Tackling Mobile Data Visualization: Challenges and Design Solutions
This article explains what data visualization is, explores the specific challenges of implementing it on mobile devices, and presents a comprehensive solution that includes a unified rendering engine, event and animation systems, extensible component architecture, and cross‑platform capabilities for both web and native environments.
Preface
Data visualization is the process of turning abstract data into visual forms such as line charts, bar charts, pie charts, and relationship graphs.
Mobile data visualization refers to implementing these visualizations on mobile devices, covering various real‑world scenarios.
1. Rendering Engine
The core of graphic rendering is provided by a unified rendering engine G (https://g-next.antv.vision/zh/docs/guide/introduce), which offers consistent UI drawing capabilities.
Rendering Capability
With this engine we can quickly draw UI elements in a simple and consistent way.
Event System
In addition to UI drawing, a standard event system is implemented.
Animation System
Animation is a core feature of visualization, and engine G includes a complete animation system.
Unified Rendering Engine FEngine
We provide a browser‑like rendering capability that allows UI construction via declarative tags, similar to the DOM, making it easy to use.
2. Visualization Capability
Visualization capability is the core function that maps data to graphics. The process includes data preparation, mapping, completion, and image processing.
The data mapping logic is separated from UI rendering, enabling flexible UI customization while reusing mapping logic.
3. Extension and Customization
By separating logic and UI, we can atomize charts into fine‑grained components and recombine them for different scenarios, achieving domain‑specific solutions and easier upgrades.
4. Cross‑Platform Capability
Mobile cross‑platform solutions cover both web‑based (H5, mini‑programs) and native environments. For web, we wrap the underlying drawing technology with a unified API. For native, we implement a native Canvas that mimics browser Canvas, allowing the same rendering engine to run across all platforms.
Conclusion
We invite readers to explore our GitHub repositories for deeper interaction:
https://github.com/antvis/FEngine
https://github.com/antvis/F2
https://github.com/antvis/F6
https://github.com/antvis/F2Native
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