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numbers

Numbers

This file contains functions that are related to numbers.

sum

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Calculates the sum of an array of numbers.

Value

sum([1, 2, 3, 4, 5])

Result

sum(numbers: number[])

mean

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Calculates the mean of an array of numbers.

Value

mean([1, 2, 3, 4, 5])

Result

mean(numbers: number[])

average

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Calculates the mean of an array of numbers.

Value

average([1, 2, 3, 4, 5])

Result

average(numbers: number[])

margin

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Calculates the margin based on a percentage.

Value

Percent

margin(1234, 33)

407.22

Result

margin(value: number, percentage: number)

addMargin

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Adds the margin to the value.

Value

Percent

addMargin(1234, 33)

1641.22

Result

addMargin(value: number, percentage: number)

subtractMargin

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Subtracts the margin from the value.

Value

Percent

subtractMargin(1234, 33)

826.78

Result

subtractMargin(value: number, percentage: number)

addMarkup

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Adds the markup to the value.

Value

Percent

subtractMargin(1234, 33)

1641.22

Result

addMarkup(value: number, percentage: number)

subtractMarkup

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Calculates the markup based on a percentage.

Value

Percent

subtractMarkup(1234, 33)

927.82

Result

subtractMarkup(value: number, percentage: number)

median

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Calculates the median of an array of numbers.

Value

median(1,2,3,4,5)

Result

median(numbers: number[])

mode

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Calculates the mode of an array of numbers.

Value

mode(1,2,3,4,5)

Result

mode(numbers: number[])

min

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Finds the minimum value in an array of numbers.

Value

min(JSON.parse(value))

Result

min(numbers: number[])

max

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Finds the maximum value in an array of numbers.

Value

max(1,2,3,4,5)

Result

max(numbers: number[])

minMax

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Returns the minimum and maximum values in an array of numbers.

Value

minMax(1,2,3,4,5)

[ 1, 5 ]

Result

minMax(numbers: number[])

range

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Returns the difference between two values, expressed as a positive number.

Value

range([1, 2, 3, 4, 5])

Result

range(numbers: number[])

standardDeviation

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Returns the standard deviation of an array of numbers.

Value

standardDeviation([1, 2, 3, 4, 5])

1.4142135623730951

Result

standardDeviation(numbers: number[], options?: { method: 'sample' | 'population' })

skewness

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Returns the measure of asymmetry of the probability distribution of an array of numbers. The skewness value can be positive, zero, negative, or undefined.

Value

skewness([1, 4, 30])

3.0557739000180533

Result

skewness(numbers: number[])

Actions

JS karate chops

Data

Arrays and objects, oh my!