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This article will explain in detail what are the practical big data visualization toolsets, and the content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Recommend some simple tools that can be applied in daily work, or necessary for personal learning data analysis and visualization.

Echart

A pure Javascript data visualization library, Baidu products, often used in software product development or web page statistical chart module. Visual charts can be highly customized on the web side, with many kinds of charts, dynamic visual effects, and all kinds of charts are completely open source and free of charge. Being able to handle a large amount of data and 3D drawing is not inferior, and it is said that the use of Baidu Maps is excellent.

Echart is still used for some development scenarios, but it also derived a 0 code chart generator-"Baidu Graph Theory". I experienced that the operation is basically to select an icon, copy the data over, and then generate a chart and save it as a graph or code embedding.

Highcharts

When it comes to Echarts, it will be compared with Hicharts, and the two are a bit like the relationship between WPS and OFFICE, not Echarts, daily chart dynamic effect Echarts is enough. Highcharts is also a visualization library, but it is foreign, and commercial users need to pay for it. Its advantage is that the document is detailed, the example is also very detailed, which js scripts rely on in the document, css are very detailed, learning and development are relatively time-saving and labor-saving, the corresponding product stability is strong.

Tableau

Almost everyone will mention the data analyst tools, built-in commonly used analysis charts, and some data analysis models, can quickly explore data analysis, the production of data analysis reports.

Because it is business intelligence, the problem solved is more business analysis, dynamic interaction diagrams can be made quickly with Tableau, and diagrams and color matching are also very handy.

PowerBI

BI products launched after Excel can be seamlessly connected with Excel to create personalized data Kanban.

The excellent visual analysis tool of big data in NBI

NBI one-stop big data analysis platform, as a new generation of self-service and exploratory analysis tools in China, always starts from the point of view of users in the concept of product design, and always revolves around a new product that is simple and easy to use and emphasizes interactive analysis. We integrate all aspects of data analysis (data preparation, self-service data modeling, exploratory analysis, authority control) into the system, so that enterprises can manage and analyze data orderly and safely.

NBI one-stop self-service big data visual analysis platform NBI data analysis decision-making large screen consultation and customization service as long as drag-and-drop or click in the system, you can build exquisite data visualization analysis reports in a few minutes.

Omni-directional data access, lightweight data modeling

Seamlessly connect all kinds of enterprise data, bid farewell to data islands, drag-and-drop data modeling, data preparation

It's that simple.

An easy-to-use visual analysis tool

No technical background, just drag and drop to immediately convert the complicated basic data into simple and easy

Understand all kinds of graphics, understand the business status of the enterprise in real time, so as to make more informed decisions in time.

NBI has dozens of traditional graphics and new big data graphics components (such as Sanji Chart, treemap, hierarchical Cluster Chart, rising Sun Map, Thermal Matrix, Calendar Matrix, gis, etc.) that allow you to easily build all kinds of cool data screens.

On the practical big data visualization tools which are shared here, I hope that the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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