need help with comparing 2 different datasets imported from excel

[jagwanimanish]

Hi there,

I have 2 different data-sets that I have imported from excel. There are 2 columns in the data-sets namely 'owner' and 'account'. I need to run a query to to compare how many additional 'accounts' do all the owners have compared to the first data-set.

Name of the first set is AMRS_May19 and for the second is AMRS_Apr19. so basically I am comparing the data between 2 months and checking how many additional accounts did the owner get tagged to, I need to run this query for all owners and for one specific owner if required.

Really appreciate the help.

Regards

[annasophie]

You could just rename the account columns to "accountMay" and "accountApr" and then merge the dataframes by "owner". Then just add a column in which you calculate the difference between the account columns.

[andresrcs]

This can be done with the anti_join() function from dplyr package.

If you need more specific help, please provide a minimal REPRoducible EXample (reprex). A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…