Chapter 6. Advanced Analytics Using Clustering

Wouldn't it be great if you could analyze your customers better, by classifying them into groups? Or perhaps even look at crime types in groups? Do you have problems with grouping large amounts of data in a meaningful way? On the flip side, do you have problems in distinguishing groups of data?

Data often has groups hidden in it. For example, we can group people by income, education, age, or where they live. We could also group people by their values, community involvements, family members, school membership, and other personal characteristics. We can find all sorts of insights by grouping our data together.

Tableau brings you good news! The clustering process just got much easier in Tableau 10. Tableau ...

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