August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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Matrix stats
This aggregation computes the numeric statistics on a set of given document fields, as shown in the following table:
| Statistics measure | Description |
| count | The number of samples measured. |
| mean | The average value of the field measured from the sample. |
| variance | How far the values of the field measured are spread out from its mean value. The larger the variance, the more spread from its mean value. |
| skewness | This describes the shape of the distribution. The asymmetry measure of the distribution of the field's values. |
| kurtosis | This describes the shape of the distribution. It measures the tail heaviness of the distribution. As the tail becomes lighter, kurtosis decreases. As the tail becomes heavier, kurtosis increases. ... |
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.