From 54459a52f258133113adc44e07aa7fb86441ae9d Mon Sep 17 00:00:00 2001 From: Amirali Toori <103496001+AmiraliToori@users.noreply.github.com> Date: Mon, 1 Jul 2024 12:52:44 +0330 Subject: [PATCH] Add an article to Data Science roadmap about Skewness concept (#5982) This is a simple and useful article, which I think might be very useful for understanding the concept of skewness. --- .../102-distribution-shape/100-skewness.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/100-skewness.md b/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/100-skewness.md index 5114949bd..51425cf94 100644 --- a/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/100-skewness.md +++ b/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/100-skewness.md @@ -1,3 +1,7 @@ # Skewness -Skewness is a crucial statistical concept driven by data analysis and is a significant parameter in understanding the distribution shape of a dataset. In essence, skewness provides a measure to define the extent and direction of asymmetry in data. A positive skewness indicates a distribution with an asymmetric tail extending towards more positive values, while a negative skew indicates a distribution with an asymmetric tail extending towards more negative values. For a data analyst, recognizing and analyzing skewness is essential as it can greatly influence model selection, prediction accuracy, and interpretation of results. \ No newline at end of file +Skewness is a crucial statistical concept driven by data analysis and is a significant parameter in understanding the distribution shape of a dataset. In essence, skewness provides a measure to define the extent and direction of asymmetry in data. A positive skewness indicates a distribution with an asymmetric tail extending towards more positive values, while a negative skew indicates a distribution with an asymmetric tail extending towards more negative values. For a data analyst, recognizing and analyzing skewness is essential as it can greatly influence model selection, prediction accuracy, and interpretation of results. + +Visit the following resources to learn more: + +- [@article@Skewed Data](https://www.mathsisfun.com/data/skewness.html)