Networks and complex systems, dynamic and hierarchical graphsĭiagrams, Live Data Analysis, Public DashboardsįreeBSD, Linux, Mac OS X, OS/2 (including eComStation and ArcaOS), Solaris, Windows, Android Very good for rendering Geometry, Graphs, Statistical Diagrams, (LaTeX) Formula Rendering. Get 90+ chart types and 965 maps, readymade business dashboards and demos. Interactive JavaScript Charts for your Web & Mobile applications. GUI (web based), JavaScript Charting LibraryĪll Web Browsers (including IE 6), JS Engines Online spreadsheet service due to end May 1, 2014Ĭreates ODE solving interactive, ready-to-publish Java applets Generates a ranked list of several plots & visualizations based on an analysis of the data provided, allowing the user to choose their favorite graphic, share it, and export it as an image.ĢD graphing, animations, data analysis, linear and non-linear curve fitting.ĢD & 3D graphing, animated graphs, data analysis, curve fitting, and data monitoring. Numerical analysis and signal processing with a spreadsheet-like interface Graphs in polar (or other) coordinates become specific cases of parametric graphs. Open interfaces and formats for particle physics data processing either it is provided specifically for information visualization.either includes the ability to create one or more infographics from a provided data set.You might want to explore the documentation to check if this package might be of any value to you.This is a list of software to create any kind of information graphics: The site linked above also includes access to a user-manual, Wiki, a journal, and FAQ's, (and I believe there is also support available via a user's forum). It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. ) and graphical techniques, and is highly extensible.One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.Īt the link provided above, you can access and download free software designed especially for statistical computing and data anaylysis. provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering. R is a language and environment for statistical computing and graphics. If you have an on-going need for the modeling and analysis of data, you might want to check out This option doesn't presume much in the way of users' knowledge relating to statistical anaylysis. You might also want to take a look at scikits-learn (another python package), Īccessible via the link, and free to download, with access to documentation. You will have to install python, numpy and scipy. It's free and available on Windows, Linux and OS X. The 'splines' library for R can be used for this.Īlso, let me give an honorable mention to python. Here, we get around the lack of knowledge about the overall functional form, by modelling the curve locally. Īnother idea is doing a spline regression. It takes a bit of computational time, but it will be attempting to build a formula for your data. The approach is based on genetic algorithms which do a symbolic regression. It uses artifical intelligence to guess what formula might be generating your data. If I understand your question correctly, you want to fit a function to your data, but you don't have any idea what family of functions to use.
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