#VSeed

#What is VSeed?

VSeed is a visualization tool for data analysis, focused on providing highly consistent data transformation capabilities across different chart types, along with a set of out-of-the-box features to meet lightweight data analysis needs.

#What are VSeed's Advantages?

First, it's genuinely easy to use. Second, it's truly flexible. Third, VSeed contains many abstractions — you need to understand how VSeed performs data reshaping to use it perfectly.

1. The most intuitive way to switch chart types Demo
2. The easiest-to-use pivot charts Demo
3. Powerful data reshaping — no manual data processing needed; any number of dimensions and measures, any chart type can be rendered Demo
4. VSeed is fully serializable, enabling cross-platform transfer of VSeed DSL Demo
5. Out-of-the-box: number formatting, internationalization, light/dark themes, common styles, and more Demo
6. Excellent data processing performance — supports Node.js-side data processing with Web-side visualization Demo

#What are VSeed's Limitations?

1. VSeed does not handle fine-grained customization of individual chart details — that's the responsibility of VChart and VTable. VSeed only provides the ability to flexibly modify spec; users can customize every chart detail according to their needs.
2. Only datasets conforming to the tidyData specification can be visualized by VSeed. Non-standard datasets are not accepted.
3. Built on top of the VisActor ecosystem — users need to understand the basic concepts of VChart and VTable.

#What are VSeed's Principles?

1. VSeed must support serialization.
2. VSeed should not provide excessive style configuration — it should focus on the relationship between charts and data.
3. VSeed should encapsulate common general-purpose features in the analytics domain, such as number formatting, internationalization, themes, common styles, and common functionality — providing them out of the box.
4. More flexible customization should be handled by users themselves. Therefore, VSeed only exposes a Spec Builder for building VChart and VTable specs.
   • Users can flexibly control VChart and VTable instances.
   • Users can modify VChart and VTable specs according to their needs.

#Why Design VSeed?

1. VChart can never seamlessly switch to VTable and vice versa — for such needs, a higher-level abstraction layer is inevitable.
2. Users of VChart and VTable must process data themselves — this work gets repeated hundreds or thousands of times unintentionally. VSeed aims to reduce data processing complexity in common scenarios and eliminate repetitive work.
3. Lowers the barrier to using VChart and VTable to some extent — for example, rendering PivotChart with VTable.
4. VSeed may ultimately evolve into a sub-module of HeadlessBI, used to build general-purpose data analysis tools.