In the era of information explosion, more and more data are piled up like mountains. However, this dense data is unfocused and less readable. Therefore, we need data visualization to help the data be easily understood and accepted. In contrast, visualization is more intuitive and meaningful, and it is very important to use appropriate data visualization tools to visualize data.
In this article, I will introduce the more popular data visualization tool software in the domestic market, hoping to help you quickly choose the tool that suits you.
echarts
ECharts is a JavaScript-based data visualization charting library. The bottom layer relies on the lightweight Canvas class library ZRender. Based on the BSD open source protocol, it is a very excellent visual front-end framework. Provide intuitive, vivid, interactive, and highly customizable data visualization charts. ECharts was originally open-sourced by the Baidu team, and was donated to the Apache Foundation in early 2018, becoming an ASF incubation-level project.
DataV
DataV is a drag-and-drop visualization online tool produced by Alibaba Cloud, specializing in big data visualization that integrates business data and geographic information. Use functions such as data connection, visual component library, industry design template library, multi-terminal adaptation and release operation and maintenance, so that non-professionals can quickly convey the value of data through vision.
Fine BI
At present, one of the most widely used self-service BI tools in the domestic market is similar to foreign BI analysis tools such as Tableau, but FineBI can better solve the situation of domestic enterprises in terms of coordination and data permissions. In addition to providing chart analysis, the dashboard can also allow users to flexibly analyze the layout of data charts, construct the thinking logic of data charts, and then achieve the purpose of effective communication or data reporting.
SovitChart
SovitChart is a very good online building tool for data visualization applications. Based on Echarts research and development, it provides rich templates and graphics, supports multiple data sources, drag-and-drop layout, and supports cloud and local deployment. Through rich component libraries and template libraries, as well as intelligent auxiliary means, the construction threshold for non-professional developers is greatly reduced. Overall, it is a very good visual large-screen design product, and the personal version is free. There are also 2D configuration visualization platform - Sovit2D and 3D IoT visualization platform - Sovit3D.
Smartbi
Smartbi is a comprehensive BI tool that implements query, report, self-service analysis, multi-dimensional analysis, dashboard, mobile analysis, data collection, data mining and other auxiliary functions based on a unified architecture, and has special functions such as analysis reports and voice analysis combined with AI . In addition to supporting the use of Excel as a report designer, it is perfectly compatible with Excel configuration items. Supports all built-in Excel graphics, background graphics, conditional formatting, etc. to design complex dashboard styles, and supports the complete ECharts graphics library, supporting a variety of graphics, including waterfall diagrams, relationship diagrams, radar diagrams, oil volume diagrams, and heat diagrams Dozens of dynamic and interactive graphics such as , tree diagram, etc., with the help of geographic information technology, it also creates a map analysis function.
chart show
Chart Show is an online chart making software, but it focuses more on the data visualization function. Its visualization effect is also very good, and it can create many exquisite data charts and data analysis reports. Provide more than ten types of visual charts, such as chord chart, rose chart, scatter chart, etc., select the template you need to make, and just edit the text and chart content on the basis of the template.
Data visualization practices are an essential part of how businesses make decisions today. Businesses must strive to understand best practices in data visualization to produce the best results.