The first method of the **Automatic Univariate Description** submenu is the description of either continuous or categorical variable by both continuous and categorical variables.

**The interface**

As it can be seen in the figure above, the interface is very simple and only has 3 fields you need to worry about.

Firstly, the *Variable to Characterize* take either a continuous or categorical variable that you wish to describe. Then, you put the continuous and categorical variables you want to use for the characterization of the variable. Lastly, the *Significance threshold* option set the threshold under which a variable is significantly describing the variable to characterize.

**Examples**

There are two ways of using this methods. You can either use it to see what variables are significantly describing the variable to characterize or you can set the *Significance threshold* to 100 so that you have the indicators (R², correlation, etc.) for all the variables.

For the following examples, we will be using the bugs data set (available with Jamovi):

### Description of a continuous variable

For this example we are going to describe the LDLF variable using all the other variables (except Subject) and let the default value for the *Significance threshold*:

We can see that for a threshold of 0.05, none of the categorical variables significantly describes the LDFL variable. However, the 3 continuous variables are significantly correlated (for a threshold of 0.05) to LDLF with correlations between 0.5 and 0.6.

Now, let’s set the *Significance threshold* to 100 to get a complete description of the variable.

### Description of a categorical variable

Let’s describe the gender variable and set the threshold to 100 to see all the output.