data-explorer

SKILLWorkflowcommunauté
v1.0.0communityMITMis à jour il y a 6 moisSource →

Systematic dataset analysis: schema inspection, data quality, distribution, correlations, and findings with numbers.

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
22Étoiles
3Clients
2Formats
il y a 6 moisDernière mise à jour
Skill
Auteurcommunity
Version1.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md, system-prompt
PromptNon publié
Compatibilité
Claude✓ Pris en charge
Cursor
Copilot
ChatGPT✓ Pris en charge
Gemini✓ Pris en charge
À propos

Approaches unknown datasets in five structured phases: schema inspection, data quality analysis (nulls, cardinality), distribution analysis (histograms, outliers), relationship discovery (correlations, group-bys), and findings reported with concrete numbers — never vague adjectives.

Cas d’usage
Data analysisEDAData qualityBusiness intelligence
Mots-clés
data-analysisedastatisticsdata-qualitypandas