Data Analysis

中级data最低上下文：64K

Analyzes datasets to extract insights, identify patterns, and generate visualizations. Supports exploratory data analysis (EDA), statistical testing, trend detection, and report generation. Works with CSV, JSON, and database outputs.

data-analysisstatisticsvisualizationpandasedareporting

使用场景

  • Exploratory data analysis on new datasets
  • Statistical hypothesis testing
  • Generating Python/R analysis scripts
  • Creating data visualization code (matplotlib, plotly, d3)
  • Building automated reporting pipelines

示例提示词

Analyze this dataset and provide insights.

Data sample (first 10 rows):
```csv
[paste CSV data here]
```

Questions to answer:
1. What are the key distributions and summary statistics?
2. Are there any notable correlations between variables?
3. What outliers or anomalies exist?
4. What trends are visible over time?

Deliverables:
- Summary statistics table
- Python code for full EDA (using pandas + matplotlib)
- Key findings in plain language
- Recommended next steps for deeper analysis

推荐模型

claude-opus-4-6gpt-5gemini-2-5-pro

兼容工具

claude-codecursorgithub-copilotkiroany

模态

输入: text, code, file
→
输出: text, code

相关 Skills

sql-generationdocumentation-generator

作者

OpenModels Community

@openmodelsrun