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In the Insights -> Time Series Graph, only groups with data points in them create a new point in the graph.
Therefore, when there are no items in a group, the graph (for stepline curves) just stays at the level of the last group that had data. This is very misleading for many usecases and the value should drop to 0 for these groups.
Example:
We try to visualize occurence of certain events, but the same goes for any example with sparse data.
This graph contains 5 events: 3 at the beginning and then after a few minutes 2 more events 1 minute apart. The precision is set to minutes. This is what I get:
It looks like there are 3 events every minute until it drops to 1 event per minute. (and a graph with that data would be indistinguishable)
This is what I would expect this graph to look like:
This would represent the actual data way better.
The text was updated successfully, but these errors were encountered:
Describe the Improvement
In the Insights -> Time Series Graph, only groups with data points in them create a new point in the graph.
Therefore, when there are no items in a group, the graph (for stepline curves) just stays at the level of the last group that had data. This is very misleading for many usecases and the value should drop to 0 for these groups.
Example:
We try to visualize occurence of certain events, but the same goes for any example with sparse data.
This graph contains 5 events: 3 at the beginning and then after a few minutes 2 more events 1 minute apart. The precision is set to minutes. This is what I get:
It looks like there are 3 events every minute until it drops to 1 event per minute. (and a graph with that data would be indistinguishable)
This is what I would expect this graph to look like:
This would represent the actual data way better.
The text was updated successfully, but these errors were encountered: