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JD Cloud Data Visualization is a data visualization tool based on real-time multi-layer rendering technology that displays real-time scenario of mass data. It is also a graphical development tool for Data Visualization. Non-professional data engineers perform WYSIWYG visual processing on data to build a data visualization by dragging and dropping. Meanwhile, it provides professional templates applicable in multiple industries covering e-commerce sales, agriculture, medical services, government affairs, which meets the needs of businesses such as conference and exhibition, workload monitoring, risk warning, and geographic information analysis.Try Now
JD Cloud Data Visualization templates comprehensively integrate color matching, component layout and data level association design, and integrate implementation cases of various industries and scenarios to provide users with professional general solutions for specific industries and specific scenarios.
JD Data Visualization provides line chart, column chart, scatter chart, pie chart, water level map, radar chart, K-line chart, box line chart, calendar heat map, relationship chart, funnel chart, Sankey diagram, instrument panel, etc. It satisfies users for multidimensional data analysis and presentation.
Provide 2D, 3D map components, support GIS maps and data interfaces. Data representation can also be superimposed on flying lines, heat, bubbles and other data effects.
Support Json format static data, RDS Cloud Database, local relational database, JD Cloud Data Compute and online API. Meet your needs of real-time computing and monitoring of all kinds of big data, to give full play to the computing power of big data.
The traffic of the arterial roads in Beijing If the whole arterial road shows as a blue lines, it means the traffic conditions are good and the road is smooth. The bright spots moving on the arterial road representing the locations of special vehicles (roadside assistance vehicles, etc.) Urban buildings Adopts 3D clay model technology to model the downtown of Beijing.
Show sales situation by category and by channels, and information of newly added members through lists, column charts, line charts, and charts that show the proportion of indicators Present geographic information through various means such as geographic fly lines, thermal distribution, and scatters.
Adopt the GIS map to show the spatial distribution of service providers. Use bubbles to represent the locations of service providers, the size of the bubble indicates the degree of concentration of population. And basic components such as proportion and lists will be combined to give comprehensive description.