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Releases: MAGA2010/data-master

data-master v0.3.0

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@github-actions github-actions released this 20 Oct 12:33

data-master v0.3.0

This release makes reports easier to share and expands the public evidence for
ambiguous and survey-shaped data.

Highlights

  • Every full and profile-only analysis now includes a self-contained HTML report.
  • A date-versus-number benchmark proves ambiguous values are held instead of guessed.
  • A synthetic survey case study covers labelled categories, missing-value codes and zero-padded identifiers.
  • Rank-based omnibus tests now include a bootstrap interval for epsilon squared.
  • Report language is derived from the observed results and no longer upgrades null findings.
  • Distribution validation now includes macOS with Python 3.13.
  • The full install, analysis and verification path was independently exercised in ZCode 3.14.4 on Windows.

Quick start

npm install -g github:MAGA2010/data-master#v0.3.0
data-master setup
data-master skill install
data-master demo --out outputs/first-demo

The release includes a Python wheel, npm tarball, portable .skill archive and
SHA-256 checksums. See the repository README for the evidence contract and
supported inputs.

data-master v0.2.0

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@github-actions github-actions released this 19 Oct 10:21

data-master v0.2.0

The first public release turns a raw dataset into a reproducible Markdown and
PDF report with an inspectable evidence trail.

Highlights

  • Unit-aware group comparisons avoid counting repeated rows as independent samples.
  • Cleaning plans preserve raw inputs, record every conversion and replay byte-for-byte.
  • Sensitivity analysis and an eight-gate audit keep uncertainty and unresolved decisions visible.
  • Resume verifies artifact hashes and rebuilds stale downstream stages.
  • Windows and Linux CI cover Python 3.11–3.13.
  • Install the CLI from GitHub through npm or a Python wheel.
  • Install the Codex skill with data-master skill install.

Quick start

npm install -g github:MAGA2010/data-master#v0.2.0
data-master setup
data-master skill install
data-master demo --out outputs/first-demo

The release includes a Python wheel, an npm tarball, a portable .skill
archive and SHA-256 checksums. See the repository README for supported inputs,
current limitations and the full evidence contract.