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What are the five kinds of data visualization bi software that Python engineers like? for this question, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

1. Visualization of light fruit data

Dengguo data visualization BI software is a new generation of artificial intelligence data visualization large screen software, built-in rich large screen template, visual editing operation, you can create your own large screen without any experience, and is widely used in commercial, economic, medical and other fields.

The software supports national maps, provincial maps, world maps and 3D earth, special effects such as breathing points, flying lines, histograms, regional color blocks and location marks, map drilldown and chart linkage. Support LAN sharing and network public sharing, support CVM hosting, support software built-in viewing and Web viewing, which can be perfectly embedded in third-party systems. Support custom GeoJSON upload, support third-party 3D model import, support custom components, users can develop deeply customized visualization components and special effects online.

Download address on the official website: http://www.dengguobi.com/?type=download

Suitable for people: developers who pursue fast and beautiful appearance without writing a lot of messy code

2 、 Tangle

Tangle is a Java library and tool that not only visualizes, but also allows designers and developers to create reactive programs that provide a deep understanding of the relationships between data. For example, a web-side conversion calculator can convert currencies or measurements.

3 、 D3.js

An emphasis on web standards used to create data visualization Java library. Using HTML, SVG and CSS, users can manipulate DOM in a data-driven way, which meets the compatibility of current browsers and is not limited by dedicated frameworks.

4. FF Chartwell / / @ FontFont

FF Chartwell will convert simple numeric strings to editable data visualization, and further customize the use of OpenTy functionality. It can be used in standard design suites, such as Adobe CreativeSuite, to simplify the design of charts.

5. SAS VisualAnalytics / / @ SASsoftware

The SAS visual analysis tool can explore the visualization of data sets of various sizes for more comprehensive analysis. With intuitive platforms and automated forecasting tools, SAS Visual Analytics allows even non-technology-based users to explore deeper relationships between data and potential opportunities.

The answers to the questions about the five favorite data visualization bi software of Python engineers are shared here. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel for more related knowledge.

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