Data Analysis

OrtadataEn az 64K bağlam

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

Kullanım alanları

  • 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

Örnek prompt

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

Önerilen modeller

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

Uyumlu araçlar

claude-codecursorgithub-copilotkiroany

Modaliteler

Giriş: text, code, file
→
Çıkış: text, code

İlgili Skills

sql-generationdocumentation-generator

Yazar

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