From the course: Machine Learning and AI Foundations: Clustering and Association
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Interpreting a box plot
From the course: Machine Learning and AI Foundations: Clustering and Association
Interpreting a box plot
- [Instructor] We're going to pause for a moment in our discussion of cluster analysis to do a little skill building. We're going to be looking at what's called box and whisker plots, or just box plots a lot. I want to make sure that we're practiced at interpreting them. A tiny bit of history, the whole idea of a box plot dates all the way back to that late 70s in a book that a gentleman by the name of John Tukey wrote called Exploratory Data Analysis. The whole nature of the book is too 70s to be worth reading now, but it's an important book and it's influenced the way that we do graphics and no matter what tool you use, you're almost certainly going to have a way of doing box plots. Learning how to interpret them, it's a very powerful way to look at the entire distribution of your data in one graphic. Let's start walking through how this works. First, if you look down at the shaded region, the black horizontal bar is the median, so that's the midpoint of our data. Now of course the…
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Contents
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How does k-means work?2m 3s
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Which variables should be used with k-means?2m 46s
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Interpreting a box plot6m 49s
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Running a k-means cluster analysis3m 28s
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Interpreting cluster analysis output5m 42s
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What does silhouette mean?2m 20s
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Which cases should be used with k-means?4m 44s
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Finding optimum value for k: k = 35m 7s
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Finding optimum value for k: k = 45m 51s
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Finding optimum value for k: k = 55m 3s
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What the best solution?3m 56s
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