Starting out in data visualization can be a difficult thing to do. Hereâ€™s what you need to know.
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The Five Best Libraries For Building Data Visualizationshttp://www.fastcolabs.com/3029760/the-five-best-libraries-for-building-data-vizualizations
An explosion in the number of available data sources and data-processing tools means that more people than ever are jumping into the world of data visualization. But with so much to learn, it can be intimidating to know just where to start. So which library is best, and what advice do the pros have? Read on and find out.
ProcessingÂ has been around for a few years already. Itâ€™s easy to get started with--since it can be simply downloaded and installed on any platform. The language itself is also very easy to learn, so that with only one line of code youâ€™ll already have something visible on-screen. â€śProcessing is a programming language, development environment, and online community which makes it a wonderful environment for writing generative, interactive, animated applications,â€ť saysÂ Benjamin Wiederkehr, partner at design and technology studio Interactive Things, and editor atDatavisualization.ch
If both D3 and Processing are general tools that can be applied to a range of different types of data visualization, thenÂ GephiÂ has a more specific purpose. Its the number one free and open source tool for network visualization. Within this, however, is a world of possibilities. Whether youâ€™re looking to model the relationship between individuals within a company, or passes during a football game, Gephi can help visualize how two different nodes are connected together.
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