Manipulating data
Before you can extract some information from your data, you need to understand how the data is stored. First, you need to understand data structures in R.
Scalars and vectors are the most basic data structures. In R terminology, you analyze a dataset. A dataset consists of rows with cases or observations to analyze and columns representing the variables or attributes of the cases. This definition of a dataset looks like a SQL Server table. However, R does not work with tables in the relational sense. For example, in a relational, the order of rows and columns is not defined. In order to get a value, you need the column name and the key of the row. However, in R, you can use the position of a cell for most of the data structures. ...
Get SQL Server 2016 Developer's Guide now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
