# Area Charts

{% tabs %}
{% tab title="Stacked area" %}

##                                   Stacked area

Stacked area charts can be rendered by stacking measures or small multiple dimensions.

### Chart setup for a stacked measure chart

1\. **Axis**

     \- Drag a dimension to plot on the axis (e.g., Month).

2. **Values parameter**

     \- Drag measures to analyze (e.g., 2024 Plan, 2024 Actuals, 2023 Plan, 2023 Actuals, 2022 Actuals).

3. **Chart type**

     \- Select **Stacked area** from the Area section of the Chart Type dropdown menu.

> Compare the total values of multiple data series at each point in time. Explicit measure configuration is not required.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FJxk3KlRm5LjPeOHYFVsO%2Fimage.png?alt=media&#x26;token=b1b455b2-033f-489c-8481-5f0c75b538ac" alt=""><figcaption><p>Stacked measure chart</p></figcaption></figure>

### Chart setup for a stacked dimension chart

1. **Axis**

&#x20;       \- Drag a dimension to plot on the axis (e.g., Month).

2. **Values parameter**

&#x20;       \- Drag measures to analyze (e.g., 2024 Actuals).

3. **Small multiples parameter**

&#x20;        \- Drag the dimension to create stacked categories (e.g., Sub Region).

4. **Chart type**

&#x20;       \- Select **Stacked area** from the Area section of the Chart Type dropdown menu.

> Show how different components (in this case, sub-regions) contribute to the overall trend over time. Map the Sub Region dimension to the Legend data well.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FpIebYMxJC83JOdJY5cCA%2Fimage.png?alt=media&#x26;token=8b3a12db-e6e7-49f2-a0a3-0f0b2c182492" alt=""><figcaption><p>Stacked dimension chart</p></figcaption></figure>
{% endtab %}

{% tab title="Cluster area" %}

## &#x20;                       Cluster area

Cluster area charts can be rendered with measures or small multiple dimensions. Unlike stacked area charts, each chart in a cluster starts from 0.&#x20;

### Chart setup for a cluster measure chart

1. **Axis**

&#x20;       \- Drag a dimension to plot on the axis (e.g., Month).

2. &#x20;  **Values parameter**

&#x20;       \- Drag measures to analyze (e.g., 2024 Plan, 2024 Actuals, 2023 Plan, 2023 Actuals, 2022 Actuals).

3. **Chart type**

&#x20;       \- Select **Cluster area** from the Area section of the Chart Type dropdown menu.

> Clustered area charts can highlight both differences and similarities between categories or groups. Viewers can observe how the areas within each cluster vary in size and shape, indicating differences in data values, while also noting similarities in the overall trends. Explicit measure configuration is not required.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FEwCRsnNl5OF0WOA7RM3F%2Fimage.png?alt=media&#x26;token=a85a82c4-cd1e-4280-9a4a-0b003248cf65" alt=""><figcaption><p>Cluster measure chart</p></figcaption></figure>

### Chart setup for a stacked dimension chart

1. **Axis**

&#x20;       \- Drag a dimension to plot on the axis (e.g., Month).

2. **Values parameter**

&#x20;       \- Drag measures to analyze (e.g., 2024 Actuals).

3. **Small multiples parameter**

&#x20;        \- Drag the dimension to create stacked categories (e.g., Sub Region).

4. **Chart type**

&#x20;       \- Select **Cluster area** from the Area section of the Chart Type dropdown menu.

> Show how different components (in this case, sub-regions) contribute to the overall trend over time. Map the Sub Region dimension to the Legend data well.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FoA9xtCtAyhkTYXaFHhUi%2Fimage.png?alt=media&#x26;token=9e54c09a-83c3-4023-af7e-e7651ced0289" alt=""><figcaption><p>Cluster area</p></figcaption></figure>
{% endtab %}

{% tab title="100% stacked area" %}

## &#x20;                   100% stacked area

### Chart setup&#x20;

1. **Axis**

&#x20;       \- Drag a dimension to plot on the axis (e.g., Month).

