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.