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What are some examples of how data can be misconstrued if we are not careful to report it in the same way that we collect it?
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What are Facts?
Are general ideas Are small pieces of well-known data Are often misconstrued Are subjective and self-serving
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Note 2: Also be careful and check your data types for these two fields.
Both fields should be a decimal data type. in tableau
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give me examples for all of them
dataset – a collection of related data, or information gap – a space between data points
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which type of data is associated with numbers and counting examples include heigh weight length and width
quantitative data
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