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---------

Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
skew The 'skew' documentation page explains how this concept can be utilized to measure asymmetry or distortion of a symmetric distribution, also describing usage and parameters in Python. It provides insights into how skewness measures deviation from a normal distribution, depicting either a right or left shift. Comprehensive visual aids are also given for clarification of the skewness concept.
skew
asymmetry measurement
distortion
symmetric distribution
normal distribution
skewness
random variable distribution
distribution deviation
right-skewed
left-skew

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Skewness is a measure of asymmetry or distortion of symmetric distribution. It measures the deviation of the given distribution of a random variable from a symmetric distribution, such as normal distribution. A normal distribution is without any skewness, as it is symmetrical on both sides. Hence, a curve is regarded as skewed if it is shifted towards the right or the left.

Usage

skew [-w N_WINDOW]

Parameters

Name Description Default Optional Choices
n_window window length 14 True range(5, 100)

skew