R Studio - Dplyr Function to Merge Dataframes with multiple keys

Publié le: 01 janvier 1970
sur la chaîne: Mukesh Singh

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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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