# Dot Plot

Dot plot is special 2D scatterplot with X-axis is a categorical variable and Y-axis is a numerical variable, typically used to visualize gene/protein expression (RNA-seq or scRNA-seq), with dots representing observations (samples or cells), X-axis showing treatment groups and y-axis showing expression level on an appropriate scale.

In differential analysis report data node, select the **dot plot** icon (<img src="/files/9CLS09p2FI8ldG1EZxob" alt="" data-size="line">) in the *View* column to invoke the plot in data viewer. The plot will be displayed in a new browser tab.

<figure><img src="/files/5FQq8mSDrCroaFhbrawo" alt=""><figcaption></figcaption></figure>

The chart title is based on the feature (e.g. gene or protein) that the plot was invoked on. The y-axis is scaled automatically, based on the range of the data, and the units correspond to the input node. Dots represent observations (e.g. samples or cells). Hovering the cursor over a sample invokes a popup balloon message shows sample ID and the respective expression value.

The order of the group on the X-axis by default is based on the order in the attribute management page in the Data tab. However, you can manually click on the name of the group on X-axis, drag and drop to change the order

<figure><img src="/files/WszOJ5L3Zm1E7WCVYK56" alt=""><figcaption></figcaption></figure>

When you have a lot of observations to display, you can choose to add box-whiskers and/or violin plot on the graph, by turning on/off the options to display the different type of plots in **Style** card from the configuration panel.

<figure><img src="/files/GsuhJHsM6eDzcRveIMGq" alt=""><figcaption></figcaption></figure>

You can have multiple categorical attributes on X-axis in the **Axes** configuration card. Click on the attribute to drag up and down to change the order of the attributes displayed on the X-axis.

<figure><img src="/files/CXZDpkZPxVp6twEkmFQF" alt=""><figcaption></figcaption></figure>

Click the **Export image** button to save a PNG, SVG, or PDF image to your computer.

Click the **To notebook** button to send the image to a page in the Notebook.


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