exploratory-data-analysis · seb1n/awesome-ai-agent-skills
Profile a new dataset before modeling or analysis
Systematically explores a tabular dataset's shape, data quality, distributions, correlations, and outliers, then summarizes the findings and suggests next steps. Useful for understanding an unfamiliar dataset before building models or reports.
Good for
- Profile a new dataset's structure and quality
- Find correlations and outliers in tabular data
- Summarize distributions before building a model
- Source repository
- seb1n/awesome-ai-agent-skills
- Category
- Research
Open-source skills are maintained by their authors and listed as published, with attribution. Results depend on how well the skill fits your task and material.
A good place to start
Run an exploratory analysis on this CSV and summarize data quality, distributions, and outliers.
Make your next great thing.
Bring a question, a file, or an idea that’s not quite there yet.