# Scatter/Bubble Charts

{% tabs %}
{% tab title="Bubble chart" %}

## &#x20;                       <mark style="color:$success;">**Bubble chart**</mark>

#### **Chart setup to build a bubble chart:**

|                      |                                                                                  |
| -------------------- | -------------------------------------------------------------------------------- |
| **Axis**             | Drag the dimension to plot on the axis (e.g.,Sub Category).                      |
| **Values parameter** | Drag multiple measures to compare (e.g., 2024 Actuals, 2024 Plan, 2023 Actuals). |
| **Chart type**       | Select Bubble from the Chart Type dropdown menu.                                 |

> Bubble charts are particularly useful for datasets with a large number of data points, where the size of the bubbles can provide additional information about the data. The 2024 Actuals and 2024 Plan provide the x and y positions for each product subcategory. The 2023 actuals determine the size of each bubble.

<figure><img src="https://inforiver.gitbook.io/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252Ft3Z3nApYVtxJ38UcIgkb%252Fimage.png%3Falt%3Dmedia%26token%3Dd2b5482a-73c9-4689-97bd-293c4f7c8850&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=10c60afd604c7ec5198756464e9369f439314b606eea00419cc5ef9cb40d2841" alt=""><figcaption><p>Bubble chart</p></figcaption></figure>

The x-axis and y-axis settings are identical for bubble charts.

### **1. Small multiples for bubble charts** <a href="#id-1.-small-multiples-for-bubble-charts" id="id-1.-small-multiples-for-bubble-charts"></a>

Unlike other charts, adding a small multiple parameter to a bubble chart will not create a trellis. Analytics+ automatically maps small multiple parameters to the legend data well.

<figure><img src="https://inforiver.gitbook.io/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252F9xPzE97njwtU15fhjHxQ%252Fimage.png%3Falt%3Dmedia%26token%3D669fbc6b-8e4c-4eb9-b41a-eaf9e4b79fc2&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=86c044729772b3b622ca00cb61e2181286901185fda801f6e01da85e1d0fc393" alt=""><figcaption><p>Small multiples for bubble charts</p></figcaption></figure>

You can assign different markers to identify each small multiple category.

<figure><img src="https://inforiver.gitbook.io/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FpmiJrH1v8SisHz8NBWE6%252Fimage.png%3Falt%3Dmedia%26token%3D16b55b51-bacb-45b8-8dea-bd077fd9216d&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=ec43512b18d1e2e538867d052a61d063f2a33bf867c3147c96912d4ff2ff8b44" alt=""><figcaption><p>Category markers for bubble charts</p></figcaption></figure>

### **2. Analytics for bubble charts** <a href="#id-2.-analytics-for-bubble-charts" id="id-2.-analytics-for-bubble-charts"></a>

**2.1. Reference lines**

For bubble charts, horizontal reference lines are plotted based on the y-axis measure, and vertical reference lines are plotted based on the x-axis measure.

<div><figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FxGEcjGuM6se1p5BYoJRi%2Fimage.png?alt=media&#x26;token=43d4e391-9f18-478b-9dd3-e555539a5839" alt=""><figcaption><p>Horizontal reference line</p></figcaption></figure> <figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FP45dmQYQ8vYdn6HOPVLr%2F2024-05-16_16h55_19.png?alt=media&#x26;token=19fcf24c-3501-45db-aa12-fbea7df42ae3" alt=""><figcaption><p>Vertical reference line</p></figcaption></figure></div>

**2.2. Reference bands**

Like reference lines, horizontal reference bands are plotted based on the y-axis measure, and vertical reference bands are plotted based on the x-axis measure.

<div><figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FQIxKFvtvEqWHVlXm5SvR%2Fimage.png?alt=media&#x26;token=5c657dca-91e3-4ceb-b066-f8eb4ddbd6d9" alt=""><figcaption><p>Horizontal reference band</p></figcaption></figure> <figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FvhLPfzrqjKOocn6OMmNk%2F2024-05-16_17h17_54.png?alt=media&#x26;token=9b7d5476-271b-4a15-b400-fef9d028bf81" alt=""><figcaption><p>Vertical reference band</p></figcaption></figure></div>

**2.3. Connector lines**

Connector lines interconnect different bubbles and display how the bubbles have been sorted.

