exploring-data
SolidExploratory data analysis. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Small files get ydata-profiling HTML/JSON reports; large files (over 200MB or 5M rows) get fixed-memory DuckDB/sketch profiling. Also covers near-duplicate row detection, cross-file key overlap ("can these join?"), dataset drift vs a stored baseline, and time-series profiling.
Install
Quality Score: 84/100
Skill Content
Details
- Author
- oaustegard
- Repository
- oaustegard/claude-skills
- Created
- 10 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
data-analysis
Профилирование датасета (CSV или JSON-массив объектов): типы полей, статистика (count/unique/missing, min/max/mean/std), мода и топ-N значений, гистограмма 5 корзин для чисел, топ-3 парные корреляции Пирсона, аномалии и рекомендации. Скрипт data_analyze.py читает --input и выводит отчёт в markdown (по умолчанию), JSON или HTML с графиками. Триггеры: 'data analysis', 'анализ данных', 'профиль датасета', 'статистика данных', 'dataset анализ', 'почитать данные', 'data profiling', 'разведочный анализ', 'eda'.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.