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1 000 000 000 000 000 000 1 Billion Gigabytes 1 Exabyte.

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Presentation on theme: "1 000 000 000 000 000 000 1 Billion Gigabytes 1 Exabyte."— Presentation transcript:

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3 1 000 000 000 000 000 000 1 Billion Gigabytes 1 Exabyte

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6 Origin

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8 Name? Age? Where from? Strengths? Weaknesses? Oddities? Expertise? Bias? Politics? Groups? Relatives?

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11 Integrity

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13 Data is categorized N - Nominal (labels) Apples; Oranges; Bananas; O - Ordinal (ordered) Small; Medium; Large;... Q - Interval (location of zero arbitrary) Jan 19, 2010; Oct 23, 2011,... Q - Ratio (zero fixed)

14 Variable Structured Unstructured Uncertain Margins of error Needs Context Sample

15 It is sampled (Census) manipulated or biased (Politics) biased (Advocacy) error prone (human mistakes)

16 So We Evaluate, filter, clean, question and attribute our data SEE: Harvard Business Review

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18 Any Tool Will Do Tableau, JavaScript, D3, Google API, Many Others

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25 Too much stuff

26 Data-ink Ratio DATA INK Total Ink http://www.infovis-wiki.net/index.php/Data-Ink_Ratio

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28 Too fancy – Edward Tufte Example


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