Simple examples such as images and text are shown directly in the plot:

Plot features extracted from audio recordings:

Extract features on a mixed-type dataset:

Extract features from a dataset that contains missing values:

Extract features from a dataset formatted as a list of associations:

Get tabular data:

Plot features coming from one of the columns:

Plot multiple features per row as points, with tooltips using elements from multiple columns:

Use LabelingFunctionCallout to use features as callouts for the points:

Use wrappers on individual examples:

Use wrappers on the entire collection of examples:

Wrappers can be nested:

Use the value of each point as a tooltip:

Label points with automatically positioned text:

Use callouts to label points:

Add tooltips to each point:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Simple examples such as images and text are shown directly in the plot:

Use the examples as tooltips:

Provide labels for the data:

Group all the labels together:

Association keys are used as labels:

Put the labels in tooltips:

Use a gray background for the plot:

Represent the examples as stars in the plot:

Use large purple points:

Use a plot theme with a frame and grid lines:

Combine the detailed theme with a theme that uses open shapes for the points:

By default, FeatureSpacePlot uses the same width and height:

Specify the height to width ratio:

AspectRatioAutomatic determines the ratio from the plot ranges:

AspectRatioFull adjusts the height and width to tightly fit inside other constructs:

By default, plots do not have a background:

Use a light gray background:

By default, features are automatically chosen based on input type:

Use a different setting:

Use a random position as the feature:

Simple examples such as images and text are shown directly in the plot:

Show the examples as points:

Show the examples as points with the original data in tooltips:

Center the labels at the corresponding points:

Use Callout to label the points automatically:

Specify the callout placements:

Size of labels are determined automatically:

Specify the size of labels:

Specify the size of callout:

Limit the display size for text:

FeatureSpacePlot uses Method->"UMAP" by default:

Use different methods:

Generate a plot using flags for countries in Europe:

Use a faster method to position the flags:

Add an overall label to the plot:

Change the appearance of the plot markers:

Increase the padding around the contents of the plot:

Do not add any padding to the plot:

Use red points to represent the examples:

Make the points large and red:

By default, plots are shown with minimal extra detail:

Use a theme with a dark background and more styled points:

Show labels:

FeatureSpacePlot gives reproducible results:

Use an automatic seed to get different results:

Use specific seeds for reproducible but varying results: