Since it is likely that not every name will have three phone numbers associated with it, it is likely that the entire dataframe, when organized this way, has a fair number of null values in the various phone number columns. You can see that this dataframe has three columns for phone numbers: Here are a couple of rows of an “untidy” dataframe. It can take on many different forms, but one common form involves having multiple columns for the same type of information. Each type of observational unit is a table.Data that is “tidy” follows these principles: "Tidy" is a term used to describe datasets that follow specific organizational principles. When your data is tidy, it’s easier to manipulate and transform your data, which makes your analysis more efficient.
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