Visualizers

In Megaladata, visualizers are built-in tools that allow you to configure a convenient data display.

Working with visualizers

To add a visualizer, click the Configure visualizers Configure visualizers button on a workflow node.

In the window that opens, you will find a list of visualizers available for the node, represented as a tree on the left. On the right, there will be a list of the node's output ports whose data can be visualized. Below each port's name, there is an Add visualizer area with a "plus" icon.

To add a visualizer, either select it from the tree and click on the desired output port, or drag it directly to the port. The visualizer's image will appear with Enter and Delete buttons.

To remove a visualizer, click the Delete Delete button in the upper right corner of the visualizer.

Important: Different visualizers are designed for different data ports. If a visualizer is not supported by the port, it will not be added. Some visualizers are component-specific and only appear in the list for certain nodes.

You can convert any visualizer into a report. Select the desired visualizer and click Add to reports on the toolbar or in the context menu. You can add the visualizer directly or place it within a report group, creating a new group if necessary. The visualizer will then be accessible in the Reports section of the Navigation pane. You can open it via the main menu or by using the Show in reports command that will appear in the visualizer's context menu.

To configure a visualizer you added, click Enter and proceed to the wizard. You will find more information on setting up individual visualizers in their dedicated subsections.

Available visualizers

Table view visualizers

  • Chart Chart: A graphical representation of data.
  • Data Quality Data Quality: Performs a comprehensive assessment of data quality for each field.
  • Cube Cube: A multidimensional representation of data.
  • Statistics Statistics: Statistical indicators for the dataset fields.
  • Table Table: A tabular representation of data.

Component-specific visualizers

  • Duplicates and Contradictions Duplicates and Contradictions: Intended for viewing duplicate and contradictory records of the source dataset. Available for Duplicate Detection nodes.
  • Coarse сlasses Coarse сlasses: Represents the results of the optimal quantization procedure in the form of fine and coarse classes, a WoE chart, and information values (IV). Available for Coarse Classes nodes.
  • Cluster Profiles Cluster Profiles: Various statistical indicators of clusters, the structure of clusters, and their comparison with each other. Available for Clustering and EM Clustering nodes.
  • Linear Regression Report Linear Regression Report and Regression Report Regression Report: Statistical parameters and statistical testing results for regression models. Available for some regression nodes.
  • Binary classification assessment Binary classification assessment: Generates data series sets for chart construction. Defines optimal cutoffs and calculates classification assessments. Constructs histograms of the distribution of events and non-events in samples to obtain series points. Available for Logistic Regression nodes.

Additional visualizers

There are also two specific visualizers for preliminary examination or control of data. These are unavailable in the standard Configure visualizers wizard:

  •  Quick view: A representation of a node's output. Available on an active output port.
  •  Preview: A data preview option available within the wizards of some nodes, such as Calculator, Database (import), or JavaScript.

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