Final answer:
The question pertains to performing a right join operation on two data frames or tables in a data analysis context, likely using a library such as pandas in Python. The operation will include all rows from the right table and the matching ones from the left, based on a common column.
Step-by-step explanation:
The portion of the question provided seems to reference a method of joining data in a programming or data analysis context. The syntax resembles a command you might see in a data manipulation library such as pandas in Python which is used for data analysis. The 'right' keyword indicates that a right join is being performed between two data frames or tables named adf and bdf. A right join operation means that all rows from the right data frame (bdf) will be kept, and matching rows from the left data frame (adf) will be included. The 'on' parameter specifies the column (col1) on which the join operation will be based. Only those rows that have the same values in the specified column will be merged together from both data frames.
The given syntax is not clear from which programming language it is taken. However, based on the syntax format, it seems to be related to programming and specifically, working with pandas library in Python.
The given code snippet might be using the function merge from the pandas library to merge the dataframes adf and bdf based on the right join and matching values in the 'col1' column. The result of this merge operation will be returned by this function.