messydata
Generate realistic messy datasets with configurable anomalies
All Skills in This Repository (1)
Pure Emerald Level IndicatorsFrequently Asked Questions
FAQPage SchemaHow to install MessyData?โผ
Run `npx skills add sodadata/messydata --all -g -y` in your terminal to install this skill globally.
How to generate synthetic dirty data for testing?โผ
Define your columns and distributions in a YAML config, then run the generate command to get a messy dataset with missing values, duplicates, and outliers injected automatically.
What anomalies can MessyData inject?โผ
It supports missing values, duplicate rows, invalid categories, invalid dates, and statistical outliers, each with configurable probability and rate.
Does MessyData work with Claude Code?โผ
Yes. The included SKILL.md teaches your agent to write and validate configs from plain-English requests, then run the CLI to produce the data file.
Can I generate date-aware daily data?โผ
Yes. Mark one field as temporal and use single-date or date-range modes to generate realistic day-by-day data, ideal for simulating daily pipeline runs.
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