December 2017
Intermediate to advanced
434 pages
10h 29m
English
Another common scenario is when we want to segment or slice the data into various buckets based on a numeric field. For example, we may want to slice the product data by different price ranges such as up to $10, $10 to $50, $50 to $100, and so on. You may want to segment the data by age group, employee count, and so on.
We will look at the following aggregations in this section:
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