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Grapheme Software

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Grapheme
File:Background 10.png
Original author(s)iChrome Ltd
Developer(s)iChrome Ltd
Initial release2016 (2016)
Stable release
2.5 / March 24, 2020; 6 years ago (2020-03-24)
Engine
    Operating systemWindows, Linux
    TypeStatistical analysis
    LicenseTrialware, Commercial
    Websiteichrome.com/grapheme

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    Grapheme is a data analysis, visualization and statistics package software developed at iChrome Ltd.

    History

    Grapheme is developed and distributed by iChrome Ltd, a privately owned company headquartered in Bristol, United Kingdom. Grapheme was originally developed as a Java-based general purposes charting library at iChrome Ltd to be used as Eclipse RCP plugin within iChrome's products. Later on, in 2015, Grapheme was evolved into a stand-alone and self-contained software for data flow, interactive visualization and statistical analysis[1].

    Modules and Capabilities

    Grapheme is a data visualization and analysis tool. Grapheme is organized in three main modules:

    • Data Flow and Database Connectors
    • Charting and Interactive Data Visualization
    • Statistical Analysis and Regression

    Data Flow and Database Connectors

    This module allows importing and connecting data from external software and sources. Users can define data analysis chains to manipulate and stream large sets of data from raw sources into aggregated meaningful sets of information either via scripting or visually via the Graphical User Interface.

    File:Grapheme ChainExample.png
    An example of data analysis chain within the Grapheme software

    The data flow module provides data operations such as:

    • Expressions to combine existing results into new outputs;
    • Filters to filter out specific subsets of values. Among those operations:
      • Pareto filter;
      • Percentile and range based filters;
      • validity filters, i.e. filters to exclude NAN, empty or invalid values;
    • Join and Aggregation to join and aggregate results via user-defined matching rules, i.e. indexing

    Charting and Interactive Visualization

    Grapheme links the imported data to charts, providing internal indexing, so that changes in data sources and data-table within the project are propagated to the user-defined charts and visualization panels. The charting library of Grapheme is based on series that can be combined into multiple chart templates. Grapheme provides:

    • 2D cartesian charts:
      • line scatters, clustering, regressions and bubble charts
    • 3D cartesian charts:
      • surface and wireframe plots, 4 and 5 dimensional bubble charts
    • Category based-charts
      • bars, pies, candle-stick
    • multi-axis charts
      • parallel coordinates and radial charts

    Statistical Analysis and Regression

    This module uses the data made available within a project to perform statistical analysis. Results are organized in panels to display meaningful results both via ad-hoc charts and in tabulated format.

    File:Version.2.4 1.png
    An example of statistical analysis panel within the Grapheme software

    Wizards guide the users in setting up the analyses. Grapheme version 2.5 groups the analyses panels as follows:

    • Statistical Analysis:
    • Regression Analysis:
      • Single Predictor fitting
      • Multiple Predictors non-linear and polynomial fitting
    • Control Panels:
      • Symmetry chart analysis
      • Multi-Vari chart analysis
      • Pareto Chart analysis
      • Interval Chart analysis
    • Quality (Six-Sigma) and Process analysis:
      • Attribute Agreement Analysis
      • Capability (Normal) Analysis
      • Gage Linearity and Bias Analysis
      • Process Control Analysis

    See also

    References

    1. "Grapheme Product Page". ichrome.com. Retrieved 2020-04-04.

    External links


    This article "Grapheme Software" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Grapheme Software. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.