KaleidaGraph is a thoughtfully
designed graphing and data analysis
application for research scientists, as well as for those in
business and engineering fields. It produces publication-quality
graphs, and easily converts the most complex data into a functional
display. KaleidaGraph allows the user to import, manipulate, and
analyze data, as well as create customized plots. Statistics, linear
and nonlinear curve fitting, and the ability to produce precise
graphic visualization of data all make KaleidaGraph powerful and
Flexible Data Entry
When KaleidaGraph is first launched, the user is presented with
a data window and formula entry window. Each data window supports a
maximum of 1000 columns and 1 million rows. Microsoft Excel files
can be opened directly into KaleidaGraph, and users can specify the
structure of text files as they are being imported. Pertinent
information about the data can be stored using the Posted Note
feature of the data window.
The formula entry window provides the ability to manipulate data
with a variety of algebraic and statistical functions. These
operations can be performed on an entire column of data, a data
selection, or a single cell in the data window.
Fast and versatile graphing
KaleidaGraph provides a variety of line and scatter plots,
including double y, double x, and double xy. These plots support up
to 99 independent and dependent y variables in a single plot. Other
plot types include statistical (box, probability, histogram and
percentile), bar, polar, pie and function.
Complete control over every plot option
After a plot is created, the user has total control over all the
plot elements. The Axis Options dialog allows the user to control
the limits, scaling, and axis labels for each of the axes, in
addition to the display of tick marks and grid lines. The Plot Style
dialog can be used to change the marker type, size, color, and
number of markers displayed on the plot.
A number of plot tools are available to further customize the plot.
A text tool is available to create fully stylized text labels.
Drawing tools are provided to add arrows, lines, boxes, ovals, arcs,
polygons, and Bezier curves. The identify tool displays the current
coordinates each time the mouse is clicked. The data selection tool
can be used to graphically eliminate outliers from the plot.
Precise curve fitting
One of KaleidaGraph’s biggest strengths is in the area of curve
fitting. KaleidaGraph supports both linear and nonlinear curve
fitting, with built-in equations for linear, polynomial,
exponential, logarithmic, and power functions. Four smoothing curve
fits (smooth, weighted, cubic spline and interpolate) are provided
to help improve the presentation of the data.
Nonlinear curve fitting is accomplished through KaleidaGraph’s
general curve fit. This curve fit allows the user to define their
own equation, which can contain up to nine unknown parameters. The
program ships with over 100 different equations that can be used to
fit the data.
Error bars can be added to the plots in almost any way
imaginable: full error bars, single-sided error bars, and error arcs
can all be displayed. The values used for the error bars may be a
function of the data statistics, fixed, or supplied by the user. If
the user specifies a text column for the error values, the values in
that column will be used to annotate the points in the plot.
Effortless printing and plot
The layout feature in KaleidaGraph allows the user to display
plots, tables, and text in a suitable manner for publication or
presentation. The user has control over the size and placement of
the elements in the layout window, similar to a page layout program.
Layouts can be printed, pasted into other applications, or exported
in a WMF, TIFF, JPG, GIF, BMP, PNG or PICT format. Everything you
need is right at hand inside KaleidaGraph, without the need for
another program to do the job.
Templates and Formula Scripts
Additional features include template plots and formula scripts.
Template plots allow the user to take any pre-existing plot and use
it as a template for creating a new plot. Any curve fits or error
bars included in the original plot are automatically applied to the
Formula scripts take things one step further by providing commands
to import data, manipulate it with algebraic formulas, plot it using
either a new plot or a template plot, and export the plot to a file.
All of this can be accomplished with little or no user interaction.
Powerful data analysis and manipulation
Easy-to-use commands for analyzing your data include a variety
of basic statistics, Student t-test, ANOVA, and Wilcoxon. Use the
Formula entry window to manipulate your data using over 100
algebraic equations and statistical functions from convenient menus.