Both nominal and ordinal data can also be referred to as data-driven.
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Q7: Declarative visualizations are the product of wanting
Q10: Qualitative data is categorical data.
Q11: In describing interval data,0 does not mean
Q12: Continuous data is data that can take
Q13: The standard normal distribution has a 0
Q14: The normal distribution is a phenomenon that
Q16: Data visualizations should not be used to
Q18: Discrete data is data that is represented
Q19: Ratio data is considered the most sophisticated
Q20: If you are comparing two datasets that
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