🎯

data-cleaning

🎯Skill

from pluginagentmarketplace/custom-plugin-data-analyst

What it does

Cleans and preprocesses datasets by handling missing values, detecting outliers, removing duplicates, and normalizing data across multiple tools.

📦

Part of

pluginagentmarketplace/custom-plugin-data-analyst(7 items)

data-cleaning

Installation

Add MarketplaceAdd marketplace to Claude Code

/plugin marketplace add pluginagentmarketplace/custom-plugin-data-analyst

Install PluginInstall plugin from marketplace

/plugin install data-analyst-roadmap@pluginagentmarketplace-data-analyst

git cloneClone repository

git clone https://github.com/pluginagentmarketplace/custom-plugin-data-analyst.git

Claude CodeAdd plugin in Claude Code

/plugin load .

📖 Extracted from docs: pluginagentmarketplace/custom-plugin-data-analyst

Need more details? View full documentation on GitHub →

1Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

Data cleaning, preprocessing, and quality assurance techniques

Overview

# Data Cleaning Skill

Overview

Master data cleaning and preprocessing techniques essential for reliable analytics.

Topics Covered

Missing value handling (imputation, deletion)
Outlier detection and treatment
Data type conversion and validation
Duplicate identification and removal
String cleaning and normalization

Learning Outcomes

Clean messy datasets
Handle missing data appropriately
Detect and treat outliers
Ensure data quality

Error Handling

| Error Type | Cause | Recovery |

|------------|-------|----------|

| Memory error | Dataset too large | Use chunking or sampling |

| Type conversion failed | Invalid data format | Apply preprocessing first |

| Encoding issues | Wrong character encoding | Detect and specify encoding |

| Validation failure | Data doesn't meet schema | Review and adjust validation rules |

Related Skills

programming (for automation)
foundations (for data quality concepts)
databases-sql (for SQL-based cleaning)

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