39 Big Data Visualization Tools

39 Big Data Visualization Tools

Whether it is to create a visualization process for data points in administrative demonstrations or to segment customers with visualization concepts, data visualization is particularly important. Thirty-nine visualization tools are recommended for large data processing.

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Data visualization is ubiquitous and more important than ever before. Whether it is to create a visualization process for data points in administrative demonstrations or to segment customers with visualization concepts, data visualization is particularly important. Previous tools could hardly handle large data. This article will recommend 39 visualization tools (ranked in any order) that can be used to process large data.

Many of these tools are open source and can be used together or embedded in already designed applications, such as JavaScript, JSON, SVG, Python, HTML5, and even some tools do not require any programming language basis. Others are business intelligence platforms, capable of complex data analysis and production reports, and equipped with a variety of ways to achieve data visualization. Whether you need to analyze the data and decide to present it to your customers or colleagues in the best way, or you have a visual layout in mind but need to apply this concept to your life, there will always be a tool in the form that meets your needs.

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1. Polymaps

Polymaps

Need to show complex data sets on maps? Polymaps is a free JavaScript library and a joint project for SimpleGeo and Stamen development. This complex map overlay tool can load data of various scales and provide multi-level zooming functions, ranging from large countries to small street scenes.

Main features:

Using Scalable Vector Graphics (SVG)

Show the country, state, city, community and street scenery

Basic CSS Rule Control Design

The picture is in spherical Mercatois format.

Fee: Free

2. NodeBox/@Nodebox

2. NodeBox/@Nodebox

A group of open source tools developed by Experimenta Media Research Group. NodeBox's compatibility is that both cross-platform photo libraries and Mac apps can create Python-coded 2D interfaces.

Main features:

Integration with standard design applications

Cross-platform, node-based graphical user interface (GUI)

NodeBox 1-Python Coding, 2D Interface Mac Application

Importing multiple types of data, including Excel

Animation effects

Create a production design with minimal programming skills

Fee: Free

3.Flot

3. Flot

JQuery's JavaScript drawing library, Flot is a browser-based application that is compatible with most common browsers, including IE, Chrome, Firefox, Safari and Opera. Flot supports a variety of visual choices for data views, interactive charts, stacked charts, translation and scaling, and various specific functions through various plug-ins.

Main features:

Supports linearity, images, filling areas with any combination

Using Composite Display Elements in the Same Data Sequence

Drawing Classification and Text Data

Adding HTML to DOM Operational Standards

Generating interactive visual effects of switching series

Direct Canvas Access Drawing Custom Shapes

Fee: Free

4. Processing // @Processing Org

4. Processing // @Processing Org

Processing was originally created as a means of teaching basic computer knowledge in the visual environment, but now it is used by students, designers, researchers, artists and amateurs to create learning models and prototypes of real products. Users can create simple or complex images, animations, and interactions.

Main features:

Output in 2D, 3D and PDF formats

Interaction program

Open GL Integration

Additional functions for more than 1,000 Libraries

Create interaction, text, action, and animation

5. Processing JS

4. Processing // @Proces

Processing's sister site, Processing. js, is a tool that can handle complex data visualization, graphics, charts or other visual effects, and is available in the form of a Web page without any extensions or plug-ins. This means that you can use the standard Processing language to write code and insert it into your website, and Processing. JS does not require additional coding requirements to achieve its functions.

Main features:

Allow Processing code to run in any HTML5 browser

Animation and interactive visualization into any web page

No additional coding requirements

Fee: Free

6. Tangle

6. Tangle

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

Main features:

Allow readers to change parameters

Definition-based variables, formats and classifications

Create charts and other visual effects using Tangle classes

Ability to create dynamic presentations

Use multiple variables to create controls and views at the same time

Fee: Free

7.D3.js

7. D3. JS

A JavaScript library that emphasizes Web page standards for creating data visualization. Using HTML, SVG and CSS, users can operate DOM in a data-driven way, which can satisfy the needs of today's liu.

Please read the Chinese version for details.