Our indices have missing values from time to time, and when that happens, what I’d like to see in date histogram plots is to simply ignore missing values and connect the lines before and after. Please see this example plot:
The way that I’ve been getting around this is to increase the time interval:
But is there in fact a way native in Kibana to handle this?
Although this question is specific to Kibana, I am also interested in knowing if there are any internal “smoothing / auto-averaging” flags when constructing the aggregations in Elastic Search. We usually use Kibana to pre-visualize what we want to output, but eventually write a program to do the visualizations.
At the moment, we work around this by processing the data after we have gotten the aggregated results. But if there is in fact a way for ES to handle it natively it would save a lot of post-processing time.