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assessment-python-data-cleaning-beginner

Evaluate beginner Python pandas data cleaning submissions against a grading rubric.

Updated Apr 15, 2026
Search Tags:#pandas#assessment#rubric#beginner#grading#data-cleaning#retail-dataset
One-click install
npx skills add https://github.com/YangYuS8/dev-2026-grading --skill assessment-python-data-cleaning-beginner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: assessment-python-data-cleaning-beginner
Source: https://github.com/YangYuS8/dev-2026-grading/tree/main/.opencode/skills/assessment-python-data-cleaning-beginner
Command: npx skills add https://github.com/YangYuS8/dev-2026-grading --skill assessment-python-data-cleaning-beginner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill standardizes the grading of beginner Python data cleaning submissions by providing a clear rubric, evaluation steps, and a consistent feedback structure.

Core Features & Use Cases

  • Provides a rubric covering data loading, cleaning completeness, date handling, summary statistics, and documentation.
  • Guides graders through a deterministic review of student repos that read a retail dataset, clean it with pandas, and export results.
  • Use case: a TA quickly assesses 20+ student submissions against the rubric and outputs per-subject scores.

Quick Start

Run the evaluation workflow on a student repository to produce a per-submission scorecard.

Frequently Asked Questions about assessment-python-data-cleaning-beginner

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

FAQPage Schema
How do I grade beginner Python data cleaning submissions with pandas consistently?▼

To grade pandas data cleaning submissions, apply a rubric covering data loading, deduplication, removal of invalid rows, date conversion, summary statistics output, and documentation validation to produce a per-submission scorecard.

What is included in a rubric for evaluating a student retail dataset cleaning project?▼

A rubric for a retail dataset cleaning project assesses data loading with pandas, deduplication, removal of invalid rows, date conversion, cleaned data export, summary statistics output, and documentation validation.

Can I use this assessment workflow for student repos that only perform data deduplication and date conversion?▼

Yes, the assessment evaluates repos performing deduplication and date conversion, but also checks data loading, removal of invalid rows, cleaned data export, summary statistics, and documentation to calculate a complete score.

How do I automate scoring for multiple beginner Python data cleaning assignments?▼

Automate scoring for multiple assignments by running a deterministic evaluation workflow on each student repository, applying a predefined grading rubric to output a per-submission scorecard for the class.

Does the data cleaning grading rubric check for pandas summary statistics output and data export?▼

Yes, the grading rubric explicitly checks for pandas summary statistics output and the export of cleaned data, alongside data loading, cleaning completeness, date processing, and documentation validation.

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