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Add new characteristics to statistics integration (#22311)

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* Add new characteristics to statistics integration

* Fix typo

* Update statistics.markdown
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Thomas Dietrich 2022-05-05 11:21:46 +02:00 committed by GitHub
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@ -45,10 +45,12 @@ The following characteristics are supported for `sensor` source sensors:
| `average_timeless` | The average value of stored measurements. This method assumes that all measurements are equally spaced and, therefore, time is ignored and a simple average of values is computed. Equal to `mean`.
| `change_sample` | The average change per sample. The difference between the oldest and newest measurement is divided by the number of in-between measurements (n-1).
| `change_second` | The average change per second. The difference between the oldest and newest measurement is divided by seconds between them.
| `change` | The difference between the oldest and newest measurement stored.
| `change` | The difference between the oldest and newest measurement.
| `count` | The number of stored source sensor readings. This number is limited by `sampling_size` and can be low within the bounds of `max_age`.
| `datetime_newest` | The timestamp of the newest measurement stored.
| `datetime_oldest` | The timestamp of the oldest measurement stored.
| `datetime_newest` | The timestamp of the newest measurement.
| `datetime_oldest` | The timestamp of the oldest measurement.
| `datetime_value_max` | The timestamp of the numerically biggest measurement.
| `datetime_value_min` | The timestamp of the numerically smallest measurement.
| `distance_95_percent_of_values` | A statistical indicator derived from the standard deviation of an assumed normal distribution. 95% of all stored values fall into a range of returned size.
| `distance_99_percent_of_values` | A statistical indicator derived from the standard deviation of an assumed normal distribution. 99% of all stored values fall into a range of returned size.
| `distance_absolute` | The difference between the extreme values of measurements. Equals `value_max` minus `value_min`.
@ -70,7 +72,11 @@ The following characteristic are supported for `binary_sensor` source sensors:
| -------------------- | ----------- |
| `average_step` | A percentage of time across all stored measurements, in which the binary source sensor was "On". If over the course of one hour, movement was detected for 6 minutes, the `average_step` is 10%.
| `average_timeless` | The percentage of stored measurements, for which the binary source sensor was "On". Time in on/off states is ignored. If over the course of one hour, a single movement was detected, the `average_timeless` is 33.3% (assuming the stored measurements "Off", "On", "Off"). Equal to `mean`.
| `count` | The number of stored source sensor readings. This number is limited by `sampling_size` and can be low within the bounds of `max_age`.
| `count` | The number of stored source sensor readings.
| `count_on` | The number of stored source sensor readings with the value "On". Be aware that only value changes are registered by default, except if the source sensor has the property `force_update`.
| `count_off` | The number of stored source sensor readings with the value "Off". Be aware that only value changes are registered by default, except if the source sensor has the property `force_update`.
| `datetime_newest` | The timestamp of the newest measurement.
| `datetime_oldest` | The timestamp of the oldest measurement.
| `mean` | The percentage of stored measurements, for which the binary source sensor was "On". Time in on/off states is ignored. If over the course of one hour, a single movement was detected, the `average_timeless` is 33.3% (assuming the stored measurements "Off", "On", "Off").
## Attributes