Skills
.Work. You
Rest

missing-data

Community

Smart missing-data handling and imputation.

Data & Analytics#data-cleaning#imputation#statistical-analysis#missing-data#mcar#mar#mnar
Authorsencersoylu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Missing data handling and principled imputation to enable valid analyses across datasets with incomplete records.

Core Features & Use Cases

  • Detect missing data patterns (MCAR/MAR/MNAR) and assess their impact
  • Apply imputation strategies (mean/median/mode, regression-based, multiple imputation)
  • Integrate into statistical analyses, ML pipelines, and data cleaning workflows
  • Use Case: Prepare datasets with missing values for regression or machine learning models

Quick Start

Assess the missing-data mechanism in your dataset (MCAR/MAR/MNAR) and apply an appropriate imputation method to prepare analysis-ready data.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: missing-data
Download link: https://github.com/sencersoylu/scholar-flow/archive/main.zip#missing-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.