“data analysis”

Frame analytical questions, chart directions, metrics, and reproducible data work products.

Análisis estadístico de datasets con Pandas y NumPy — explora, correlaciona, testea hipótesis y extrae conocimiento no obvio.

数据解读与分析 — 统计方法、趋势分析、透视汇总、结论输出规范

Economic data-analysis discipline.

当需要数据清洗、统计分析、趋势识别时使用。提供系统化的数据分析方法论。

Analyze user behavior patterns through quantitative data to validate hypotheses and discover product growth drivers.

Analyze data using Python scripts for calculations, visualizations, and data processing.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data…

验证溢出是否成立，计算排队比、饱和度、绿灯利用率等核心指标。Use when phase is data_analysis_diagnosis.

Patterns for using Claude inside the analysis pipeline — interpreting statistical results in natural language, classifying free text, detecting semantic…

Execute complete, rigorous data analysis workflows from problem understanding through validated results delivery.

Performs bounded, local exploratory analysis of explicitly supported scientific files.

Biến kết quả phân tích dữ liệu bằng Python (pandas, matplotlib) thành báo cáo Word - bảng thống kê, biểu đồ, nhận định, khuyến nghị.

Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots…

Perform bounded, local exploratory analysis of explicitly supported scientific files.

Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels.

Data analysis across SQL, visualization, statistics, and reporting.

Data analysis skill for data cleaning, statistical modeling, transformation scripts, and generating analytical insights.

Expert-level Data Analyst skill covering SQL analysis, Python/pandas data manipulation, statistical analysis, A/B test design and interpretation, business…

Trigger: When user asks about data analysis, EDA, ML, data science, or needs a senior data professor.

Use this skill when you need to analyze test-data prerequisites, relationships, privacy, lifecycle, and environment blockers before test design or generation…

Advanced data analysis, pattern detection, and insight generation from structured and unstructured datasets.

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF.