Hello
I'm working on with two sets of data. Example is as below:
Data set 1
# | Name |
1 | ANG CHEE KIANG |
2 | ROSMALIZA BINTI MAZALAN |
3 | ABDUL B SAID |
4 | AMANDA LOH FOONG KIT (ABC) |
5 | KUMAR A/L CHADRAN |
Data set 2
# | Name_2 |
2 | ROSMALIZA BINTI MAZALAN |
4 | LOH FOONG KIT |
5 | KUMAR CHADRAN |
1 | ANG CHEE KIANG |
3 | ABDUL BIN SAID (DEF) |
I would like to determine if user 1 is the user 2. Kindly refer below for the expected results: I used join tool to solve for the first 2 scenarios. However, I'm trying to use fuzzy match tool for the rest of cases, but it did not capture all 3 users. Appreciate if someone can help me with this. Thank you
# | Name | Name_2 | same user? | Solution |
1 | ANG CHEE KIANG | ANG CHEE KIANG | Yes | Join tool |
2 | ROSMALIZA BINTI MAZALAN | ROSMALIZA BINTI MAZALAN | Yes | Join tool |
3 | ABDUL B SAID | ABDUL BIN SAID (DEF) | Yes | ? |
4 | AMANDA LOH FOONG KIT (ABC) | LOH FOONG KIT | Yes | ? |
5 | KUMAR A/L CHADRAN | KUMAR CHADRAN | Yes | ? |
Solved! Go to Solution.
let's say in each data set contains 1 different data that couldn't match. Is there a way to see it from fuzzy match tools? or to display the unmatched data?
Example additional data in set 1
6) Muhammad Ali
Example additional data in set 2
7) Lebron James
Non-matches will come out of the L and R outputs of the join after the fuzzy match.
User | Count |
---|---|
19 | |
14 | |
13 | |
9 | |
8 |