`spark_auto_mapper_fhir.value_sets.statistics_code`¶

Module Contents¶

`StatisticsCodeCode`	StatisticsCode
`StatisticsCodeCodeValues`	The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements

class spark_auto_mapper_fhir.value_sets.statistics_code.StatisticsCodeCode(value)¶

The statistical operation parameter -“statistic” codes.

Parameters: value (spark_auto_mapper.type_definitions.defined_types.AutoMapperTextInputType) –

codeset :spark_auto_mapper_fhir.fhir_types.uri.FhirUri = http://terminology.hl7.org/CodeSystem/observation-statistics¶

class spark_auto_mapper_fhir.value_sets.statistics_code.StatisticsCodeCodeValues¶

Average¶: The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Maximum¶: The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Minimum¶: The [number] of valid measurements over the stated period that contributed to the other statistical outputs. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Count¶: The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

TotalCount¶: The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Median¶: The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

StandardDeviation¶: The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Sum¶: The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Variance¶: The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

LowerQuartile¶: The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

UpperQuartile¶: The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

QuartileDeviation¶: The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Skew¶: Kurtosis is a measure of the “tailedness” of the probability distribution of a real-valued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis). From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml

Kurtosis¶: Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: [Wikipedia](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value. From: http://terminology.hl7.org/CodeSystem/observation-statistics in valuesets.xml