Querio
Analyze your data

Cells

The main types of cells Querio uses in the notebook.

Cells are the building blocks of a Querio notebook.

SQL cells

SQL cells query your connected datasource.

Use SQL cells to pull data, calculate metrics, join tables, and produce tables that other cells can use.

You can copy or download SQL results from the cell when you need to use the output outside Querio.

Python cells

Python cells let Querio transform data, run calculations, and prepare results that are easier to visualize or explain.

Python is useful when the analysis needs more than SQL, such as reshaping data, calculating derived metrics, or preparing chart inputs.

Markdown cells

Markdown cells are used for written explanations.

They help turn the notebook into something readable by adding context, summaries, caveats, and next steps.

Visualization cells

Visualization cells show charts generated from your data.

Use them to compare categories, show trends over time, inspect distributions, or explain a result visually.

You can copy or download chart data when you need to reuse the underlying result.