Struct RangeMetrics 

pub struct RangeMetrics {
    pub min: Point2D,
    pub max: Point2D,
    pub range: Decimal,
    pub quartiles: (Decimal, Decimal, Decimal),
    pub interquartile_range: Decimal,
}

Represents statistical and range-related metrics for a dataset.

RangeMetrics provides key statistical measures related to data ranges and distributions. This structure is particularly useful when analyzing numerical datasets from financial curves, scientific measurements, or computational geometry applications.

Fields

• min - The minimum point in the dataset, containing both x and y coordinates as the smallest values. This defines the lower boundary of the data range.

• max - The maximum point in the dataset, containing both x and y coordinates as the largest values. This defines the upper boundary of the data range.

• range - The numerical difference between the maximum and minimum values. Provides a simple measure of data dispersion or spread.

• quartiles - A tuple containing first quartile (Q1), median (Q2), and third quartile (Q3). These values divide the dataset into four equal parts, providing insight into data distribution.

• interquartile_range - The difference between the third and first quartiles (Q3 - Q1). A robust statistical measure of dispersion that is less sensitive to outliers than the full range.

Usage

RangeMetrics is typically calculated as part of a larger statistical analysis workflow. It provides essential information for box plots, outlier detection, and distribution analysis.

This structure is part of the curves analysis module that provides comprehensive statistical and financial analysis tools for mathematical curves.

Fields

min: Point2D

The minimum point in the dataset, containing the smallest x and y coordinates observed.

max: Point2D

The maximum point in the dataset, containing the largest x and y coordinates observed.

range: Decimal

The numerical difference between the maximum and minimum values, representing the total span of the data.

quartiles: (Decimal, Decimal, Decimal)

A tuple of three values representing the first quartile (Q1), median (Q2), and third quartile (Q3) of the dataset.

interquartile_range: Decimal

The difference between the third and first quartiles (Q3 - Q1), providing a measure of statistical dispersion that ignores extremes.

Trait Implementations

impl Clone for RangeMetrics

fn clone(&self) -> RangeMetrics

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl ComposeSchema for RangeMetrics

fn compose(generics: Vec<RefOr<Schema>>) -> RefOr<Schema>

impl Copy for RangeMetrics

impl Debug for RangeMetrics

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Display for RangeMetrics

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Serialize for RangeMetrics

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl ToSchema for RangeMetrics

fn name() -> Cow<'static, str>

Return name of the schema.

fn schemas(schemas: &mut Vec<(String, RefOr<Schema>)>)

Implement reference utoipa::openapi::schema::Schemas for this type.