Introduction to mainstream data visualization tools: FanRuan FineBI

There are many data visualization tools on the market now, such as mainstream tableau, qlikview, powerbi, finebi, plotly, Visually and so on. In the previous two articles, I introduced tableau and ploty to you respectively, and reviewed them in one sentence: tableau is the best self-service data visualization tool, and plotly is an online data analysis and charting tool.

The finebi (www.finebi.com) to be introduced today is a domestic software. In one sentence, it is the most user-friendly self-service visualization tool. Finebi can configure the relationship between tables at the front desk, and drag and drop to generate data analysis reports. It is simple to operate, easy to use, and conforms to the understanding, operation and learning habits of business personnel, and is very user-friendly.


The following uses an example to show the process of data visualization analysis by finebi.

1. Create a new dashboard, and then drag and drop some analysis components, such as tables, column charts, bar charts, maps, bubble charts, etc.

2. Bind the data for the selected graph. In the picture below, the left side is the data field. Just drag it to the right category, data axis, etc., and then the finished graph will be displayed in the lower right corner.

3. Click Finish, and then publish it. You can also do a lot of such analysis. Let me take the column chart as an example. This is the final form in the operation design interface,

4. If you configure the relationship between the charts, it is also possible. Finebi can achieve effects such as linkage and drilling, which are all fool-like drag-and-drop operations. For example, linkage, click linkage to it.


Through the exploration and use of finebi, I found that finebi is not only friendly to front-end business personnel, but also to the back-end IT personnel. For example, with its own ETL tools, they do not need to write a lot of SQL to fetch numbers.

From a functional point of view, finebi's functions are comprehensive, but not very prominent. For example, there are relatively few types of charts supported. It is not suitable for making colorful infographics. But finebi also has good features, such as excelview, data map, spa spiral analysis, ad hoc analysis is still very practical.

From a performance point of view, finebi runs a 100-group table with a data volume of 100 million, and the time is about 0.75s, which is still possible.

Strictly speaking, finebi is a self-service BI analysis tool, because it not only has front-end data analysis and operation functions, but also data management, IT-centric enterprise-level management and control, as well as better mobile support, native The APP also supports DingTalk and WeChat enterprise accounts, and the experience is also good. The following is the entire technical architecture of finebi.

To recap, finebi has more comprehensive functions and no obvious shortcomings, but the most impressive thing is its simple operation. Well, finebi is introduced here. In the next issue, I will introduce you to the traditional high-quality data visualization product qlikview. You are welcome to continue to pay attention and don’t forget to like it.

 

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