Data Profiler

Point it at a CSV, TSV, or Parquet file and get an instant picture of what is inside, without writing a line of SQL.

What you can do

• Read per-column stats: type, null percentage, distinct count, and min / max / mean / std / median for numeric columns
• See a histogram for every numeric column, and a top-value bar chart for categorical and date columns
• Spot relationships between columns in a Pearson correlation heatmap
• Jump straight to the full SQL workbench for the same file when you want to dig deeper

Requirements

• The DuckDB extension, installed and enabled — the profiler runs on its engine, so there is no second engine to install
• Parquet files need the desktop app. CSV and TSV work in the browser too, and charts render in the desktop app

Getting started

Right-click a data file in the explorer and choose Open with → Data Profiler.