Download Rt-Science Tools2D for Delphi 3.3.2.29

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Free-To-Try.com Windows Development Delphi Rt-Science Tools2D for Delphi

Rt-Science Tools2D for Delphi 3.3.2.29
Rt-Science Tools2D for Delphi 3.3.2.29 screenshot
The selection of components to generate two dimensional Cartesian plots & more
Price: USD (Buy Now) Hits: 706 visitors Publisher: Rt-Science OS Support: Win2000, Win2003, Win95, Win98, WinNT 4.x, WinVista, WinXP License: Shareware Date added: 31 Oct 2012 Last Update: 06 Apr 2009 Downloads: 22

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Screenshots of Rt-Science Tools2D for Delphi

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Rt-Science Tools2D for Delphi Publisher's description

The selection of components to generate two dimensional Cartesian plots & more

A compilation of components for Borland and CodeGear Delphi and C++ compilers for generating Cartesian X/Y-plots from scientific and financial data. It supports a large variety of axis scaling types, series, calculated line legends, movable markers, etc., and thus gives you a tool for generating scientific and financial graphing programs easily, while retaining numerous options for tailoring the end product to the requirements of you and your customers.
* Plots as easy as creating arrays
* Fully working program within a few minutes see example
* From online data acquisition graphing to stock charting applications
* Unlimited number of secondary axis
* Lines, point symbols, error indicators, arrows, bars, bubbles, OHLC (western plot), candle stick
* Linear and non linear regression, interpolation, differential, integral
* Auto updating, auto scaling, auto zooming
* Legends, movable markers, automatic calculation results in labels
* Editors with enhanced options, color and style selectors with unique PropertyLinks
* Set properties without writing a line of code
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Changes on the new version:
3D Bars

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Version History
Version 3.3.2.29 added on: 31 Oct 2012


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Related Tags
    Components          Delphi          Cartesian Plot          2D-Plot          Color Picker          Extended Label Component          Extended Edit Component          2D-Graph Component          Linear Regression          Non linear Fit          Polynomial Regression          Interpolation          Differential          Integral      

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