UsagePattern
Params
name
A human readable description of the object.
usage_journey
An instance of UsageJourney.
devices
A list of Devices.
network
An instance of Network.
country
An instance of Country.
hourly_usage_journey_starts
Usage pattern hourly nb of visits, in hourly timeseries data.
Backwards links
Calculated attributes
utc_hourly_usage_journey_starts
Usage pattern utc in occurrence.
Example value: 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [6, 6, 1, 1, 7, 7, 1, 7, 9, 1],
last 10 vals [7, 1, 3, 1, 7, 5, 6, 3, 3, 4]
Depends directly on:
through the following calculations:
You can also visit the link to usage pattern UTC’s full calculation graph.
fabrication_impact_repartition_weights
Dictionary with Country as keys and Impact repartition weight as values, in dimensionless.
Example value: {
Country devices country (577263): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to Impact repartition weight’s full calculation graph.
fabrication_impact_repartition_weight_sum
ExplainableQuantity in dimensionless, representing the Sum of usage pattern fabrication impact repartition weights.
Example value: 1
Depends directly on:
through the following calculations:
You can also visit the link to Sum of usage pattern fabrication impact repartition weights’s full calculation graph.
fabrication_impact_repartition
Dictionary with Country as keys and Usage pattern fabrication impact attribution to devices country as values, in concurrent.
Example value: {
Country devices country (577263): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to usage pattern fabrication impact attribution to devices country’s full calculation graph.
usage_impact_repartition_weights
Dictionary with Country as keys and Impact repartition weight as values, in dimensionless.
Example value: {
Country devices country (577263): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to Impact repartition weight’s full calculation graph.
usage_impact_repartition_weight_sum
ExplainableQuantity in dimensionless, representing the Sum of usage pattern usage impact repartition weights.
Example value: 1
Depends directly on:
through the following calculations:
You can also visit the link to Sum of usage pattern usage impact repartition weights’s full calculation graph.
usage_impact_repartition
Dictionary with Country as keys and Usage pattern usage impact attribution to devices country as values, in concurrent.
Example value: {
Country devices country (577263): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to usage pattern usage impact attribution to devices country’s full calculation graph.