# Variance Charts

Inforiver Analytics+ offers a broad range of variance charts. The variance can be displayed in absolute or percentage terms across various charts. This section outlines the steps and options available for configuring variance charts in Inforiver Analytics+.

## Variance Chart Configuration

* Select a **Chart Type.**

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FKcso2MmE4I2i1ARQ0PL8%2Fchart%20type.png?alt=media&#x26;token=ebc31920-39a9-4e01-8c3a-c58637425a20" alt=""><figcaption></figcaption></figure>

* Navigate to the **Measure** tab. Under the **Series** section, select the required Variance Type. You can choose to display a *variance chart, absolute variance,* or *percentage variance.*

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FKAqNfZGfcLOUDqHU3jSw%2Fvariance.png?alt=media&#x26;token=315c5542-8453-49c6-880b-f0087ee51bbc" alt=""><figcaption></figcaption></figure>

## Charts supporting Variance

### [Column/Bar Charts](https://docs.inforiver.com/analytics+/quick-charts/column-bar-charts)

* Overlapped Column/Bar

<div data-full-width="true"><figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FJUVHhKU3oz0zF0n6Zxij%2FOverlapped%20column%20bar.png?alt=media&#x26;token=4083324f-58c2-4a07-acb0-46f15dcdb0cd" alt=""><figcaption></figcaption></figure></div>

* Integrated Variance Column/Bar

<div data-full-width="true"><figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FSV4kkLZEy3d4tBXlqFze%2Fintegrated%20variance%20column%20bar.png?alt=media&#x26;token=3348c6f9-5a62-4e97-972a-5091f91af1cc" alt=""><figcaption></figcaption></figure></div>

* Split Bars

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FfFUZGveGX8fRZlyqlU9y%2FSplit%20Bars.png?alt=media&#x26;token=90c2a2e6-f9f5-4d06-8615-3522a97cfdbe" alt=""><figcaption></figcaption></figure>

### [Line Charts](https://docs.inforiver.com/analytics+/quick-charts/line-charts)

* Line Chart

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FSJHjTaSVmqh23CiFffAY%2FLine%20Chart.png?alt=media&#x26;token=9480416d-d446-4af1-be04-a4862bc71477" alt=""><figcaption></figcaption></figure>

* Variance Line Chart

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2F7bFrwjqdyhrBzfGigUMj%2FVariance%20line.png?alt=media&#x26;token=7d83d9a7-d32b-46cf-983c-390cc54a624b" alt=""><figcaption></figcaption></figure>

### [Area Charts](https://docs.inforiver.com/analytics+/quick-charts/area-charts)

* Area Chart

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FNdEXTKGEiCNMVlizIIb8%2FArea%20Chart.png?alt=media&#x26;token=096ae913-7b2e-4d37-8d74-71acf8928f46" alt=""><figcaption></figcaption></figure>

* Variance Area Chart

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2Fv7GcN9v1O1DmXBdaPXFv%2FArea%20Variance.png?alt=media&#x26;token=64d7f1c7-1621-4d7e-8d41-144c866b9484" alt=""><figcaption></figcaption></figure>

### [Waterfall Charts](https://docs.inforiver.com/analytics+/quick-charts/waterfall-charts)

* Variance Waterfall

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2Fob3Gt6zuCsZ2CdrXBpoZ%2Fimage.png?alt=media&#x26;token=ecd6f6bf-1b54-47a9-b56e-cfa1deb415e7" alt=""><figcaption></figcaption></figure>

* Variance Waterfall + Column

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FScH9wePJaa66pNIvpsnk%2Fimage.png?alt=media&#x26;token=1dce8603-dd5b-4198-93c1-eab4ef1ce0f5" alt=""><figcaption></figcaption></figure>

* Side-by-side Waterfall

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2F4xVNW1KCzYTyz4QQTh5A%2Fimage.png?alt=media&#x26;token=7ef7f2c7-c72b-4828-80ea-d8718c42a14f" alt=""><figcaption></figcaption></figure>

### [Bullet Charts](https://docs.inforiver.com/analytics+/quick-charts/bullet-charts)

* Conditional Column/Bar

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2Fp8V7kuhtVYC8fHnPbXL0%2FConditional%20bullet.png?alt=media&#x26;token=2c7b206a-bfa4-4f5f-89fc-97498badcc4d" alt=""><figcaption></figcaption></figure>

* Comparative Bullet Column/Bar

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FHJoxaZmnK6Wq9eoEQrDv%2FComparative%20bullet.png?alt=media&#x26;token=adaa8b7d-eeed-431a-8132-72c4b02dee51" alt=""><figcaption></figcaption></figure>

* IBCS Bullet Column/Bar

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2F5B2aDNDacsshNjvbjn8c%2FIBCS%20bullet.png?alt=media&#x26;token=1a49d25d-fd6e-46a2-bf63-8f1bd40420c7" alt=""><figcaption></figcaption></figure>

* Qualitative Bullet Column/Bar

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FgbsMZt7PfjuScuLrfDiZ%2FQualitative%20bullet.png?alt=media&#x26;token=d0486245-008d-4071-aa13-daaab4e9427a" alt=""><figcaption></figcaption></figure>

* Multi-measure Bullet Bar

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FCKASSZisuQqg8Kx8q8I4%2FMulti-measure%20bullet.png?alt=media&#x26;token=43b27b0b-0a50-4654-bd3c-c82c2b5917f9" alt=""><figcaption></figcaption></figure>

### [Statistical Charts](https://docs.inforiver.com/analytics+/quick-charts/boxplots)

* Box Plots

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FqY8Im5glznb5NjaDbMqo%2Fimage.png?alt=media&#x26;token=e7b39f52-21fd-4c0e-88bb-830b1f6e27fd" alt=""><figcaption></figcaption></figure>

## Color Configuration in Variance Charts

In Inforiver Analytics+, you can customize the variance charts to visually distinguish between **positive** and **negative** variances.\
To apply variance colors:

* Navigate to **Settings** > **Canvas**.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2FlcP336itMvjOrTHjCcTd%2Fcanvas%20settings.png?alt=media&#x26;token=fc3b7b28-6196-473a-8c5a-98bbebd5cde1" alt=""><figcaption></figcaption></figure>

* Scroll down to the **Variance** section and choose the desired colors for Positive Variance and Negative Variance.

<figure><img src="https://3132984990-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FbOoZhPvC57Z0CNgep4Ib%2Fuploads%2F4Tru8PSP5u5RmLzUQk6V%2Fvariance%20invert%20color.png?alt=media&#x26;token=f12a91b1-b0ef-429c-bbdb-43f21a6f81ac" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
Enable the **Invert Color** toggle to reverse the color mapping for positive and negative variances.
{% endhint %}

## Additional Formatting Options

Here are the other settings that help you refine your Radar/Polar 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 Variance Chart 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%2F3w0q2peaNHa17rgDLbx5%2FxViz%20Variance%20Chart%20to%20Inforiver%20Analytics%2B.zip?alt=media&token=d3fce76c-c9f7-4d2a-8aa9-be823cbbf6f7>" %}

For additional guidance on configuring and using variance analysis features in Inforiver Analytics+, refer to the blog posts:

* [A Guide on Variance Analysis in Power BI with Inforiver Analytics+](https://inforiver.com/blog/inforiver-analytics-plus/variance-analysis-powerbi-inforiver-analytics/)
* [Variance chart in Power BI](https://inforiver.com/blog/inforiver-analytics-plus/variance-analysis-powerbi-inforiver-analytics-plus/)