statistical-distribution-and-outlier-analysis

What problem does it solve?

This Skill enables users to analyze the statistical distribution of numerical data and identify anomalies or outliers, facilitating data quality assessment and decision-making.

Core Features & Use Cases

• Distribution Visualization: Generate boxplots and histograms to visually assess data spread and identify skewness or kurtosis.
• Outlier Detection: Apply IQR-based algorithms to detect and report abnormal data points.
• Use Case: For a dataset of sensor measurements, quickly identify unusual readings that may indicate sensor faults or environmental anomalies.

Quick Start

Load your numeric dataset and run the script to produce distribution plots and outlier reports without manual data preprocessing.