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6324개의 스킬

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6324개의 스킬

Matplotlib

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

K-Dense-AI18.8k

데이터 분석

Seaborn

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

K-Dense-AI18.8k

데이터 분석

Hypothesis Generation

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

K-Dense-AI18.8k

데이터 분석

Scientific Visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

K-Dense-AI18.8k

데이터 분석

Statsmodels

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.

K-Dense-AI18.8k

데이터 분석

Walmart Sales Analyzer

Analyze Walmart sales data to explore trends between store sales and unemployment rates. Generate insightful visualizations and a beautiful HTML report with deep analysis. Suitable for quick insights into the relationship between sales data and macroeconomic factors.

eosphoros-ai18.5k

데이터 분석

Matplotlib

Seaborn

Hypothesis Generation

Scientific Visualization

Statsmodels

Walmart Sales Analyzer

데이터 분석

Matplotlib

Seaborn

Hypothesis Generation

Scientific Visualization

Statsmodels

Walmart Sales Analyzer

Data Analyst

Data Analyzer

Report Writer

G2 Legend Expert

Campaign Analytics

Analyze

Data Visualization

Build Dashboard

Data Context Extractor

Create Viz

Financial Statements

Statistical Analysis

Variance Analysis

Hypothesis Formulation

Scientific Visualization

Data Analysis

Poi Discovery Briefing

Visualization Reporting

Understand Knowledge

Pandas Pro

Debugging Wizard

SQL Pro

Spark Engineer

Workspace Data Analyst