Data Processing

Paste one or two columns of numbers and get the complete descriptive suite — mean/median/mode, sample and population variance, type-7 quartiles and percentiles, MAD, adjusted skewness and kurtosis, Tukey outliers — plus covariance, Pearson r, tie-corrected Spearman rho and least-squares regression for two columns.

Data Processing

Extract tables from PDFs with OpenDataLoader and export them as structured JSON, flat CSV, or HTML tables

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

Trace JSON field paths, derived dependencies, and transformation history to build a field-level lineage graph

Data Processing

Query JSON with JSONPath or JMESPath-style expressions, inspect matched paths, and highlight extracted values in the original document

Data Processing

Group items by a derived key using lodash _.groupBy

Data Processing

Join array items into a single string with a custom separator

Data Processing

Remove specific values from an array using lodash _.pull

Data Processing

Remove items that match a predicate using lodash _.remove

Data Processing

Reverse an array using lodash _.reverse

Data Processing

Compute the symmetric difference of arrays using lodash _.xor

Data Processing

Combine arrays by index using lodash _.zip