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== Outputs ==
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''Description of a minimum viable product, aspirational output, stretch goals, etc.''
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== Notes ==
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== Questions to ask oneself about Visualizing Uncertainty ==
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- What does your viz purport to represent in the real world? <br>
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- Is your visualization introducing uncertainty to forgo conflict? In other words, are you being "more vague" in order to be "less politically-charged"? <br>
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- Does your error overwhelm your argument? Is your argument robust to error? Ideally your visualization should show margins of uncertainty or error in addition to your findings. <br>
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- Who is your audience? Your relationship to your audience determines your trade-off between certainty and precision. <br>
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- The knowledge of the uncertainty of your data is just as important as the data... in fact it is the data. <br>
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- What are you assuming when you compare unrepresentative datasets visually <br>
  
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