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.
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.
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
and versatile graphing choices
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.
control over every plot option
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.
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.
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.
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.
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.
printing and plot export
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
and Formula Scripts
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 new plot.
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.
복잡한 데이터를 알기 쉬운 그래프로 변환 !!
데이타 파일을 불러오거나텍스트입력
및 통계 기능으로 8백만개 이상의 데이터 포인트를 처리
그래프에서 16개의 그래프 요소들의 세밀한 조정
바의 상한값 및 하한값 개별 설정
내장 fits (Linear Regression 와 Smoothing
Fits) 또는 사용자 fit equation