The Ultimate CSV Profiling Tool
The CSV Analyzer provides deterministic, professional-grade profiling for any tabular dataset. Instead of manually inspecting rows or guessing data types, this skill automates the discovery of data structures, quality issues, and statistical distributions. It solves the common developer pain point of "dirty data" by identifying hidden corruption—like mixed numeric/text types or case-sensitivity issues—before they break your production pipelines.
What it does
- Auto-Detection: Instantly sniffs out delimiters (comma, semicolon, tab, pipe) and file encodings.
- Deep Quality Audit: Scans for high-severity issues like duplicate rows, polluted numeric columns, and hidden whitespace.
- Actionable Fixes: Every finding includes a copy-pasteable Pandas snippet to resolve the specific data issue.
- Interactive Visuals: Generates a self-contained Plotly HTML report with histograms, correlation heatmaps, and missingness bars.
- Scalable Analysis: Supports sampling modes for large datasets to keep performance snappy.
Why it's better than manual prompting
Generic AI prompts often hallucinate data distributions or fail to see the "tail" of a CSV file. This skill uses deterministic Python execution to provide ground-truth statistics. You get precise row counts, exact null percentages, and verified candidate keys that an LLM cannot accurately calculate just by "looking" at a file snippet.