> For the complete documentation index, see [llms.txt](https://docs.nexthink.com/platform/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nexthink.com/platform/understanding-key-data-platform-concepts/nexthink-query-language-nql/nql-functions/nql-as.md).

# NQL as()

The `as()` function allows you to display the output from NQL queries in a formatted manner by assigning specific formatting information to the metrics. The Nexthink interface displays the data with the unit specified.​ The `as()` function is supported in the [list](/platform/understanding-key-data-platform-concepts/nexthink-query-language-nql/nql-keywords/nql-list.md) and [sort](/platform/understanding-key-data-platform-concepts/nexthink-query-language-nql/nql-keywords/nql-sort.md) clauses.

Example:

{% code overflow="wrap" lineNumbers="true" %}

```
devices
| summarize total_cost = count() * 2000
| list total_cost.as(format = currency, code  = USD)
```

{% endcode %}

<figure><img src="https://268444917-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxJSUDk9NTtCHYPG5EWs3%2Fuploads%2Fgit-blob-bc4497c8eed3f24a7c1a4ac122f1ef3160beedeb%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

Use the following formatting options:

<table data-full-width="true"><thead><tr><th width="113">Formatter</th><th width="180">Unit</th><th>Example query</th></tr></thead><tbody><tr><td>energy</td><td><p>Wh</p><p>kWh</p><p>MWh</p><p>GWh</p></td><td><pre data-overflow="wrap" data-line-numbers><code>device_performance.events during past 1d
| where device.operating_system.platform = macos
| where hardware.type == laptop
| summarize estimated_energy = ((8 * 0.070) * device.count())
| list estimated_energy.as( format = energy )
</code></pre></td></tr><tr><td>weight</td><td><p>g</p><p>kg</p><p>t</p><p>kt</p></td><td><pre data-overflow="wrap" data-line-numbers><code>devices
| where hardware.type = laptop or hardware.type = desktop
| summarize no_of_devices = (count()^1) * 422.5
| list no_of_devices.as( format = weight )
</code></pre></td></tr><tr><td>currency</td><td><p>Specify the currency using the additional <code>code</code> parameter.</p><p><code>CAD</code>: CA$</p><p><code>CHF</code>: CHF</p><p><code>GBP</code>: £<br><code>EUR</code>: €</p><p><code>USD</code>: $</p></td><td><pre data-overflow="wrap" data-line-numbers><code>devices
| summarize total_cost = count() * 2000
| list total_cost.as(format = currency, code  = USD)
</code></pre><pre data-overflow="wrap" data-line-numbers><code>devices
| summarize total_cost = count() * 2000
| list total_cost.as(format = currency, code  = EUR)
</code></pre></td></tr><tr><td>percent</td><td>%<br><br>To compute the percentage, the system multiplies the value by 100 and appends the % symbol. For example, a value of 0.47 is converted to 47%.</td><td><pre data-overflow="wrap" data-line-numbers><code>devices
| with execution.crashes
| summarize impacted_devices = countif(operating_system.name == "Windows 10 Pro 22H2 (66 bits)")/count()
| list impacted_devices.as(format = percent)
</code></pre></td></tr><tr><td>bitrate</td><td><p>bps</p><p>Kbps</p><p>Mbps</p><p>Gbps</p></td><td><pre data-overflow="wrap" data-line-numbers><code>connectivity.events during past 30d
| where primary_physical_adapter.type == wifi
| where wifi.signal_strength.avg &#x3C;= -67 or (context.device_platform == "macOD" and wifi.noise_level.avg >= -80)
| summarize average_receive_rate = wifi.receive_rate.avg()
| list average_receive_rate.as(format = bitrate)
</code></pre></td></tr></tbody></table>


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