Data frames in R - Getting a sense of your data

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Once we have our data, it would be good idea to know how to get a general sense of it. There are six essential functions we can use to grasp what we’re dealing with. These are the nrow(), ncol(), colnames(), rownames(), str(), and summary().

Nrow() gives us the number of rows our data has, not counting the column names. Respectively, ncol() provides us the number of columns.

Colnames() returns the variable names in a data frame.

Rownames() is the natural counterpart to colnames(), and returns the observation names in a data frame.

Str() gives you the compact version of your data structure. It really comes in handy when you want to have a quick look at your data and how it’s organised.

Summary() provides an excellent summary, of the object you pass into it. It is a bit more useful with numerical data, because it provides the essential summary statistics.

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