> ## Documentation Index
> Fetch the complete documentation index at: https://docs.k16solutions.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Inspect results and charts

> Search query results, inspect cells and columns, and visualize returned data in a worksheet.

After a worksheet query finishes, use the result tabs to validate both the data and the query's behavior.

## Results

The **Results** tab displays returned rows in a table. Use **Search rows…** to filter the displayed rows without rerunning the query.

You can:

* sort a column;
* drag columns into a different order;
* pin a column left or right;
* resize or auto-fit a column;
* copy a cell value;
* copy a row as JSON.

The footer distinguishes displayed rows from the total returned row count. A `NULL` value is different from an empty string or zero.

<Tip>
  Verify primary identifiers and grouping columns before interpreting calculated values. Unexpected
  duplicates often point to an incorrect join or grain.
</Tip>

## Chart

The **Chart** tab suggests a chart when the result includes compatible dimensions and measures.

* A date column with numeric values can produce a line chart.
* A category column with numeric values can produce a bar chart.
* Numeric x and y values can produce a scatter chart.

Choose the chart type, x-axis column, and one or more numeric series. Select the no-chart option when a table communicates the result more clearly.

If the tab shows **Not enough data**, rerun a query that returns at least one useful category or date column and one numeric measure. If it shows **No chart data**, first confirm that the query returned rows without an error.

## Inspector

Use **Inspector** to examine the selected cell, its row, column statistics, and query metadata. This is useful for long values that are truncated in the table and for quick checks of nulls or numeric ranges.

The inspector can show:

* the full selected value and row JSON;
* row and displayed-row counts;
* column data type and summary statistics;
* the query statement handle when available.

## Validate a result

Before you save or publish the query:

1. Confirm the result grain and key columns.
2. Compare the row count with a known baseline.
3. Inspect nulls, minimums, maximums, and category values.
4. Check that filters use the intended dates and time zone.
5. Verify that sensitive values are masked as expected for your role.
6. Run the full SQL after any selection-only test.

For downloads and query failures, see [Export and troubleshoot worksheets](/datax/analytics/export-and-troubleshoot).