Data Analysis

Analyze and count numbers within specified ranges or intervals

Data Analysis

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

Data Processing

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

Data Processing

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

Data Processing

Paste multiple number combinations and find which numbers repeat across the whole set, with occurrence counts and group positions.

Data Processing

Preview JSONata-style queries and transformations, compare results across sample payloads, and export the transformed output as JSON, CSV, YAML, or Markdown

Data Processing

List own and inherited keys using lodash _.keysIn

Data Processing

List own enumerable keys using lodash _.keys

Data Processing

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

Data Processing

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

Data Processing

Convert flattened key-value pairs back to nested JSON objects with support for different key formats and data type inference

Data Processing

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