From the course: Data Science Foundations: Data Assessment for Predictive Modeling

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The Data Explorer node feature in KNIME

The Data Explorer node feature in KNIME

From the course: Data Science Foundations: Data Assessment for Predictive Modeling

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The Data Explorer node feature in KNIME

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- [Instructor] Okay, here I am in KNIME. All I have on the workflow is the census data set in its original form, being read in by an Excel reader. Be careful that you've declared that headers are present. I'm going to show the data set. Because this is important to verify, critical really for our task. You can see the little symbols here, I and S. Without them, the tool that we're going to use would not work it has to recognize whether it's integer or a string, because that signals level of measurement and KNIME. We'll close them. So to find the note that we need, type in explore, and you're going to find the Data Explorer, which is part of the KNIME labs. So if it's not coming up, you might have to install the extensions. Go up to file, install KNIME extensions, and you should be all set. But I already have it so I'm going to drag it over into place. And this is really one of the motivating reasons to show you…

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