Profile datasets by computing statistics, null rates, and distribution patterns.
npx skills add https://github.com/Srujan0798/NRG --skill explore-data-srujan0798
Please help me install this Agent Skill. Skill: explore-data Source: https://github.com/Srujan0798/NRG/tree/main/.agents/skills/explore-data Command: npx skills add https://github.com/Srujan0798/NRG --skill explore-data-srujan0798
Profiling and exploring a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.
Inspect a dataset by running the explore-data command on a connected table or uploaded file to generate a full profile.
High-intent search queries and answers about installing and using this skill.
To profile a dataset for data quality, run a profile command on your table or uploaded file. It computes row and column statistics, data types, null rates, cardinality, and distribution patterns, returning a structured summary that highlights anomalies and duplicates.
Yes, you can explore data in CSV, Excel, Parquet, and JSON files. The profiling tool analyzes uploaded files or data warehouse tables to compute statistics, detect suspicious values, and suggest follow-up analyses for analysts.
Data profiling is the process of examining a dataset to understand its shape, types, and patterns. You need it when encountering a new table or file, checking null rates and column distributions, or deciding which dimensions and metrics to analyze.
Yes, data profiling detects duplicates and outliers automatically. It scans your dataset to compute distribution patterns and returns a structured profile that highlights data quality issues and suspicious values for further investigation.
The best way to summarize column statistics for a new table is to generate a comprehensive data profile. It calculates row and column statistics, cardinality, null rates, and data types, providing a concise summary with recommended follow-up analyses.
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