<figure><img src="https://inforiver.gitbook.io/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FiaZjPQAzK7o4p2ZZ98JF%252Fimage.png%3Falt%3Dmedia%26token%3Db0bc3feb-a4fa-437d-9744-177d0b7d9b7e&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=894a4168463288830efe2b9036faf33bdfb6280269a4592af7c489731a4104e0" alt=""><figcaption><p>Connector lines</p></figcaption></figure>

### **3. Customization & formatting options under Canvas settings**  <a href="#id-2.-analytics-for-bubble-charts" id="id-2.-analytics-for-bubble-charts"></a>

Distinguish the various categories in your bubble charts with fill patterns. Fill patterns help in increasing the clarity of charts with high data density. Analytics+ now supports solid, outlined, and hatched fill styles. Navigate to Canvas Settings and select the fill style from the dropdown menu.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FHkxA7NwA8uK1Anx8qD0F%2Fimage.png?alt=media&#x26;token=8fa89606-5f08-4821-8b70-3dfe1083ceb1" alt=""><figcaption><p>Bubble charts canvas settings</p></figcaption></figure>

### 4. Legend settings for Bubble charts

#### 4.1. Bubble

Enable the Bubble toggle in the Legend tab to display a size-based legend. Size-based legends make it straightforward to associate the value with the size of the bubble.&#x20;

* **Label**

You can choose to display the legend as concentric circles or in a row.

<div><figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FFLUCZVOQfR6hrvLPEU21%2Fimage.png?alt=media&#x26;token=e0d072fa-8dcb-4583-a56c-40cd7199abd4" alt=""><figcaption><p>Circles in a row</p></figcaption></figure> <figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FHiRSHqJ0sERrNdqeJhjj%2F2025-05-06_18h06_04.png?alt=media&#x26;token=7b23f3c2-c190-4c1e-80cf-5cacb1313245" alt=""><figcaption><p>Concentric circles</p></figcaption></figure></div>

* **No of size range**

Based on your data, you can define the number of circles to display in the legend.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2Fk5aaCPZmTwtaePeX2ZJX%2Fimage.png?alt=media&#x26;token=7b2872b4-8c65-4495-9a46-de04382e38d3" alt=""><figcaption><p>Number of circles in the legend</p></figcaption></figure>

* **Transparency**

For concentric circles, you can set the transparency factor.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FolxXKQRNoKlz1UsbIFpj%2Fimage.png?alt=media&#x26;token=9c2ae397-76a2-476b-acb8-b393b1c82f4c" alt=""><figcaption><p>Transparency for concentric circles</p></figcaption></figure>
{% endtab %}

{% tab title="Scatter plot" %}

## &#x20;                            <mark style="color:$success;">Scatter plot</mark> <a href="#scatter-plot" id="scatter-plot"></a>

#### **Chart setup to build a scatter plot:**

| Configuration option | Configuration value                                                                |
| -------------------- | ---------------------------------------------------------------------------------- |
| **Axis**             | Drag the dimension to plot on the axis (e.g.,Month).                               |
| **Values parameter** | Drag multiple measures to compare (e.g., 2024 Actuals, 2024 Plan).                 |
| **Chart type**       | Select **Scatter** from the Bubble charts section of the Chart Type dropdown menu. |

> Scatter plots are used to identify the relationship between two variables, such as positive, negative, or no correlation. If you add a third measure to a scatter plot, the chart is automatically converted into a bubble chart, with the 3rd measure taken as the size.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FVNvIm8FrzFtfLGJlA9AR%252Fimage.png%3Falt%3Dmedia%26token%3D681c5c92-8f51-497e-9a40-0ad286a0c4a4&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=1146e9d9&#x26;sv=2" alt=""><figcaption><p>Scatter plot</p></figcaption></figure>
{% endtab %}

{% tab title="Quadrant chart" %}

## &#x20;                           <mark style="color:$success;">**Quadrant chart**</mark> <a href="#quadrant-chart" id="quadrant-chart"></a>

#### **Chart setup to build a quadrant chart:**

| Configuration option | Configuration value                                                                 |
| -------------------- | ----------------------------------------------------------------------------------- |
| **Axis**             | Drag the dimension to plot on the axis (e.g., Month).                               |
| **Values parameter** | Drag multiple measures to compare (e.g., 2024 Actuals, 2024 Plan, AC vs PL%2024).   |
| **Chart type**       | Select **Quadrant** from the Bubble charts section of the Chart Type dropdown menu. |

> Quadrant bubble charts are an advanced type of bubble chart that combines the features of scatter plots and bubble charts with a quadrant overlay to provide deeper insights into data relationships. This visualization helps categorize data points into four distinct areas, each representing a different quadrant, to highlight relationships. The 2024 Actuals and 2024 Plan provide the x and y positions for each month. The AC vs PL%2024 measure determines the size of each bubble.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FbI2YkADjPlvYRtI7Jm7i%252Fimage.png%3Falt%3Dmedia%26token%3Df3783d66-fb2b-4a23-ab1a-f498e902a14e&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=193b8d03&#x26;sv=2" alt=""><figcaption><p>Quadrant bubble</p></figcaption></figure>