2. &#x20;  **Values parameter**

&#x20;       \- Drag measures to analyze (e.g., 2024 Plan, 2024 Actuals, 2023 Plan, 2023 Actuals, 2022 Actuals).

3. **Chart type**

&#x20;       \- Select  **100% stacked area** from the Area section of the Chart Type dropdown menu.

> 100% stacked charts provide a consistent scale for comparison across different categories, regardless of the absolute values, by normalizing the data to 100%.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FCcF2gI7Jf17XohO6RWQ0%2Fimage.png?alt=media&#x26;token=e0c4e089-c7c4-45ae-a47f-68a86c334157" alt=""><figcaption><p>100% stacked area chart</p></figcaption></figure>
{% endtab %}
{% endtabs %}

{% tabs %}
{% tab title="Base area" %}

## &#x20;                                 Base area

### Chart setup&#x20;

1. **Axis**

&#x20;       \- Drag a dimension to plot on the axis (e.g., Month).

2. &#x20;  **Values parameter**

&#x20;       \- Drag measures to analyze (e.g., 2024 Actuals, 2024 Plan).

3. **Chart type**

&#x20;       \- Select  **Base area** from the Area section of the Chart Type dropdown menu.

> Base area charts depict the variations of a particular measure with the high-performing portions in green and the low-performing portions in red.&#x20;

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2F3Qe1AYx8VuB6TBfNHlrM%2Fimage.png?alt=media&#x26;token=a841bf5c-7ee6-4a9b-b8a4-e062d07b363c" alt=""><figcaption><p>Base area chart</p></figcaption></figure>
{% endtab %}

{% tab title="Variance area" %}

## &#x20;                             Variance area

### Chart setup&#x20;

1. **Axis**

&#x20;       \- Drag a dimension to plot on the axis (e.g., Month).

2. &#x20;  **Values parameter**

&#x20;       \- Drag measures to analyze (e.g., 2024 Actuals, 2024 Plan).

3. **Chart type**

&#x20;       \- Select  **Variance area** from the Area section of the Chart Type dropdown menu.

> Variance area charts depict the variances between two measures, with the positive variance in green and the negative variance in red.&#x20;

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FxCYIU4s36F8nP2qUB73Q%2Fimage.png?alt=media&#x26;token=f28cc692-3cb2-4716-bbc3-aa9269f6e512" alt=""><figcaption></figcaption></figure>
{% endtab %}
{% endtabs %}

## Additional formatting options

Here are the other settings that help you refine your area chart.

<table><thead><tr><th width="143.5">Feature</th><th>Description</th><th data-type="content-ref">Link</th></tr></thead><tbody><tr><td>Number</td><td>Configure number formatting (decimals, units)</td><td><a href="../working-with-analytics+/3.-charts/3.8.-display-settings-for-charts/charts-number-settings">charts-number-settings</a></td></tr><tr><td>Legend</td><td>Show/hide and customize the legends</td><td><a href="../working-with-analytics+/3.-charts/3.8.-display-settings-for-charts/charts-legend-settings">charts-legend-settings</a></td></tr><tr><td>Data Label</td><td>Show exact values for each data point</td><td><a href="../working-with-analytics+/3.-charts/3.6.-data-label-customizations">3.6.-data-label-customizations</a></td></tr><tr><td>Trellis</td><td>Create small multiples using category split</td><td><a href="../working-with-analytics+/6.-trellis-customizations">6.-trellis-customizations</a></td></tr><tr><td>Conditional Formatting</td><td>Apply color rules to highlight values</td><td><a href="../working-with-analytics+/9.-conditional-formatting">9.-conditional-formatting</a></td></tr><tr><td>Sorting</td><td>Sort axis order</td><td><a href="../working-with-analytics+/10.-sort-and-reorder-data/sorting-data">sorting-data</a></td></tr><tr><td>Ranking</td><td>Limit to top/bottom N categories</td><td><a href="../working-with-analytics+/11.-ranking-data-topn/ranking-for-charts">ranking-for-charts</a></td></tr></tbody></table>