About graph types available in Discoverer

The table below shows the graph types that are available in Discoverer.

Graph icon	Graph category and description
	Area - graphs to show trends or changes in data using filled-in areas. This graph is useful when showing accumulations or cumulative data.
	Bar - graphs to compare values using vertical bars. Each value is represented by a single bar. Bar graphs shows variation over a period of time or illustrates comparisons between values. The stacked sub-type shows each value's relationship to a whole. Bar graphs can have two Y axes (for more information, see "Notes about creating dual-Y graphs").
	Circular - graphs to show directional data and cyclical patterns in data.
	Combination - graphs that combines bars, lines, and areas. This graph type emphasizes one or more series of data. You must have at least two series to use this graph type. Shows the relationship of one series to another. Most often used as a Dual-Y graph, where different series correspond to different Y axes.
	Horizontal Bar - graphs to compare values using horizontal bars. This graph type is identical to a bar graph except that the bars lie horizontally, rather than standing vertically. The stacked sub-type shows each value's relationship to a whole. Bar graphs can have two Y axes (for more information, see "Notes about creating dual-Y graphs").
	Line - graphs to show trends or changes in data at even intervals. Data is represented as a line that connects a series of data points.
	Pareto - graph to show trends across groups periodically and cumulatively. Each group is displayed as a column. A plotted line also shows the cumulative value across groups.
	Pie - graphs to show data as sections of a circle, similar to slices of a circular pie. A pie graph shows the proportion of parts to the whole. It is useful for emphasizing a significant element, such as the highest value. Note that a pie graph displays only one row or one column of data at a time (for more information, see "Notes about creating pie graphs").
	Scatter/Bubble Scatter - graphs to show data as points scattered over the plot area. Each point is a value whose coordinates are specified by two numeric measures. A scatter graph is useful for showing relationships between two measures, for example Sales and Cost. All points are the same size, regardless of their value. Bubble - graphs to show data in a similar way to a scatter graph, but with an extra dimension that uses the size of the bubbles. Each bubble is a value whose coordinates are specified by three numeric measures. A bubble graph is useful for comparing data that has three measures (for more information, see "Notes about creating bubble graphs").
	Stock graph - graphs to show the highest stock price, lowest stock price, and closing stock price as bands on a time axis. Stock graphs are useful for comparing the prices of different stocks or the stock price of an individual stock over time (for more information, see "Notes about creating high-low-close stock graphs").
	ThreeD - graphs to show three-dimensional (ThreeD) data in a true three-dimensional graph, where you have an X axis, a Y axis, and a Z axis. 3D graphs have a floor, a wall, and a background. Note: This graph type is not the same as a two dimensional graph with the 3D Effect turned on. The 3D Effect simply adds depth to any graph type.