[GitHub] [superset] michael-s-molina edited a comment on pull request #13802: feat: don't return empty time-series

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michael-s-molina edited a comment on pull request #13802:
URL: https://github.com/apache/superset/pull/13802#issuecomment-808185276


   I think that zero and null values may or may not be important for a chart 
depending on the context. 
   
   Let's imagine a chart with the number of daily deaths by Covid:
   
   <img width="814" alt="Screen Shot 2021-03-26 at 9 24 08 AM" 
src="https://user-images.githubusercontent.com/70410625/112631007-1dc77380-8e15-11eb-9632-e9f9cf34b703.png";>
   
   - The first example (gap) could demonstrate how the null values influenced 
the data, clearly indicating to the user that some days could not be processed.
   - The second example (zero) could demonstrate that no deaths occurred on a 
specific day.
   - The third example would be the chart ignoring nulls and zeros.
   
   As we can see the information can be very different. I think this behavior 
should be configurable through filters, calculated metrics, or some feature 
like the one we have in Excel:
   
   <img width="328" alt="Screen Shot 2021-03-26 at 9 33 49 AM" 
src="https://user-images.githubusercontent.com/70410625/112632083-69c6e800-8e16-11eb-99e0-f61719ff63bb.png";>
   
   I think the same principle is applicable to bar charts, area charts, etc 😉 
    


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