How to carry out data Visualization of ROCKET

How to visualize ROCKET data, many novices are not very clear about this, in order to help you solve this problem, the following small series will explain in detail for everyone, there are people who need this can learn, I hope you can gain something.

Graphic operation, flexible layout, WYSIWYG.

By dragging, pulling, dragging can be flexible layout.

All attribute configurations are WYSIWYG, no need to wait for refresh after operation.

Rich in charts

Covers various industry charts to meet various needs.

Bar, Line, Pie, Scatter, Map, Radar, Dashboard, Funnel, Water Polo, Table, List, Rich Text, Title.

There are also shortcuts to various common forms. Oh, look below.

And Rocket supports custom charts!!!

multiple data sources

Support relational database MySQL, ORACLE, PostgreSQL, etc.

Support elasticsearch

Support for custom APIs

multi-dimensional data analysis

Rocket supports data drilling

Data drilling is to subdivide and present data according to a specific hierarchy or condition, so as to view the data in more detail layer by layer, and perspective the data based on the data drilling function to discover more secrets behind the data.

Rocket supports chart linkage

Multi-dimensional effective analysis for data linkage viewing of multiple charts

privatization deployment

Locally deploy Rocket to create a proprietary data visualization platform

Rocket can be quickly integrated with other systems

Rocket's publishing feature creates a direct link to the dashboard or dashboard, or copies the generated code for embedding into other systems.

Rocket compatible with a variety of devices PC/mobile phone/tablet/large screen…can be anytime, anywhere arbitrary display

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