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

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Solution: Producing bivariate visualizations for case study 1

Solution: Producing bivariate visualizations for case study 1

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

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Solution: Producing bivariate visualizations for case study 1

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(upbeat music) - Okay. I'm a anime with the Titanic dataset and I've created a new workflow just for our challenge and solution. So as mentioned, we should be looking at only the training partition. So I've added a row filter and I've got column to test partition, use pattern matching train. Okay. So that will be just our train partition. I've also added a number to string conversion here because in Titanic Survived as ones and zeros, and it's going to get all mixed up. I want to make sure it treats it as a category and not as a scale. Okay. So we're ready to go. First one is a category by a category. So I'm going to use a Crosstab, here it is. And I'm going to make Survived my row and Sex my column. No, Weight available Click on Okay. Execute and Open Views. And it looks like about two thirds of the passengers were men. So we would expect the two thirds of the survivors and two thirds of those that died…

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