R-Code - Check duplication of a text column

[daviddoan]

Hi everyone,
I am new to R and need to do my excersise as below:

1. I have a customer file: Code, Name, Address, etc...with ~ 500 records
2. In the Name column, there are some similar row such as Austern Keller, Austernkeller, Aussterkeller...
3. Then I need to know these rows that have the similar name
   Thank you
   David Doan

[andresrcs]

Hi David, welcome!

You can use the tidystringdist package, take a look at this similar thread.

Identifying Fuzzy Duplicates from a column

This would be one way to do it library(tidystringdist) library(tidyverse) # Sample data df <- data.frame(stringsAsFactors = FALSE, Name = as.factor(c(" CANON PVT. LTD ", " Antila,Thomas ", " Greg ", " St.Luke's Hospital ", " Z_SANDSTONE COOLING LTD ", " St.Luke's Hospital ", " CANON PVT. LTD. ", " SANDSTONE COOLING LTD ", " Greg ", " ANTILA,THOMAS ")), City = as.factor(c(" Georgia ", " Georgia ", " Georgia ", " Georgia ", " Georgia ", " Georgia ", " Georgia ", " Georgia ", " Georgia ", " Georgia ")) ) match <- df %>% tidy_comb_all(Name) %>% tidy_stringdist() %>% filter(so…

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.…

[daviddoan]

Hi Andresrcs,
thank you so much. I apply it to my scenario sucessfully. However, is there anyway to group similar rows together with a new column such as:
Name ID Group ID
Alster Au 19 1
AlsterAu 77 1
Aussterkeller 8 2
Austern Keller 44 2
Austernkeller 18 2

Thanks
David Doan