![]() Publication-quality 2D plots of various types including symbols/lines, bars and pie charts which can be exported to a variety of formats (JPG, PNG, EPS, PDF, SVG and more).Plotting data is a key part of any science. Extensive support for fitting linear and nonlinear functions to the data, including multi-peak fitting. Posted Jul 10, 2020T00:00:00+01:00 by Adam Luke Baskerville.Many built-in analysis operations like column/row statistics, (de)convolution, FFT and FFT-based filters.Multi-level undo/redo for tables and matrices.The plotter uses an array of values to determine how the curve should be drawn to pass through each point. Each table cell can be assigned an individual formula. A chart plotter is a tool used to visualize a curve. ![]() Cell values in tables can be computed using standard and special functions (and much more if you have Python installed).Scientific research often yields data that has to be analysed. Data for tables or matrices can be entered directly or imported from ASCII files. To add another graph to the plot just write a new addplot entry.Tables (2D data), matrices (3D data), graphs (2D or 3D plots) and notes (text notes or scripts) are gathered in a Project and can be organized using folders. ![]() SciDAVis runs on GNU/Linux, Windows and MacOS X possibly also on other platforms like *BSD, although this is untested. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility. SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. Description It can plot an equation where x and y are related somehow (not just y.), like these: Examples: x2+y29 (an equation of a circle with a radius of 3) sin (x)+cos (y)0. Available for Windows, macOS, Linux and FreeBSD.Smooth data import and export to and from multiple formats.Intuitive and fast computing with interactive notebooks.Reliable and easy data analysis and statistics, no coding required. ![]()
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