# DistributionsΒΆ

Displays value distributions for a single attribute.

- Inputs
- Data
- input dataset

The **Distributions** widget displays the value distribution
of discrete or continuous attributes. If the data contains a class
variable, distributions may be conditioned on the class.

For discrete attributes, the graph displayed by the widget shows how
many times (e.g., in how many instances) each attribute value appears in
the data. If the data contains a class variable, class distributions for
each of the attribute values will be displayed as well (like in the
snapshot below). In order to create this graph, we used the *Zoo* dataset.

- A list of variables for distributions display
- If
*Bin continuous variables*is ticked, the widget will discretize continuous variables by assigning them to intervals. The number of intervals is set by precision scale. Alternatively, you can set smoothness for the distribution curves of continuous variables. - The widget may be requested to display value distributions only for
instances of certain class (
*Group by*).*Show relative frequencies*will scale the data by percentage of the dataset. - Show probabilities.
*Save image*saves the graph to your computer in a .svg or .png format.- Produce a report.

For continuous attributes, the attribute values are displayed as a
function graph. Class probabilities for continuous attributes are
obtained with Gaussian kernel density estimation, while the appearance
of the curve is set with the *Precision* bar (smooth or precise). For the purpose
of this example, we used the *Iris* dataset.

In class-less domains, the bars are displayed in gray. Here we set *Bin
continuous variables into 10 bins*, which distributes variables into 10
intervals and displays averages of these intervals as histograms (see 2.
above). We used the *Housing* dataset.