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Grapheme 2.6 released


We are proud to announce the release of Grapheme v. 2.6, our intuitive and powerful data visualization and analysis tool.

What’s new in Grapheme 2.5

This new release brings you a brand new module, specifically design to allow defining and operating with the most advanced Response Surface methodologies. This new module along with the pre-existing Design of Experiments one makes Grapheme a first in class product to perform data predictions and analyses.

Specifically, the new Response Surface module brings you:

  • a complete and exhaustive set of methodologies among which:
    • KNearest regression response surface;
    • Kriging predictor response surface;
    • Radial Basis Functions response surface methods;
    • Polynomial based response surfaces (arbitrary polynomial forms);
    • Least-Square user defined expression response surface methodology;
    • Radial Functions Neural Networks.
  • Validation Wizard: a wizard specifically design to check the goodness and the approximation robustness of a newly defined response surface against a set of samples.
  • :Evaluation Wizard: a wizard specifically design to evaluate the response surface in new observation points as well as to search for target values within the defined domain.

Grapheme’s Key Features:

  • import data from several file formats: flat, CSV, Matlab, Excel, Access.
  • import data directly from SQL databases, including Oracle, MySQL, Firebird, Postgres and many others.
  • interactive and integrated workspaces to bind and collect data sources, tables and charts within single projects.
  • advanced statistics and data manipulation tools, including user-defined regression and clustering algorithms.
  • a comprehensive set of 2D and 3D chart templates including lines, scatters, bubbles, bars, pies, surfaces, radars, parallel coordinates and many more.