The current development trend of visualization can be said to be getting better and better. With its development, many visualization tools have appeared, and of course there are data visualization programming software. But which one should I choose? Let's first understand what visual programming is!
The so-called visual programming is actually a concept proposed by Google. Based on the principle of "what you see is what you get", it strives to realize the visualization of programming work, that is, the results can be seen at any time, and the adjustment of the program and the result is synchronized. If used properly, visual programming and graphical reasoning are a very powerful tool set. In other words, only when visual programming is rooted in mathematics and computer science and has a solid foundation, can it play a good role. In order to reduce the difficulty of programming, we have abstracted our code, and visualization methods such as diagrams are just another way to achieve abstraction.
Compared with traditional programming, this programming method has a variety of advantages. It does not require our troublesome configuration, complex programming environment, and does not require too high hardware configuration. It also has more beautiful operations for business personnel. interface.
But the current data visualization programming software is not yet mature. First of all, drag-and-drop tools are the main reason for my personal frustration, and it seems to be the reason for the infamy of visual programming. For example, when building a website, we use drag and drop instead of Node.js technology, which will seriously hinder the programmer's workflow. Moreover, the tools they are accustomed to cannot be used normally.
In addition, the way of visual programming greatly reduces the degree of freedom and controllability of programming. This is a typical reason for the failure of visual programming. There are many examples, such as the clumsy drag-and-drop interface, which claims to simplify programming, but actually makes programming more and more complicated and ultimately fails. This happens because the complexity lacks the correct structure and cannot be managed.
Comparing the advantages and disadvantages, you will find that visual programming is not optimistic. Although its poorly constructed abstraction eliminates some low-level complexity, it makes most programmers pay a heavy price that they are unwilling to bear.
If you want to use data visualization programming software, it is recommended that you choose a visualization tool, such as Smartbi, which can do reports and large screens, including data integration, modeling, analysis, and charting, which is very suitable for enterprise use.
Smartbi is not too difficult to use, and the effect is good. The operation method is also quite convenient, basically by dragging the dimensions and metrics of the data to the work area to form a visual chart, and you can change the color, chart type, and various other details. Many functions of Smartbi can be dragged and dropped to the work area by a few clicks and dragging with the mouse. It is very simple. Basic functions do not require code, and suitable charts are automatically recommended. Of course, you can also develop and control self-service dashboards in depth by using TypeScript and API interfaces to meet your own personalized needs. Write code to develop your own functional modules. Make a visual chart of your own.