Other plot types include statistical (box, probability, histogram and percentile), bar, polar, pie and function. These plots support up to 99 independent and dependent y variables in a single plot. KaleidaGraph provides a variety of line and scatter plots, including double y, double x, and double xy. These operations can be performed on an entire column of data, a data selection, or a single cell in the data window. 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. Microsoft Excel files can be opened directly into KaleidaGraph, and users can specify the structure of text files as they are being imported. Each data window supports a maximum of 1000 columns and 1 million rows. When KaleidaGraph is first launched, the user is presented with a data window and formula entry window. Statistics, linear and nonlinear curve fitting, and the ability to produce precise graphic visualization of data all make KaleidaGraph powerful and flexible. KaleidaGraph allows the user to import, manipulate, and analyze data, as well as create customized plots. It produces publication-quality graphs, and easily converts the most complex data into a functional display. KaleidaGraph is a thoughtfully designed graphing and data analysis application for research scientists, as well as for those in business and engineering fields.

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