20 data visualization tools (4)

Date: 2013-7-26 Source: gbin1.com

In-depth understanding: This article will introduce five visualization tools that are difficult to use (or you can refer to the previous article ).

If you want to achieve high-level data visualization, in addition to simple Web-based tools, you also need more useful things, including desktop applications and programming environments.

16. Processing

Processing is an exemplary tool for interactive visual processing. It allows you to use simpler code and then compile it into Java in sequence. There is a tool called processing. js that enables your webpage to use processing without a Java application, and with the objective-C port, you can use it on the iOS platform. It is a desktop application that can be used on all platforms. In recent years, there have been a large number of instances and Code on the Internet.

 

17. nodebox

Nodebox is an OS X application used to create two-dimensional graphics and data visualization. You need to understand the Python code. In addition, it can easily and quickly adjust the variables and view the results immediately. It is similar to processing, but nodebox is not interactive.

 

Professional tools

In addition to the several simple tools described above, there are also professional data processing tools for professionals to use. Industry-standard tools, such as SPSS and SAS, are expensive to order, so they are generally only available to large and academic institutions. The tools we will introduce are available for free and powerful. These open-source software are very useful and have powerful plug-ins and support.

18. r

How many software comes with a search engine? R is a very complex software used to analyze the statistical data packages of large datasets. It has a powerful community and database and takes some time to master. R is the most difficult tool to learn in this article. When you master it, you will feel proud.

 

19. WEKA

Further, when you reach the expert level, you need to expand your capabilities, not only to create data visualization, but also to learn data mining technology. WEKA is used for data classification and clustering of various attributes-both of which can be used for data browsing-it can also generate a simple plan.

20. gephi

When talking about associations, social graphs, and relationships, people usually refer to two nodes that are related to each other in the same network connection. The node here may be someone in the company, the words in the file or the passing players in the football match, but the principle is the same. Gephi is a data browser based on chart visualization. It can not only compress large datasets, create beautiful visual effects, but also clear and organize data.

 

Additional reading:

1. A blog that provides examples and inspiration for massive data visualization: vizualize.tumblr.com

2. Nicolas Felton's blog: feltron.tumblr.com

3. Founder of processing: benfry.com/writing

4. stamen design: stamen.com

5. The latest data visualization design on eyeo festival provides online video watching

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Related reading:

• 20 data visualization tools (1)
• 20 data visualization tools (2)
• Best 20 data visualization tools (3)
• 20 data visualization tools (4)

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Source: 20 data visualization tools (4)