Hi everyone!
I hope this message finds you well. I'm currently working on a data processing task using Alteryx, and I'm seeking your expertise to help me with a specific challenge. Here's the scenario:
I have a dataset containing survey responses (1-5), from multiple universities over several years. In the dataset, there are null values in the "response-value" column that I'd like to fill using the Multi-Row Formula tool.
How should I go forward to fill in the NULL-Values?
This is a sample of how my data looks like now. (In my dataset, I have 10 indexes (mean of all survey-responses, in the same category), for 30 universities)
Year | Uni_name | Study_program | Uni_location | Uni_ID | Observation | Value |
2020 | A | A | London | 1 | Total_students | 100 |
2020 | A | B | London | 1 | Q1 | 4 |
2020 | A | C | London | 1 | Q2 | 2 |
2021 | B | A | Manchester | 2 | Total_students | 200 |
2021 | B | B | Manchester | 2 | Q1 | |
2021 | B | C | Manchester | 2 | Q2 | 2 |
2022 | C | A | London | 3 | Total_students | 150 |
2022 | C | A | Manchester | 3 | Q1 | |
2022 | C | B | London | 3 | Q2 | 2 |
Hi,
Take a look at the Imputation Tool under the Preparation folder. It can fill Nulls with a few different options.
Regards.
Not sure what you're trying to do @MagicT
What do you want to replace the nulls / empty records with?
Without using the multi-row tool, you can just filter out the nulls or emptys with
IsNull([Value])
OR
IsEmpty([Value])
From there, whatever you filter out can be fixed accordingly, then reintegrated back into your dataset.