Data Processing

Merge and join multiple tables with various join types (inner, left, right, full)

Data Processing

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

Data Analysis

Comprehensive normality testing using multiple statistical methods

Data Analysis

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

Comprehensive missing value detection, analysis, and intelligent handling with multiple strategies

Data Processing

Batch redact sensitive data from logs using configurable rules and multiple strategies

Data Processing

Parse Apache/Nginx access logs using regex patterns and extract structured data

Data Processing

Merge multiple markdown files with smart header level adjustment and table of contents generation

Data Analysis

Import created→started→resolved timestamps from CSV (Jira-style or simple) and get flow metrics the way agile coaches read them: lead/cycle time percentiles, WIP age, throughput per day/week/month, a cumulative flow diagram and a Little's Law consistency check.

Data Processing

Turn .ipynb into a # %% Python script and detect out-of-order, hidden, and deleted state

Data Processing

List own and inherited keys using lodash _.keysIn

Data Processing

List own enumerable keys using lodash _.keys