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filters

Sautner edited this page Mar 5, 2016 · 2 revisions

Right click on a data point to edit its properties. Among those properties are filter settings. Filters can be used to reject incoming values if they are not relevant. This is useful for ignoring those spikes in your data or ignoring repeated values.

If you have a sensor recording the same value every second for 24 hours, Nimbits can only record new data when the value changes. This means you only need to record a few values, instead of several thousand repeated values. Examples

  • Fixed Hysteresis: Value is +/- too small of a change from the last value to matter.
  • Percent Hysteresis: Value is +/- too small of a % change from the last value to matter.
  • Floor: Value must be above the filter setting to matter
  • Ceiling: Value must be below the filter setting to matter