Show color regions colors the graph by class (see the screenshot below). If Jitter numeric values is checked, points are also scattered around their actual numeric values. Jittering will randomly scatter point only around categorical values. Set jittering to prevent the dots overlapping. Set symbol size and opacity for all data points. Label only selected points allows you to select individual data instances and label only those. Set label, shape and size to differentiate between points. This feature scores attribute pairs by average classification accuracy and returns the top scoring pair with a simultaneous visualization update.Īttributes: Set the color of the displayed points (you will get colors for categorical values and blue-green-yellow points for numeric). Optimize your projection with Find Informative Projections. A snapshot below shows the scatter plot of the Iris dataset with the coloring matching of the class attribute. Various properties of the graph, like color, size and shape of the points, axis titles, maximum point size and jittering can be adjusted on the left side of the widget. The data is displayed as a collection of points, each having the value of the x-axis attribute determining the position on the horizontal axis and the value of the y-axis attribute determining the position on the vertical axis.
The Scatter Plot widget provides a 2-dimensional scatter plot visualization. Selected Data: instances selected from the plotĭata: data with an additional column showing whether a point is selected Scatter plot visualization with exploratory analysis and intelligent data visualization enhancements.
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