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Data visualization can be achieved in a few minutes. How do you do that?

2025-01-16 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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With the accumulation of enterprise data, the data produced by enterprises are becoming more and more complicated in terms of quantity space and dimension level. In the face of a large amount of data, management often sighs: either a large amount of data produced by enterprises can not be used effectively to provide a basis for decision-making, or the data display model is complex and obscure, unable to quickly identify effective information. How to extract, process and refine the massive data and show it visually to change the traditional text description recognition mode, so that decision-makers can grasp important information and understand important details more efficiently? this is related to the formulation of major decisions and the research and judgment of the development direction of enterprises.

Data visualization can provide an ideal solution to the above problems. Data visualization refers to displaying data in the way of bar chart, pie chart, line chart and so on, so that decision makers can understand the important information and level of detail of the enterprise more efficiently. A large number of research results show that human beings can obtain information much faster through graphics than by reading text, so it helps users to change the traditional data recognition mode through visualization.

I think a good data visualization tool should have the following aspects:

(1) can support the access of multiple data sources, such as Excel files, CSV, relational database, big data storage platform, search engine.

(2) various data modeling methods, such as drag-and-drop modeling, SQL modeling, stored procedure modeling.

Drag-and-drop modeling and SQL modeling

(3) display rich visual components, such as bar chart, line chart, pie chart, gis map, Sanji chart, table, rising sun chart, parallel coordinates, calendar heat map.

(4) various interactive analysis operations, such as data linkage, drill-up, drill-down, parameter filtering, component filtering.

(5) flexible and own layout.

(6) easy to share and view

The above cases are completed by NBI big data Visualization tool (http://nbi.easydatavis.com:8033)

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