Within Grapheme, charts and tables are interconnected. This assures that charts are updated every time data are filtered or changed from within project Tables. Moving from this concept, Grapheme brings you fully interactive and responsive charting capabilities. Additionally, Grapheme enables data-mining thanks to:
Indexing: i.e. Grapheme capability to define an index between the rows of two or more tables, linking and gathering data together;
Metadata: i.e. Grapheme capability to link table rows with external data, such as images, files, etc.
Have a look at the video tutorial on the left to see how Indexing and Metadata work within Grapheme.
The Statistical Analysis Module is an optional module made available in Grapheme to perform statistical analysis moving from the data stored in the project tables. The module is available in the Professional and Enterprise versions of Grapheme and it is built around the concept of Statistical Panels.
User friendly and intuitive Wizards guide the user in setting up and performing Statistical Analysis such as:
Descriptive Analysis, One Sample T- and Z-Test, Two Samples T-Test, Correlation Analysis, Covariance Analysis, Normality Test, Paired T-Test, One way ANOVA, One way ANOVA test, Two way ANOVA.
Have a look at the video tutorial on the left to see how Statistical Analysis Panels work within Grapheme.
The Automated Reporting feature of Grapheme – part of the Standard features – allows the user to extract data (i.e. tables, charts, analysis panels) from an existing project and to save them into a portable self-contained HTML document.
An easy to use Wizard helps the user defining new Reporting Templates to be used across multiple projects, providing full control on level of details, information and overall layout.
Once distilled, reports can be shared and freely distributed. Interactive charts and responsive layouts make Grapheme reports ready to impress your audience.
Grapheme brings you – as part of its Enterprise Edition – easy-to-use and well documented tools to work with external Databases and data sources. Our Data Analysis Chain composer allows you to create chain of tasks on imported data to extract and manipulate meaningful information. Thanks to our Analysis Chain technology you will be able to visually manipulate huge set of data so to extract and visualize meaningful set of information. With our Analysis Chain technology you will be in control of your data, in real time, without need to be a proficient data-analyst. Data analysis has never been so easy. Have a look at the video tutorial on the left to see how our Data Analysis Chain technology works within Grapheme.