From b6ceebae9c3e2696faeac6be73331456ab418619 Mon Sep 17 00:00:00 2001 From: Amirali Toori <103496001+AmiraliToori@users.noreply.github.com> Date: Mon, 1 Jul 2024 12:54:07 +0330 Subject: [PATCH] Add Article for 101-kurtosis.md in Data Science Road map (#5981) Add a link (article) that describes the topic of Kurtosis. --- .../102-distribution-shape/101-kurtosis.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/101-kurtosis.md b/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/101-kurtosis.md index 099fbcaf0..098a5bc01 100644 --- a/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/101-kurtosis.md +++ b/src/data/roadmaps/data-analyst/content/108-descriptive-analysis/102-distribution-shape/101-kurtosis.md @@ -1,3 +1,7 @@ # Kurtosis -Understanding distribution shapes is an integral part of a Data Analyst's daily responsibilities. When they inspect statistical data, one key feature they consider is the kurtosis of the distribution. In statistics, kurtosis identifies the heaviness of the distribution tails and the sharpness of the peak. A proper understanding of kurtosis can assist Analysts in risk management, outlier detection, and provides deeper insight into variations. Therefore, being proficient in interpreting kurtosis measurements of a distribution shape is a significant skill that every data analyst should master. \ No newline at end of file +Understanding distribution shapes is an integral part of a Data Analyst's daily responsibilities. When they inspect statistical data, one key feature they consider is the kurtosis of the distribution. In statistics, kurtosis identifies the heaviness of the distribution tails and the sharpness of the peak. A proper understanding of kurtosis can assist Analysts in risk management, outlier detection, and provides deeper insight into variations. Therefore, being proficient in interpreting kurtosis measurements of a distribution shape is a significant skill that every data analyst should master. + +Visit the following resources to learn more: + +- [@article@Kurtosis: Definition, Types, and Importance](https://www.investopedia.com/terms/k/kurtosis.asp)