> For the complete documentation index, see [llms.txt](https://docs.apica.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.apica.io/data-management/overview-1/visualizations/size.md).

# Size

A Size chart displays a single numeric value that represents a quantity, capacity, or data volume. It automatically formats values into human-readable units.

It’s designed to show values like:

* Data volume (GB, TB, PB)
* Storage capacity
* Byte counts
* Large numbers (millions, billions)

### What a Size chart represents

The Size tile shows:

`scaled value + unit`

The chart automatically converts raw values into the most readable unit.

<figure><img src="/files/3NpVtF4DfRft5jCmTqdh" alt="Example Size tile showing an auto-formatted value and unit"><figcaption><p>Example Size tile</p></figcaption></figure>

### Configure a Size chart

Set **Chart type** to **Size**. Set **Data type** to match the unit of your raw metric.

<figure><img src="/files/ZFArf0gy9uWiAfPZA4EF" alt="Size chart settings showing the Data type field" width="430"><figcaption><p>Size configuration</p></figcaption></figure>

### Size configuration options

| Option     | Purpose                                                    |
| ---------- | ---------------------------------------------------------- |
| Chart type | Must be **Size**.                                          |
| Data type  | Tells the system how to interpret and scale the raw value. |

#### Data type

This defines what kind of number your metric represents. It controls how the system scales and formats the value.

Available types:

* Storage capacity
* Number
* Bytes
* KB
* MB
* GB
* TB
* PB

{% hint style="info" %}
Key rules:

* Size uses one numeric value.
* Data type must match the raw metric unit.
* The system auto-converts:
  * Bytes → KB → MB → GB → TB → PB
  * Numbers → K → M → B
* No manual unit math required.
  {% endhint %}

### When to use Size

Use Size when your metric represents:

* Data volume
* Storage
* Throughput
* Any large numeric quantity

It’s perfect for daily GB ingested, log volume, disk usage, traffic size, and usage metrics.