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ThreeDify Excel Grapher 4.9.1
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Microsoft Excel is widely employed today for most basic tasks related to handling figures. Intuitive charts can also be generated based on source data, a feature that further increases its usefulness. There are cases, however, when the built-in charts simply do not do justice to the analyzed phenomenon. For such situations, one can employ ThreeDify Excel Grapher, an Excel dependency allowing its users to generate customizable 3D graphics with just a few mouse clicks.
As any data processors, the plugin requires that one has an adequately formatted and populated spreadsheet with all source information. The plugin integrates seamlessly with the host application and generating new charts requires only that one specifies the three data series accounting for the chart's axes.
Once the source information has been selected, the application will automatically generate informative 3D scatter plots. These items can then be further customized in numerous methods, including by adjusting the view, including perspective effects, as well as by modifying the background image.
For the latter operation, one can also insert custom pictures in most common formats. An intuitive 'graphs manager' allows users to alter the source data for all the 3D charts; this is a notable feature, as one can batch adjust the source data for all the graphical elements in the workbook, thus significantly increasing productivity.
A comprehensive built-in “Equation fitter” module can also be used to model source data, as the plugin comes equipped with no less than 2500 equations, from simple trigonometric functions to advanced exponential decay items. Several output options are available to users, including the ability to generate common images (PNG, BMP or JPG formats), as well as AVIs, and DXFs or WRLs.
To conclude, ThreeDify Excel Grapher is a powerful solution for anyone regularly using Microsoft Excel to plot various data in 3D settings. It generates highly customizable scatter plots and one can also opt from 2500 built-in equations to model source data adequately.
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