Missing data handling in time series charts

Missing data in time series charts is indicated by either a gap or a straight line, depending on the amount of data missing.

If the difference between two consecutive data points in the time series is greater than 2.5 times the granularity (or polling interval for raw data), the chart displays a gap in the data. For example, if data is collected every minute and there is a gap of 3 minutes (that is, three missing data points), then the gap is indicated by a break in the chart.

If the difference between two consecutive data points in the time series is less than or equal to 2.5 times the granularity (or polling interval for raw data), the chart draws a straight line between the valid data points on each side of the missing data points. For example, if data is collected every minute and there is a gap of 2 minutes (that is, two missing data points), then the gap is represented by a straight line between the last and next available data points.

The missing data handling criterion of 2.5 times the granularity (or polling interval for raw data) is not user configurable.