The Contour 2D plot visualizes a matrix in two dimensions. It can be useful for creating an overview of an imported data set. Each row in the plot corresponds to an observation and each column corresponds to a variable.

Contour 2D settings

Data range: Specifies which vectors should be plotted. The Data range for the Contour 2D plot cannot be changed since this plot type uses all available vectors of the plotted matrix.

Color: Changes the coloring of the plot. Available options are [FIXED]; the entire plot has the same color, [ROW]; All rows have the same color and is determined by the values of the selected row, [COLUMN]; All columns have the same color as is determined by the values of the selected column, [OBS CATEGORY]; the plot is colored by observation categories, [VAR CATEGORY]; The plot is colored by the variable categories, [AMPLITUDE]; Each object in the plot is colored by its value, [MISSING VALUES]; All missing values in the plot have a specific color.

Comment: Available options are [NONE], [CUSTOM] and [CATEGORY]. With [CUSTOM] the user can enter a custom comment using the advanced settings. The custom comment will be shown in the tooltip box that appears when the mouse hovers above a data point. The comment is also shown in any text box created from the table toolbar. When [CATEGORY] is selected the comment will contain the observation category.

X-axis labels: Available options are [NONE]; no labels are used, [INDEX]; the column indices are used as labels, [IDENTIFIER]; a variable identifier is used as labels, [VALUE]; values for a certain row are used as label, [CATEGORY]; a variable category is used as label.

Y-axis labels: Available options are [NONE]; no labels are used, [INDEX]; the row indices are used as labels, [IDENTIFIER]; an observation identifier is used as label, [VALUE]; values for a certain column are used as labels, [CATEGORY]; an observation category is used as label.