metricsgraphics/metrics-graphics
Metrics Graphics
This project is an SVG data visualization library and charting engine designed to render quantitative metrics and time-series data within a web browser. It provides a framework for creating concise visual representations of numerical data sets, such as line charts, scatterplots, and histograms.
The library utilizes a component-based layout framework to organize visual elements into hierarchical structures with automated spacing and positioning. It includes a coordinate-space mapping tool that translates raw data values into pixel coordinates using linear scales and axis transformations.
The system converts numeric arrays into SVG vector elements through data-driven path generation and mounts the resulting graphics directly into document elements. It applies visual attributes and styles declaratively based on the input data configuration.
Features
- Data Visualization Libraries - Provides a modular library for rendering time-series charts and quantitative data layouts within web documents.
- Time-Series Visualizers - Creates line charts, scatterplots, and histograms from data arrays for time-series visualization.
- Data-Driven Shape Generators - Converts numeric arrays into SVG path strings to generate continuous lines and shapes representing time-series trends.
- SVG-Based Vector Rendering - Generates scalable graphics by constructing an XML-based document object model for precise control over visual elements.
- SVG Data Visualization - Renders time-series charts and quantitative data graphics using SVG vector elements in the browser.
- Screen Space Coordinate Mappings - Provides a coordinate-space mapping tool that translates raw data values into pixel coordinates for consistent SVG rendering.
- Chart Generators - Generates data graphics from arrays and mounts them directly into web elements for display.
- Data Graphics Frameworks - Offers a principled approach to creating consistent and concise visual representations of quantitative metrics.
- Quantitative Data Graphics - Provides a framework for creating concise and principled visual representations of quantitative data sets.
- Chart Layout Frameworks - Implements a structural approach for organizing visual elements into hierarchical layouts with automated positioning.
- SVG Attribute Styling - Applies visual attributes and CSS properties to SVG vector elements based on the input data configuration.
- Quantitative Layouts - Organizes complex numerical data into clean, consistent layouts following established visualization and spacing principles.
- Chart Layout Logic - Implements a component-based layout framework to organize chart elements into hierarchical structures with automated spacing.
- Chart Libraries - Optimized library for visualizing time-series data.
