Nowadays we are witnessing an exponential rise in the generation, gathering and exchange of data in a broad range of domains: from commerce, education, health, to culture and society. The display of this huge quantity of information is now, more than ever, of great social relevance: data visualization has a great potential in uncovering substantial behaviors and aspects of data, but also in unraveling novel forms of communication, engagement and interactivity. With the advance of theoretical models and tools for handling information, data visualization has developed original languages, and still enormous prospects are opening, thanks to the contamination between different disciplines.