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Published byAntony Reynolds Modified over 9 years ago
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1 000 000 000 000 000 000 1 Billion Gigabytes 1 Exabyte
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Origin
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Name? Age? Where from? Strengths? Weaknesses? Oddities? Expertise? Bias? Politics? Groups? Relatives?
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Integrity
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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)
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Variable Structured Unstructured Uncertain Margins of error Needs Context Sample
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It is sampled (Census) manipulated or biased (Politics) biased (Advocacy) error prone (human mistakes)
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So We Evaluate, filter, clean, question and attribute our data SEE: Harvard Business Review
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Any Tool Will Do Tableau, JavaScript, D3, Google API, Many Others
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Too much stuff
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Data-ink Ratio DATA INK Total Ink http://www.infovis-wiki.net/index.php/Data-Ink_Ratio
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Too fancy – Edward Tufte Example
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