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

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How to be effective in doing bivariate data visualization

How to be effective in doing bivariate data visualization

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

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How to be effective in doing bivariate data visualization

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- [Instructor] Okay, we're going to continue in Knime, same dataset, same workflow. Let me move this histogram out of the way. So we're going to move on to bivariate charts and visualizations. Now, the reason that we're doing this is that if we want to be thorough, we're going to look at every payer of variables. Now, naturally our focus is the target variable, but if we really want to do this right, we want to try to move quickly enough that we can fit every payer into our schedule, including the inputs against the inputs. We're going to spot things that we have to fix or spot patterns that we can capitalize on during modeling. So you have to live within the constraints of your software and Knime has suitable visualization, certainly, but not amazing. So I'm going to suggest that we just go with a cross tab here, 'cause we're not worried about it looking pretty. We want to get the information content and we want to do…

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