R Studio - Dplyr Function to Merge Dataframes with multiple keys

In this tutorial, we will learn "How to use dplyr Function to Merge Dataframes with multiple keys" in R programming.

Advantages to dplyr over base R merge function for joining data dplyr always preserves the row order dplyr has much more intuitive syntax dplyr can be applied to databases, or spark dplyr is a front end language for manipulating data that can be converted to multiple back-ends like SQL or spark. This is pretty useful. Everything we cover in this class could work on a spark dataframe or a SQL table

Keys The Primary key needs to be unique in a table The foreign key in the second table can be duplicated second table will be matched to the primary table based on the primary key The primary key may be one, two or even more columns in the table

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