Grapheme

What is Grapheme ?

Benefits of Grapheme

The intuitive and powerful data visualization and analysis tool.

Grapheme offers advanced data filtering and manipulation capabilities, along with interactive and very responsive plotting capabilities that allow you to explore and understand complex arbitrary sets of big data.

Key benefits of Grapheme

• Get noticed with modern, clean and effective 2D and 3D interactive graphics;
• Easy-to-use, intuitive and flexible graphical interface;
• Advanced statistical analysis panels, including Six-Sigma, Clustering and Regressions algorithms;
• Design of experiments and response surface methodologies;
• Import data from various file formats: Simple, CSV, Matlab, Excel, Access;
• SQL database connector(s) to import data directly from SQL databases, including Oracle, MySQL, Firebird, Postgres and many others;
• GUI-based data analysis workflow to transmit and manipulate input data;
• No training required to become proficient in using Grapheme;
• No maintenance overheads and free updates and bug fixes in perpetual license schemes
• Ability to handle datasets that are too large for many other business solutions on the market

  Grapheme Features

Advanced Data Visualization

In Grapheme, graphs and tables are interconnected. This ensures that charts are updated whenever data is filtered or changed in the project tables. Starting from this concept, Grapheme offers fully interactive and responsive graphics features. In addition, Grapheme enables data mining thanks to:

• Indexing: that is, Grapheme's ability to define an index between the rows of two or more tables, linking and gathering data;
• Metadata: that is, grapheme ability to link table rows with external data such as images, files.

Statistical analysis and Six-Sigma dashboards

The Statistical Analysis Module is designed to perform statistical analysis within Grapheme, moving from the data stored in the project tables. The module is built around the concept of easy-to-use and intuitive statistical dashboards. The step-by-step wizards guide the user in setting up and performing statistical analyses such as: descriptive analysis, one-sample T and Z test, two-sample t-test, correlation analysis, analysis of covariance, normality test, paired t-test, one-way ANOVA, one-way ANOVA test, two-way ANOVA.

Design of experiments and response surfaces

The Response Surface Module allows you to define the design of experiments and create response surfaces from the data stored in the project. User-friendly and intuitive wizards guide the user through the creation and step-by-step validation of Response Surfaces using best-in-class available methodologies:

• Design of experiments: Box Behnken, D-Optimal, Latin cubes, Latin squares, Montecarlo, Sobol, Taguchi
• Response Surfaces: K-Nearest, Kriging, Radial Basis Functions, Polynomial, Neural Networks

Data analysis chains

Grapheme offers – as part of the Professional and Enterprise editions – well-documented and easy-to-use tools for working with external data sources. The data analysis task flow allows you to chain data manipulation tasks into imported data. Thanks to this chaining technology, you will be able to visually manipulate a large set of data to extract and visualize a significant set of information. With Data Analytics Taskflow, you'll be in control of your data, in real time, without the need to be a proficient data analyst or developer. Data analysis has never been easier.

System Requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD/SSD: 50 GB of free space on main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit, and Microsoft Windows Vista 32-bit

Resolution: 1024×768