Advanced regression analysis tool for performing linear regression analysis, calculating regression statistics, and making predictions. Perfect for statistical modeling, trend analysis, forecasting, and understanding relationships between variables. Features: - Simple linear regression (y = mx + b) - Multiple linear regression support - Regression coefficients calculation - Statistical significance testing - R-squared and adjusted R-squared - Residual analysis and diagnostics - Prediction intervals and confidence intervals - Outlier detection in regression - Model validation metrics - Visual regression diagnostics - Data transformation support Common Use Cases: - Sales forecasting and trend analysis - Financial modeling and risk assessment - Scientific research and hypothesis testing - Quality control and process optimization - Marketing analytics and ROI analysis - Medical and biological research

Data Processing

Pull Values

Remove specific values from an array using lodash _.pull

Data Analysis

Outlier Detector

Detect outliers in numerical data using various statistical methods including IQR, Z-score, and modified Z-score

Data Processing

Object Key-Value Converter

Convert between different object key-value formats and manipulate object structures

Data Processing

PII Finder

Scan text/logs for potential PII (Personally Identifiable Information) and annotate positions and types for redaction and compliance checking

Data Analysis

Pivot Table Generator

Generate interactive pivot tables from CSV/JSON data with customizable row, column, and value field configurations

Data Analysis

Monte Carlo Simulation Builder

Define input distributions (normal/uniform/lognormal/triangular), write a formula, run thousands of trials, and get the output distribution histogram with confidence intervals.

Data Processing

Nth Item

Get the item at a specific index using lodash _.nth

Data Analysis

Number Range Statistics

Analyze and count numbers within specified ranges or intervals