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)