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Missing values and Data Table #4760
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It sounds like you are looking for #1961 Is that the case? |
Thanks for your answer, If Kibana or ES don't be able to detect missing values, this is a big loss. The advantage of NoSQ db, is to allow us to have rows whose structure can be different and therefore missing values for columns that are not specified. Should I infer that i must replace all missing values by some thing? |
Well, there are ways to see how many documents do not have a value for a specific field, but the purpose of the terms aggregation is to show you the top terms, nothing else. Consider turning your terms aggregation into a filter aggregation, and then filter on the rows you expect, maybe:
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Tnaks for your answer ... I agree that it meets the need but this only an example to illustrate my problem. Rather than the field "od_sexe" (where valuers filtering can be enumerable), Imagine another field "city" for example, where the possible range of values can be very large. I think, we agree, that the solution below is not suitable. PS: in the example above, I use the way "Terms aggragation" to generate a "data Table" that looks like Excel (name, sex, birth day, city, ...etc). I have not found another way to do it ... |
is there any idea for fields of type date that contains null values (vs enumerable fields)? |
As noted, this is a duplicate of #1961 |
Hi,
In Kibana, when I add a field with missing values to a "data table", a curious behavior occurs :
the rows that contains missing values disappear from the table data.
Would you have any idea to solve this problem?
Example :

After

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