NOTE: You must achieve 80% or higher on the post module quiz to earn a certificate of completion for the course ‘Managing and Sharing Tabular Data.’
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In tabular data, columns typically represent observations while rows typically represent measured variables.
The following are all examples of best practices when creating tabular data, except:
What is a best practice when making data more interpretable?
When sharing data it should be ‘raw’ not be modified or summarized, nor should you remove any data from the data set.
How do you best deal with missing data?