eda-reports

Generate deterministic EDA charts and summaries from tabular inputs.

Updated May 17, 2026
One-click install
npx skills add https://github.com/cheetah-alo/NegritaOS --skill eda-reports
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eda-reports
Source: https://github.com/cheetah-alo/NegritaOS/tree/main/.codex/skills/eda-reports
Command: npx skills add https://github.com/cheetah-alo/NegritaOS --skill eda-reports

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

EDA and reporting workflows often end up scattered across notebooks, producing inconsistent metrics and non-reproducible charts that are hard to review, test, and govern.

Core Features & Use Cases

  • Deterministic EDA workflow: Converts loaded tabular data into explicit metrics, then renders summaries and charts through reusable helpers.
  • Clear entry points and boundaries: Uses notebook and pipeline entry points while keeping reusable reporting logic out of notebook cells.
  • Governed persistence of artifacts: Saves charts and outputs into the repository’s defined output locations to support traceability.
  • Use Case: When updating analytics reporting, run the workflow to recompute metrics, regenerate deterministic chart artifacts, and add test coverage for reusable analytics helpers.

Quick Start

Use the eda-reports skill to update chart generation and deterministic report artifacts for changes in backend analytics helpers and notebook-driven EDA workflows.

Frequently Asked Questions about eda-reports

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate deterministic EDA reports with reproducible charts from tabular data?

Deterministic EDA reports are generated by loading tabular inputs, computing explicit metrics, and rendering charts through reusable helpers, ensuring consistent and reproducible outputs for your tabular data.

Why do my notebook-driven EDA workflows produce inconsistent metrics and non-reproducible charts?

Notebook-driven EDA workflows produce inconsistent metrics when reporting logic is scattered across cells. Enforcing deterministic, named functions and keeping reusable logic out of notebook cells resolves this inconsistency.

How to persist EDA chart artifacts and reporting outputs into a governed repository structure?

To persist EDA chart artifacts and reporting outputs, save generated charts and summaries into the repository's defined data_analytics/output and output directories, supporting traceability and governed persistence.

Does this approach require test coverage for reusable analytics helpers used in KPI reporting?

Yes, updating analytics reporting requires test coverage for reusable analytics helpers. The workflow enforces deterministic, named, testable functions to compute KPIs and generate finance reporting charts.

What is the best way to enforce clear entry points and boundaries in pipeline execution for EDA?

The best way to enforce clear boundaries in pipeline execution for EDA is using notebook and pipeline entry points while keeping reusable reporting logic separated from notebook cells.

Can I use this deterministic analytics workflow for both notebook exploration and backend pipeline execution?

Yes, this deterministic analytics workflow applies to both notebook-driven exploration and backend pipeline execution, recompute metrics, regenerate chart artifacts, and modifying analytics helpers.