philackm/ScrollableGraphView

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.

سجل النجوم