From the course: Data Science Foundations: Data Assessment for Predictive Modeling
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How to uncover the gross properties of the data
From the course: Data Science Foundations: Data Assessment for Predictive Modeling
How to uncover the gross properties of the data
- [Instructor] Okay, we're back in the CRISP-DM document. You know, far too few look over this document carefully enough to discover that the real heart of the document is part three, the user's guide. That's where the phases in the tasks are discussed in greatest detail. So of course it begins with the first phase but let's advance in the document to the data understanding phase. And we discover that it begins here on 37. But let's further proceed to the second task. And here it is, describe data. With that phrase that I love, examine the gross properties of the acquired data. So let's take a closer look at what it has to say about describe data. The first topic this section discusses is what it calls the volumetric analysis of data. If you're looking in unusual places as I recommend, sometimes you'll get data directly from the subject matter expert and not via the data warehouse. So it really is important to document…
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