This article only applies to movement data
This article is only relevant when working with movement data, not when working with time series data.
You can read more about the differences between the two in this article.
Some datasets contain records where one or more values are missing.
The platform has 2 strategies to deal with those missing values:
Leave the value missing: the record will be processed with the missing value (except when the missing value is a required property like for example the timestamp). This is the default behavior.
Copy the missing value from a previous record: the platform will try to find an earlier record with the same id where that value is available, and copy that value.
When you are creating or editing a data set, click the Configure Processing Settings button:
On this page, you can select which strategy to use.
You can always adjust the strategy
even when data has already been processed.
The only caveat is that adjusting the strategy requires the data set to be processed again. This takes some time.