philackm/ScrollableGraphView
ScrollableGraphView
ScrollableGraphView is a Swift data visualization library and iOS plotting framework used to render discrete numerical datasets as interactive graphs. It provides a scrollable user interface component that visualizes data points using a coordinate system with configurable layouts and styling.
The framework is characterized by its adaptive graph scaling, which automatically adjusts the vertical axis to fit the visible data points as the user scrolls. It supports real-time data rendering, allowing graph views to update instantly as underlying datasets change through animated transitions.
The library covers a variety of plot types, including line, bar, and dot plots, and supports multi-dataset plotting to display multiple data series on a single graph. Additional capabilities include x-axis data point labeling, custom chart styling, and the use of reference line markers to highlight specific thresholds or baseline values.
Features
- iOS Plotting Frameworks - Serves as a comprehensive framework for displaying multiple data series on a single coordinate system with configurable layouts for iOS.
- Numerical Data Visualizers - Provides a framework for rendering discrete numerical datasets as interactive, scrollable graphs.
- Dynamic Viewport Scaling - Calculates vertical axis limits dynamically based on the minimum and maximum values of points currently visible.
- Visualization Coordinate Mapping - Implements logic to translate discrete numerical data values into visual pixel coordinates for chart rendering.
- Real-Time Plot Updates - Updates visual plot elements in real-time to reflect changes in the underlying numerical dataset.
- Swift Data Visualization Libraries - Provides a comprehensive set of tools for rendering discrete numerical datasets as interactive graphs and charts in Swift.
- Axis Scaling Engines - Manages dynamic vertical scale adjustments to maximize visual detail based on visible data points.
- Multi-Series Plotting - Displays multiple data series on a single graph to allow for direct comparison between value sets.
- Axis Scaling Transformations - Automatically adjusts the vertical axis scale to fit visible data points during scrolling.
- Mobile Data Visualization Libraries - Provides a library specifically optimized for rendering interactive charts and graphical data representations within native iOS environments.
- Dynamic Scaling Graph Views - Provides a scrollable UI component that automatically adjusts the vertical axis to fit visible data points as the user scrolls.
- Data Transition Animations - Provides smooth visual transitions for data points when numerical ranges or plot values are updated.
- Reference Line Annotations - Draws static horizontal or vertical markers to highlight thresholds or baseline values on the graph.
- Point Marker Styling - Defines visual representation of data points using custom shapes, sizes, and fill colors.
- Multi-Series Overlays - Supports drawing several independent datasets on the same axes, each with its own style and legend entry.
- Graph Layout Configurators - Configures margins, point spacing, and scroll direction to control dataset positioning and navigation.
- Layered Visualization Composition - Allows overlapping multiple visualization styles to let different data series share a single coordinate system.
- Real-Time Plot Rendering - Implements dynamic updating of visual elements to reflect live data streams in real time.
- Line Plots - Draws line graphs with customizable colors, widths, smoothing, and gradient area fills.
- Composite Plot Types - Combines different plot styles like lines and bars on a single graph for composite data views.
- Bar Style Customizers - Customizes bar chart appearance including width, outline thickness, colors, and corner rounding.
- Axis Labeling - Displays identifying labels for data points along the horizontal axis with configurable styling.
- Charting Components - Offers a customizable drawing tool for creating line, bar, and dot plots with animated transitions and reference lines.
- Chart Visual Style Customizations - Provides tools to customize the aesthetic appearance of bar, line, and dot plots.
- Charts - Visualizes discrete datasets with scrollable graphs.
- Data Visualization - Adaptive scrollable graphs for discrete datasets.
