Handling missing data in time series

Hello !

I'd like to request a feature for time series in Label Studio : I'm labelling multivariate time series and sometimes there can be some null values in the data (when a sensor did not transmit any data at a given timestamp for example). The issue is that by default Label Studio display this missing value as a 0, thus abruptly breaking the trend of the time serie. For example below is an example with 20% missing values :

It would be perfect if we had an option to choose how we want null values to be shown : as zeroes or skipped entirely. To illustrate this, I've found that Google Data Studio proposes this feature, described in the section "missing data" here : https://support.google.com/datastudio/answer/7059697?hl=en. Currently, Label Studio behaves as the "Line to Zero" option, and the one I'm looking for is the "Linear Interpolation" one ("Line Breaks" would be fine too).

Thanks !