From the course: SPSS: Data Visualizing and Data Wrangling

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Recoding by ranking cases

Recoding by ranking cases

From the course: SPSS: Data Visualizing and Data Wrangling

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Recoding by ranking cases

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- [Instructor] One of the most intrusive, disturbing things that can happen in data analysis is outliers. These are extreme values on a high end or a low end because they throw off things like the mean, and they throw off correlations, they throw off regression coefficients. Outliers occur in real life, but if you're not aware that they're there in your data, you can have problems. And so you need to both be aware that they're there and have some way of dealing with them, and ranking, which is very easy to do in SPSS, is one way to deal with that. I want to start by looking at some of the Google Trends search terms that we have. Now, right here it just says gt01, but that's for data science, gt02 is for artificial intelligence and so on. Let's take a look at these 15 terms to see if we have outliers in the data. We'll do this by doing side-by-side boxplots. It's a nice way to look at things when you've got a bunch of different variables. I'm going to do Simple and Summaries of…

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