Analyzes the data provided by the research analysis and creates scientific graphs. Supports importing, visualizing, manipulating, plot generating, and 20 independent and 20 dependent y variables in a single plot. Any changes that affect the plot will automatically be reflected in the output graph.
KaleidaGraph is intended mainly for scientists as well as other business and engineering specialists who need to statistically process data and generate graphs to illustrate their results. The program is probably not as easy to use as other popular general-purpose data managing tools; however, its advantages make it a convenient alternative.
The program’s design follows the common workflow that consists in importing, editing, managing and analyzing data. After this, the next step is to create the desired graphics by plotting the results. You should begin by entering data into a data window, which comes with enough columns and rows to accommodate the input. Yet, it can be customized to fit larger sets. It is also possible to import records from Excel files.
The data entered can be easily analyzed using various statistical equations, including mean, standard deviation, root mean square, standard error, variance, skewness and kurtosis. Likewise, it supports performing various tests, such as Anova, Wilconxon, Kruskal-Wallis and Friedman. Statistics can be calculated on single columns or the selected range.
Just as its name suggests, the main asset of this product is its ability to create a wide array of high-quality graphs. In this regard, it is possible to generate linear, stat, bar, polar, pie and function graphs. What is more, you can use and create templates for those types of graphs you need to use repeatedly.
All in all, KaleidaGraph is more convenient than other general-purpose spreadsheet and graphing tools as it allows entering complex data and generating more customized graphs. The product is constantly being updated with new features, which proves its developers’ intentions of meeting the needs of the users. It is shareware and can be tried without limitations, but it is only usable for a limited period of time.
v4.5 [Sep 24, 2013]
Added the following plot types:
- Fill to the Linear submenu
- Floating Bar and Floating Column to the Bar submenu
Increased the number of variables that can be plotted on a single plot. Most plots allow you to plot up to 99 variables.
Redesigned the Variable Selection dialog. Highlights include the ability to resize the dialog, Shift-click a range of Y data columns, and choose more than 9 X variables in a single data window.
Added 24 new plot symbols.
Added support for the latest Excel file formats (.xlsx).
Modified how plots are exported to avoid using QuickTime and achieve higher resolution images (up to 800 dpi) for all of the file formats.
Added a CMYK option when exporting TIFF images.
Added support for drop lines in many of the plot types.
Added support for natural log and log (base 2) axes.
Plot symbols can now have an outline color that is different from the fill color. This also allows the frames in Box and Percentile plots to be different from the fill color, and for the frames in Bar and Column plots to be different as well (unless Black Column Frame is selected in Plot Options).
The following items can now have their colors set independently:
- axes
- major and minor grid lines
- major and minor ticks
Added an option to display the median line on a Dot plot.
The width of the boxes in Box and Percentile plots can be controlled by the Column Offset field in the Bar portion of Plot Options.
Box plots can now have a fill pattern when markers are displayed on the plots.
Percentile plots can now have fill patterns.
Added a Slice Data command to the Functions menu that can be used to reorganize Y data associated with up to three grouping variables for further analysis.
Added an Export All Curve Fits command to the Curve Fits menu that compiles all of the curve fit results in a new data window.
Expanded the number of statistics that are calculated when performing a Linear curve fit. The new statistics include: adjusted R^2, standard error, F value, and P value for the overall fit, as well as standard error, t value, P value, and upper and lower 95% confidence limits for the slope and intercept. These statistics can be viewed by choosing View Results or Copy Parameters to Clipboard from the View pop-up menu in the Curve Fit Selections dialog or by choosing Curve Fit > Export All Curve Fits.
Added a Copy Confidence Values to Data Window command to the Curve Fit Selections dialog for Linear curve fits. Choosing this command appends the specified confidence limit values of the Linear curve fit to the data window for further plotting.
Added a Copy Predicted Values to Data Window command to the Curve Fit Selections dialog for exporting the values from a curve fit at the original X values.
The Axis, Grid, and Tick Thickness fields have been replaced by pop-up menus.
Modified the Edit Text dialog so that it can be resized. This text editor is used in several locations within KaleidaGraph, including the Posted Note and the Library.
The Line Thickness setting in Plot Options now controls the thickness of the legend symbol for variables that are represented by a fill pattern.
Expanded the commands available in the #SCRIPT formula script command. It is now possible to script all of the options available in Axis Options and Variable Settings. It is also possible to apply curve fits via a script.
Added some commands to the #PICT/OPT and #METAFILE/OPT formula script commands. It is now possible to specify the resolution and control the size of the exported image via a script.
