From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Measures of spread

Measures of spread

From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Measures of spread

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- [Instructor] Measures of spread complement measures of centrality. Now, when we talk about spread, we want to know, if we're looking at a particular column or a variable, and we've got a set of different values, central tendency tells us, if we were to average them, where do they tend to fall from a central perspective? Another thing we want to know is, well, how far apart is the max and the min? Well, that particular measure of dispersion is the simplest of the measures of dispersion, and that's called the range. Now, sometimes we also want to know, where are most of the values falling? Now, we know, for example, mean and median will give us a good measure of central tendency. But then the interquartile range, or IRQ as it's often called, will show us the range of the middle 50% of the data. So we know range gives us the full from the max to the min, but if we look at just the middle 50% of the data that's closest to the central tendency, what does that look like? How far out from…

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