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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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| − | # Avoid visual distortion in data graphics. This will allow the viewer to perceive reality more accurately. Table - best way to show numbers (20 numbers or less>prefer table to a graph). Representation of numbers should be directly proportional to the numerical quantities represented. Clear, detailed labeling to defeat graphical distortion and ambiguity. Show data variation, not design variation. ('''The Visual Display of Quantitative Information''', Chapter 2, p.56, p.61)
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| − | # Don't tell lies in your graph by planning graphical representation accurately. That avoid inaccurate reflection of reality. If plotting government spending and dept over the years, take population and inflation into account. In time-series displays of money, deflated and standardized units of monetary measurement are nearly always better than nominal units('''The Visual Display of Quantitative Information''', Chapter 2, p.68)
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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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| − | ** - "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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Latest revision as of 06:23, 27 August 2012