### 1. Axis settings for quadrant charts <a href="#id-1.-axis-settings-for-quadrant-charts" id="id-1.-axis-settings-for-quadrant-charts"></a>

**1.1. Horizontal (Y-axis)**

Enable or disable the Y-axis using the toggle. When the Y-axis is disabled, you will only have 2 quadrants corresponding to the X-axis.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FLXCySKeRd1BvxLc702NJ%252Fimage.png%3Falt%3Dmedia%26token%3De04bb3d4-4549-45b8-98fa-be4aebd31e75&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=3a3f09e4&#x26;sv=2" alt=""><figcaption><p>Y-axis disabled</p></figcaption></figure>

* **Based on**

Choose to render the Y-axis based on the Average/ Median/ Minimum/ Maximum/ Standard Deviation etc. You can also enter a custom value when you choose the Percentile or Constant options.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FbuGRaVg0VC6UE8a1s1Im%252Fimage.png%3Falt%3Dmedia%26token%3D1be4616e-28be-44b6-aec4-7c32a6aad65f&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=e4ba6f3f&#x26;sv=2" alt=""><figcaption><p>Average</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252F72AG47M6EPnbppiE5GIR%252F2024-07-10_14h58_58.png%3Falt%3Dmedia%26token%3De7382d74-726b-476c-a897-96c198402fbc&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=21c7bb27&#x26;sv=2" alt=""><figcaption><p>Median</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252F8MSc1f0QHbNXSOKWbvKp%252F2024-07-10_14h59_59.png%3Falt%3Dmedia%26token%3D1d89cba8-2acb-4306-9bfa-93d4bdf0852f&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=3c5dfdd3&#x26;sv=2" alt=""><figcaption><p>Maximum</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252Fty5lkKHKQvzP5MBzAUXM%252F2024-07-10_14h59_47.png%3Falt%3Dmedia%26token%3D36005ba0-2ddd-4b9b-a8bc-a262c899fe55&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=f9eccf6&#x26;sv=2" alt=""><figcaption><p>Minimum</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FtU1R7enVWXnS9cR4MUMl%252F2024-07-10_15h02_23.png%3Falt%3Dmedia%26token%3D0135be52-36e4-40b3-b4e1-2b402bb8e8d9&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=fb370722&#x26;sv=2" alt=""><figcaption><p>Percentile</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252Fli9K8d9Je9WEA1fnhzi3%252F2024-07-10_15h08_12.png%3Falt%3Dmedia%26token%3Df51ea20a-7a67-4175-8399-aa306066adfe&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=8e9d871c&#x26;sv=2" alt=""><figcaption><p>Constant</p></figcaption></figure>

* **Line style**

Set the style, thickness, and color of the Y-axis line.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FYtbYuzsplWviLgfA9ASg%252Fimage.png%3Falt%3Dmedia%26token%3D50f614e4-fb67-48d8-94b9-b0ce190f31ac&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=175d42df&#x26;sv=2" alt=""><figcaption><p>Line style</p></figcaption></figure>

**1.2. Vertical (X-axis)**

Enable or disable the X-axis using the toggle. When the X-axis is disabled, you will only have 2 quadrants (top and bottom) corresponding to the Y-axis.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252Fr0mHrSldipubwDBWoHaR%252Fimage.png%3Falt%3Dmedia%26token%3Dc97c83af-ccd6-49a0-a898-df9331d76a68&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=400584a5&#x26;sv=2" alt=""><figcaption><p>X-axis disabled</p></figcaption></figure>

