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This article mainly introduces "what is the premise of web data visualization". In daily operation, I believe that many people have doubts about the premise of web data visualization. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful for you to answer the questions of "what is the premise of web data visualization?" Next, please follow the editor to study!

Candela

It is mentioned that open source and Java,candela are definitely one of the best software packages for data visualization. The package comes with a standardized API that can be used in real-world data science applications and can be used through the Resonant platform.

Candela can be installed from a standard package system or from source code. In addition, although the first installation process is simple, it does not have many public distributions. In addition, installing from source code is slightly more complicated, but allows users to run the latest development version.

Charted

Charted is an open source tool that automatically visualizes data. All you have to do is provide a link to the data file, and the tool will produce a shareable visualization of the data. Charted was created in 2013 by Medium's product science team, and the files it uses are publicly accessible to anyone with links. Also, if you want to know about protected or sensitive data, you can serve your own Charted instance on its secure network. Since its inception, the tool has been very popular in analyzing data and communicating results with data science teams.

Chart JS

Chart JS is an open source diagram library about community maintenance. It can help data scientists to use Java to visualize data. However, before using the tool, you must include the library in the front-end code.

To install the library, you can download the latest version from the GitHub version.

D3.js

D3.js is a Java library for data-based document processing. The library helps develop data visualization by using HTML, SVG, and CSS. The main feature of this platform is to provide users with all the functions of modern browsers without binding proprietary frameworks, combining powerful visualization components and data-driven document object model (DOM) operation methods.

Datawrapper

Datawrapper is an open source mobile data visualization platform that helps everyone create simple, correct, and embeddable charts in minutes. The tool is available in both free and paid versions (the free version is for a single user and supports 10000-month chart views).

The tool is designed in a simple way, you just need to upload your data, review and describe it, and the data visualization will be complete. In addition, you can publish or embed charts.

Dygraphs

Dygraphs is an open source java-based graph library that allows users to explore and interpret dense data sets. However, it requires a certain degree of Web programming background to use diagrams. The chart it generates is interactive, and users can highlight values with a mouse click, click and drag to zoom, double-click to zoom out, shift- drag to pan, and so on.

In addition, the best thing about Dygraphs is that it can handle a large number of datasets.

Leaflet

Leaflet is an open source Java library for mobile-friendly interactive maps. The feature of this tool is that it is very lightweight, and the size of JS is only 38 KB. The tool is designed so that it has almost all the mapping features that most developers need.

Not only does Leaflet have many plug-ins to add functionality, but it also works efficiently on all major desktop and mobile platforms. Because it is an open source tool, it has a well-documented API and readable source code.

RAW Graphs

RAW Graphs is an open source data visualization framework. The best thing about this tool is that all you have to do is cut and paste data, upload or provide data links, and it will create various charts. The framework is built on the D3.js library and can be easily used even if it is not a programmer.

RAW Graph was first released publicly in 2013 and is regarded by many as one of the most important tools in the field of data visualization.

Data is the core means of production of the future digital economy, which is called "oil" in the new era. Real-time data is a very important part of data analysis. Mastering reliable data visualization tools undoubtedly seize the opportunity of development.

At this point, the study of "what is the premise of web data visualization" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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