Abstract
Decisions about how to represent data measurements for your research projects have important consequences – they directly determine what kinds of statistical and visualization methods can ultimately be used for analysis and presentation of your results. This means you need to select representation types thoughtfully with your analytical goals in mind while at the same time trying to avoid any form of bias in what you decide to measure and what you anticipate your data exploration and analysis tasks will look like.
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© 2020 Harry J. Foxwell
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Foxwell, H.J. (2020). Basic Data Types and When to Use Them. In: Creating Good Data. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6103-3_2
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DOI: https://doi.org/10.1007/978-1-4842-6103-3_2
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Publisher Name: Apress, Berkeley, CA
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Online ISBN: 978-1-4842-6103-3
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