* **Based on**

Choose to render the X-axis based on the Average/ Median/ Minimum/ Maximum/ Standard Deviation etc. You can also enter a custom value when you choose the Percentile or Constant options.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FERpMmGWVLXoubGGL6PLo%252F2024-07-10_15h17_35.png%3Falt%3Dmedia%26token%3D039c0df5-f794-4176-ace2-c7a77245f1a6&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=67fc5c4d&#x26;sv=2" alt=""><figcaption><p>Minimum</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FW0viSIWqOjWxbYAAVTZn%252F2024-07-10_15h17_12.png%3Falt%3Dmedia%26token%3D5cf6a04e-daeb-4d5d-96ab-ea6cd0b9f3eb&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=58775209&#x26;sv=2" alt=""><figcaption><p>Median</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FtCXg4HdnRMKoL8oXrPad%252F2024-07-10_15h16_50.png%3Falt%3Dmedia%26token%3D77d79760-a855-4645-8783-5d9a1ff8e34d&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=6ae656fc&#x26;sv=2" alt=""><figcaption><p>Average</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FKuiBvgDuewnMrpeWL9aN%252F2024-07-10_15h25_49.png%3Falt%3Dmedia%26token%3D415bb034-6eae-4fb7-b594-4b4b91089884&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=1e540e36&#x26;sv=2" alt=""><figcaption><p>Constant</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FAWmfaUnu4MEuWmcdOhpc%252F2024-07-10_15h25_04.png%3Falt%3Dmedia%26token%3D949fcb25-08aa-41f9-bd01-aa2491ce851c&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=32d05759&#x26;sv=2" alt=""><figcaption><p>Percentile</p></figcaption></figure>

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FsWcSxaeuZBSsyKfO6Lpk%252F2024-07-10_15h24_09.png%3Falt%3Dmedia%26token%3Dd266de9b-ae59-436d-aedb-51c0b651e388&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=7ac9910c&#x26;sv=2" alt=""><figcaption><p>Maximum</p></figcaption></figure>

* **Line style**

Set the style, thickness, and color of the X-axis line.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FYfIXaUiRAXyRvl4lcNPn%252Fimage.png%3Falt%3Dmedia%26token%3D03d22e8c-6d55-4a77-a0f6-246468c61cae&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=de85396d&#x26;sv=2" alt=""><figcaption><p>Line style</p></figcaption></figure>

**1.3. Quadrants**

You can set the background color for each quadrant. Additionally, you can customize the quadrant title, font, and vertical/horizontal orientations.

* **Fill**

Set the background color of the quadrant.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FYQVu7W7BWpyRrmqXMBnZ%252Fimage.png%3Falt%3Dmedia%26token%3D7ab9f4d5-183f-4331-bfa0-8c0c75cc9acc&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=2cc23178&#x26;sv=2" alt=""><figcaption><p>Background color</p></figcaption></figure>

* **Label**

Enable or disable the title for each quadrant. Notice how the title has been disabled for the 3rd quadrant.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252Fiy3RH9VoduQVEj7dAxaw%252Fimage.png%3Falt%3Dmedia%26token%3Dd6b099be-a317-4b20-adb0-d15f169cee65&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=318ff235&#x26;sv=2" alt=""><figcaption><p>Label</p></figcaption></figure>

* **Text**

Assign a custom title for each quadrant.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FqDKNM5JuJLB6T8QfT7Ar%252Fimage.png%3Falt%3Dmedia%26token%3D89479738-e4bc-4542-ade9-297a6996ac27&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=a8ea7552&#x26;sv=2" alt=""><figcaption><p>Quadrant title</p></figcaption></figure>

* **Font/Style**

Set the font, size, style (Bold/Italic/Underline), and color for the quadrant title.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252F1MXn0dKXX0FQVMpnJa98%252Fimage.png%3Falt%3Dmedia%26token%3Dbb47c9ea-10a3-40d4-a55e-b76ac79ec581&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=2adc795b&#x26;sv=2" alt=""><figcaption><p>Font customization</p></figcaption></figure>

* **Horizontal and vertical positioning**

Set the horizontal and vertical positions of the quadrant title.

<figure><img src="https://docs.inforiver.com/~gitbook/image?url=https%3A%2F%2F3132984990-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FbOoZhPvC57Z0CNgep4Ib%252Fuploads%252FITDHztobNFGxKiINN8e9%252Fimage.png%3Falt%3Dmedia%26token%3Db49af723-c8a0-4af6-a4aa-7e854c8095aa&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=64490075&#x26;sv=2" alt=""><figcaption></figcaption></figure>
{% endtab %}
{% endtabs %}

## Additional formatting options

Here are the other settings that help you refine your bubble 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>

## Migrating from xViz Scatter/Bubble charts to Analytics+

{% hint style="success" %}
**Download Guide and Demo**

Access the detailed guide, which includes step-by-step settings paths and a PBIX demo report, for comprehensive configuration examples between xViz and Analytics+.
{% endhint %}

**Download ↓**

{% file src="<https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2F13UBlFqRzrAv9rLroK2c%2FxViz%20Bubble%20Scatter%20Chart%20to%20Inforiver%20Analytics%2B.zip?alt=media&token=02512959-10c7-43e8-b7a6-651b7e650d64>" %}
Download the zip file to access the migration guide and PBIX demo file
{% endfile %}
