# Correlation Plot

* [What is the Correlation plot?](#what-is-the-correlation-plot)
* [Viewing the Correlation plot](#viewing-the-correlation-plot)
* [Configuring the Correlation plot](#configuring-the-correlation-plot)

## What is the Correlation plot?

The *Correlation plot* is used to visualize the relationship between feature and numeric attribute values for each sample or cell. The y-axis is the feature and the x-axis is the numeric attribute. Points on the plot are cells or samples.

## Viewing the Correlation plot

The correlation plot is available on [Correlation analysis](https://help.multiomics.illumina.com/partek/partek-flow/user-manual/task-menu/correlation/correlation-analysis) and [ANOVA/LIMMA-trend/LIMMA-voom](https://help.multiomics.illumina.com/partek/partek-flow/user-manual/task-menu/differential-analysis/anova-limma-trend-limma-voom) (if a numeric attribute is included) task reports.

* Click the **View correlation plot** button ![image2019-8-29\_15-51-39](https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-f25f8ba7ca550a936f7df1d1ffe8d1f465782c99%2Fimage2019-8-29_15-51-39.png?alt=media) in the *View* column of the task report (Figure 1)

![](https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-d7e934477cf3ebf6fc3af417342fc48b1474c62b%2Fimage2019-8-30_10-13-54.png?alt=media)

Figure 1. Opening a correlation plot

## Configuring the Correlation plot

The correlation plot can be configured using the control panel to the left of the plot (Figure 2).

![](https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-ddd142307b4c497eda08dcd8ec2ef57e31a26841%2Fimage2019-8-30_10-19-16.png?alt=media)

Figure 2. Correlation plot

The points on the plot are the cells or samples.

The feature ID is shown in the plot title.

The x-axis is the selected numeric attribute.

The y-axis is the normalized counts for the feature.

The points can be colored, sized, connected, and labeled using the drop-down menus in the control panel. By default, the points are colored by the first numeric attribute.

To switch the numeric attribute on the x-axis, use the *X-axis* drop-down menu.

The linear regression line is shown on the plot as a grey dashed line.

Click **< Previous** and **Next >** to move up and down the table.

Click the **Save image** button ![image2019-8-23\_13-16-43](https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-128a4b43bc88cc56946d07e3051884f8e7328af2%2Fimage2019-8-23_13-16-43%20\(1\)%20\(1\)%20\(1\).png?alt=media) to save a PNG or SVG image to your computer.

Click the **Send to notebook** button ![image2019-8-23\_13-17-9](https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-bdb91ec221d7b883501afad19f115b6449f8f31b%2Fimage2019-8-23_13-17-9%20\(1\)%20\(1\)%20\(1\).png?alt=media) to send the image to a page in the Notebook.

## Additional Assistance

If you need additional assistance, please visit [our support page](https://www.illumina.com/company/contact-us.html#/other/technical-support) to submit a help ticket or find phone numbers for regional support.
