| − | ** Inefficiency of PowerPoint – it is stuck in time
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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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