moai-domain-data-science

What problem does it solve?

This Skill provides expert guidance for comprehensive data science workflows, from data analysis and visualization to statistical modeling and reproducible research. It addresses challenges in data manipulation, model building, and ensuring research integrity, helping you derive insights and build robust data-driven solutions.

Core Features & Use Cases

• Data Analysis (Python): Guides through using pandas, numpy, and scipy for data manipulation and numerical computing.
• Data Analysis (R): Provides expertise in tidyverse (dplyr, ggplot2) and data.table for high-performance data manipulation.
• Reproducible Research: Integrates practices like Jupyter notebooks, R Markdown, and version control for transparent and verifiable research.
• Use Case: When you need "데이터 분석" (data analysis) or "통계 모델링" (statistical modeling) for a new dataset, this skill offers the necessary guidance.

Quick Start

Ask to "데이터 분석" for a new dataset, and the skill will guide you through exploratory data analysis with pandas and visualizations.