From the course: Data Science Foundations: Data Assessment for Predictive Modeling
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Challenge: Identifying the level of measurement
From the course: Data Science Foundations: Data Assessment for Predictive Modeling
Challenge: Identifying the level of measurement
(upbeat electronic music) - [Instructor] Welcome to your first challenge. This challenge is going to be very straightforward. You simply have to make note of the level of measurement of each of these columns. First, a little bit about the data set. This is the famous Titanic data set. You can find this version of it in the originals folder. So something to make note of, if you've encountered the Titanic data set before, this might be a little bit different than what you're familiar with, because it's both the train and test partitions. Normally during data understanding, we're looking at all the data, not only the train partition. So there's a new column, column M here, that designates whether it's train or test. That's obviously a binary variable, so don't really worry about that for the purpose of the challenge. And then your target variable here is complete only for the train data and not for the test data, which…
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Contents
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Reviewing basic concepts in the level of measurement3m 15s
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What is dummy coding?2m 31s
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Expanding our definition of level of measurement5m 44s
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Taking an initial look at possible key variables2m 51s
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Dealing with duplicate IDs and transactional data3m 49s
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How many potential variables (columns) will I have?4m 53s
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How to deal with high-order multiple nominals2m 30s
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Challenge: Identifying the level of measurement1m 39s
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Solution: Identifying the level of measurement3m 59s
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