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

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Challenge: Producing bivariate visualizations for case study 1

Challenge: Producing bivariate visualizations for case study 1

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

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Challenge: Producing bivariate visualizations for case study 1

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(electronic music) - [Instructor] Okay, welcome to your next challenge. We're in the Titanic data set and we're going to do some bivariate analyses. So the first one we're going to do is a category and a category. Survived is a category, of course, so let's go ahead and pair it with the sex variable. Then for your next one, do survived and fare. Obviously then a category and a scale. Let's make the third one a little bit more interesting. Survived one more time, but parent/child. Look at it through the lens of scale and ordinal and see which one you think is more informative. One final condition. Since we're looking at relationships that might potentially work their way into the model, it will be safer if we look at only the train partition. I'll be working in KNIME. You're welcome to use any tool you like. If you, like me, are in KNIME, you're going to need a row filter to grab just that train partition. So to…

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