The Alteryx Community is a finalist in three 2026 CMX Awards! Help us win Customer Support Community, Most Engaged Community, and User Group Program of the Year - vote now! (it only takes about 2 minutes) before January 9.
ACT NOW: The Alteryx team will be retiring support for Community account recovery and Community email-change requests Early 2026. Make sure to check your account preferences in my.alteryx.com to make sure you have filled out your security questions. Learn more here
Start Free Trial

Practice Exercise

Learning Path 1: Exercise 2: General

Herbee
5 - Atom

here is my  answer for the practice 2 

divvya
5 - Atom

-

FabiolaS2025
6 - Meteoroid

Exercise 2 solved

RuchikaW
5 - Atom

The approach for the Exercise 2 is as follow:

 

1. Union - To extract data from two dataset without duplicates

2. Text 2 Column- For 3rd dataset, I choose text 2 Column to convert the data into 5 different columns with separator

3. Select tool: Here I changed the column names and deselect the unwanted one.

4.Join tool: Now I join 3 datasets using Join but here we get the duplicates

5. Select tool: So I use Select tool to get joined data in a same place.

6. Unique tool: As we select the unique tool, it removed the duplicates and we get our required data.

MartinMcG01
5 - Atom

I used the union tool to blend the data vertically. Then unique to remove duplicates.

I used text to columns to split the data into 4 rows and i used the select function to rename the rows. 

I used the join to combine the user details using customer ID. 

SoniyaDosani
5 - Atom

Exercise 2

ESmith98
5 - Atom

Learning Path 1: Exercise 2: General

marusik
5 - Atom

Thank you!

kyannbrown
6 - Meteoroid

Exercise Two

annikapu
6 - Meteoroid

done!