BenchmarkingModel Behavior With Missing Data

#1

What is the impact of missing data on BenchmarkingModel?

In the example below, I’m tracking daily temperature (in Fahrenheit) across facilities and am interested in the differences / impact that not having temperature data points would have on the Benchmarking Model.

Facility.evalMetricsWithMetadata({
ids: [“facility_ids”],
expressions: [“SimpleMetricSample”],
start: DateTime(‘2019-01-01’),
end: DateTime(‘2019-04-01’),
interval: “DAY”
},
[
SimpleMetric.make({
id: “SimpleMetricSample”,
name: “SimpleMetricSample”,
description: “Temperature Tracking”,
path: “weatherStation”,
tsDecl: {
data: “data”,
value: “temperature”,
treatment: “COUNT”,
start: “start”
},
srcType: “Facility”,
unit: {
id: “degrees_fahrenheit”
}
})
]
);

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