2D Graphs
2D Graphs offer the most common methods to visualize data in the 2-dimensional space; the "true XY" implementation of 2D graphs in Statistica (regular or categorized) offers numerous options to interpret values as 2D coordinates of points, lines, bars, etc., and/or as elements of one dimensional sequences (or time series). They represent either standard methods to graphically summarize raw data (e.g., various scatterplots, histograms, or plots of central tendencies such as medians) or standard graphical analytic techniques (e.g., categorized normal probability plots, detrended probability plots, or plots of confidence intervals of regression lines). These graphs are available from the Graphs menu. When the 2D Graphs are generated, Statistica automatically takes into account the current Analysis/Graph Case Selection Conditions and Analysis/Graph Case Weights conditions for the variables selected to be plotted.
Regardless of the type of 2D Graph and the method that was used to create a graph (i.e., regardless of where the numbers represented in the graph were obtained or how they were calculated), all Statistica graph customization facilities can be used to change the appearance of the 2D graph or integrate it with other graphs or documents. Also, all integrated analytic facilities that are accessible from within graphs in Statistica (such as function fitting, smoothing, brushing, analytical zooming, etc.) are available and can be applied to the graph regardless of the source of the numbers in the graph or the method that was used to create it. For a general overview of the graphics facilities in Statistica, see the Graph Overview.
For a comprehensive listing of all basic graphs see also the Graphs - Index; for specific information on 2D Graphs, click on the graph name below.
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