Dashboards Classic
To visualize your query results as a table, one metric per column, select Table from the list above the query definition, in the upper-left corner of the page.


When switching between visualizations, be aware that some visualization settings are visualization-specific.

Your visualization can show any selection of metrics in a multi-metric query.
To toggle metrics on and off, you can select the letter next to the metric you want to visualize, or you can select the eye icon .

By default, Data Explorer tables are sorted by the first metric in the table query (in descending order based on the aggregation chosen).
To sort a Data Explorer table by a different column, you need to change the column order.
Locate the metric by which you want to sort the table.
Drag Drag handle that metric to the top position in the query definition.
Run the query.
The table will be sorted by the metric you dragged to the first place in the query definition.
To set the sort order
If Sort by is not already displayed for the metric, select and then select Sort by from the list.
Set Sort by to the dimension by which you want to sort.
Select the sort order: ASC (ascending) or DESC (descending).
The Settings section is one of the expandable sections in the right panel of Data Explorer. The contents of the Settings section may vary depending on the visualization you have selected.

The fold transformation combines a data points list (a timeseries: a collection of data points over the time period) into a single data point.
Fold transformation and resolution
Be aware that the Fold transformation setting affects the resolution.
If Fold transformation is set to Auto for visualization Table, Single value, Top list, or Honeycomb, the Inf (infinity) resolution is used to maintain backward compatibility. If the chosen metric selector doesn't support the Inf resolution, the fold transformation is automatically added to the end of the query.
If Fold transformation is set to a value other than Auto, fold is used.
Because all metric selectors are queried using the same total value mechanism (either fold or Inf), adding a new selector that requires fold might change the result of the other selectors.
To inspect the actual query used by Data Explorer, go to the Result section in Data Explorer and select > Copy request.
Table column names are the same as the metric names by default. You can change the name of table column headings. The query definition retains the metric's original name.
To rename a column

Use the Unit and Format settings to determine how your data is displayed. If you export to a CSV file, the Unit and Format settings are also reflected in the exported values.
Use the Unit setting to set the unit in which the metric is displayed.
(<unit>) to select from a wider range of units.| Notation | Factor | Meaning |
|---|---|---|
| k | 10^3 | kilo, thousand |
| M | 10^6 | mega, million |
| G | 10^9 | giga, billion |
| T | 10^12 | tera, trillion |
Use the Format setting to configure the number of decimal places displayed for the selected metric.
None = No formatting.
Auto = DESK selects an appropriate format. For example, where None would display 5.062357754177517 %, Auto would display 5.06 %.
Other selections specify the number of decimal places to display: 0, 0.0, 0.00, 0.000
When the basic unit of the metric is bytes:
A byte-based unit can have either a binary or decimal base, which will determine whether DESK selects, for example, GiB or GB. If no base is defined in the metric itself, a decimal base is used.
If the automatically selected unit isn't suitable in your case, you can force DESK to express the same values in a specific unit (Unit = B, KiB, MiB, or GiB).
If you want to see raw data (no conversion), you can set Unit to None and see the results in the basic unit of the metric (which in this case is bytes).
When the basic unit of a metric is dollars and cents:
When the basic unit for the metric is a count:
Set Unit to Auto
Set Format to None
To see a rough count:
When setting threshold values:
Use the checkboxes in the Columns section of the Data Explorer table visualization to enable and disable columns individually. These selections are reflected in the resulting table dashboard tiles.
In Data Explorer, a maximum of 100 results are returned.
To set an explicit limit
In a dashboard table tile, the maximum number of rows displayed is determined by the query limit set in Data Explorer. Results are displayed in pages on the tile.
Use the controls at the bottom of the Result section of a Data Explorer table visualization to page through tables.
Table dashboard tiles also have page controls.
The page size of a table dashboard tile is automatically resized to match the size of the tile.
To enhance your visualizations, you can set thresholds that are reflected in your visualization.
A table can have as many thresholds as there are metrics displayed on the table. This example has five metrics, five columns, each with a different threshold definition. Link cell color to thresholds is turned on.

Tile text color is adjusted automatically for contrast with the background threshold color.
To make per-metric threshold settings

When this is turned off, only the cell data is colored.
Make per-metric threshold settings.
Select a metric name



Select Add threshold as needed to add thresholds for another metric.

To hide or show threshold colors (per threshold definition) without deleting the threshold settings, in the Thresholds section, select for that metric.

To delete the threshold settings for a metric, in the Thresholds section, select the trash can icon for that metric.

If series data is absent for a metric expression, see Why is the result of my metric expression empty?.
The root cause of this issue is often the same as for Why am I not seeing all series of my metric?
The metric series are limited to a certain number.
Suppose you query builtin:host.cpu.usage and builtin:host.cpu.idle split by dt.entity.host. For both metrics, the top 100 hosts are requested per default. But the top 100 hosts of the builtin:host.cpu.usage metric probably diverges from the top 100 hosts of the builtin:host.cpu.idle metric, leading to empty cells in the table for some hosts.