From the course: Introduction to Machine Learning with KNIME

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Clean data with the Missing Value node

Clean data with the Missing Value node - KNIME Tutorial

From the course: Introduction to Machine Learning with KNIME

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Clean data with the Missing Value node

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- [Instructor] Moving on to a new task, the clean data task of the data preparation phase, starting with row filter, but then also talking about the Missing Values node. So we're on the missing data theme. I'm going to go ahead and remove the Row Sample node. We can keep the Equal Size Sampling for now, certainly. And I'm going to go ahead and type on row, and actually a number of things come up. Here we go. We've got row filter, but again, once more, we have a bunch of different choices. We're just going to go with a standard one. And one of the things that we can do with row filter, very easily, that keeps us on the data cleaning theme, is I can say that only missing values match, specifically on the age variable. I know that the age variable has more than 100 missing cases, and I can either include only missing. Let's take a look. I actually want to make quick note of this error because this will happen to you sometimes. If you view the table before you've executed, this is what…

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