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When doing a PIE chart one really expect a breakdown that will sum up to 100% of the documents considered.
This is not the case if one decides to "split slices" using e.g. "TOP 4 TERMS" and .. the terms that are actually in the data are more than 4.
E.g. lets assume the data is
Italy 50 docs
France 50 docs
Germany 50 docs
USA 50 docs
Canada 49 docs
Russia 49 docs
Chosing "Top 4 Terms" to slice a pie would show a pie divided in 4 equal slices, which is misleading to a regular user.
Would it be possible to add a "have a All the Rest bucket" to the "Top X" aggregation (e.g. via a checkbox "also have a "all the rest" bucket")?
In this case the visualization above would look like 4 equal pies (italy france germany usa) and a bigger slice "all the rest" approximately of 1/3 of the total.
this would be very useful for all visualizations really but invaluable for Pie charts (And bar/line charts with breakdown but .. where the total really matters)
thanks
The text was updated successfully, but these errors were encountered:
When doing a PIE chart one really expect a breakdown that will sum up to 100% of the documents considered.
This is not the case if one decides to "split slices" using e.g. "TOP 4 TERMS" and .. the terms that are actually in the data are more than 4.
E.g. lets assume the data is
Italy 50 docs
France 50 docs
Germany 50 docs
USA 50 docs
Canada 49 docs
Russia 49 docs
Chosing "Top 4 Terms" to slice a pie would show a pie divided in 4 equal slices, which is misleading to a regular user.
Would it be possible to add a "have a All the Rest bucket" to the "Top X" aggregation (e.g. via a checkbox "also have a "all the rest" bucket")?
In this case the visualization above would look like 4 equal pies (italy france germany usa) and a bigger slice "all the rest" approximately of 1/3 of the total.
this would be very useful for all visualizations really but invaluable for Pie charts (And bar/line charts with breakdown but .. where the total really matters)
thanks
The text was updated successfully, but these errors were encountered: