Available translations
loading results
Data Mining - Plotters
Summary: Plotters read data products created by bots and map certain coordinate points to use them as vertices for polygons, which are assigned styles to create graphic representations of the underlying data.
Foundations->Node->Plotter->Definition
A plotter is a device used to produce a graphic representation of datasets generated by bots.
Foundations->Node->Plotter->Content
Plotters usually have a one-to-one relationship with bots, as they are often created as a customized solution. However, in practice, there is no constraint to creating any number of plotters for a single bot or a single plotter for multiple bots.
The overall workflow of a plotter, while reading a dataset, consists in:
- Applying a set of rules to identify certain data points;
- Use those points to form lines and polygons;
- Apply graphical styles to those lines and polygons.
Foundations->Concept->Reusable Snippets->Note for Hierarchy Tables
Note: This page discusses the top-level information about the section of the hierarchy represented in the below table. Click on any of the nodes to get the details, including particulars on their configuration, when applicable.
Plotter Module
Foundations->Node->Plotter Module->Definition
A plotter module is a device within a plotter that contains the definitions to create the visualization for a product definition.
Foundations->Node->Plotter Module->Content
A single plotter may have several modules. Different modules may be used to plot each product of the bot, or as best suits the expected use-pattern.
Important: For a bot to use a plotter, the corresponding Product Definition must establish a reference with the plotter module built to interpret the dataset.
Data Mining — TOC
You just read page 21 in the topic.
3. Data Mining - Dataset Types
4. Data Mining - Datasets Type Conversions
5. Data Mining - Indicator Frameworks
6. Data Mining - Data Mine Hierarchy
7. Data Mining - Managing Execution
8. Data Mining - Data Dependencies
9. Data Mining - Status Reports
10. Data Mining - Status Dependencies
14. Data Mining - Fetching Data From APIs
15. Data Mining - Consuming Data From Strategies
16. Data Mining - Indicator Bots
17. Data Mining - Indicator Bots - Process Definition
18. Data Mining - Indicator Bots - Product Definition
19. Data Mining - Indicator Bots - Data Mining Workflow
20. Data Mining - Indicator Bots - Coding the Indicator's Logic