A Wikipedia For Data Visualization

Welcome to Wikiviz, a Wikipedia for Data Visualization. This Wiki site is dedicated to my research on Information Visualisation and also serves as a Data Visualization Tools Wiki. You are welcome to contribute in any way you can. This site was created and is maintained by Riccardo Mazza and is hosted by the Institute of Innovative Technologies at the University of Applied Sciences of Southern Switzerland.

Graphics and Information Design



InfoVis Theory and Practice



Tools, techniques & applications


Data Visualization is not something new, it is, however, something that is very current. On Viz Wiki, we offer you a free and complete Data Visualization Tools Wiki. Data visualization is a set of methods of graphic representation of information, in two or three dimensions, with or without color or frames. In essence, it can transform a set of complex data into something visual and appealing. Browse Wikiviz for the latest Information Visualization Software and Tools.

Data Visualization: A History

The origins of Data visualization can be traced back to statistics and mathematical communities. The representation of curves and diagrams is mentioned by William Playfair in 1786, and it is said that Pearson “baptized” the histogram in 1895. The theoretical bases evolved from the knowledge of theories and models of distribution which were not widespread at the time and are not easily accessible even to this day. That is why Wikiviz .org is here offer help with our Data Visualization Tools Wiki. Advanced software and technology have allowed for presenting complex sets of data, in a simpler, didactic and pedagogical manner. These are algorithms that do the statistical work for the creator.

The rather general term data visualization is comprised of a set of sciences and practices including statistics, human physiology (sensory memory, visual perception), human-computer interaction, communication (visual, sensory, and audio), and IT. Another major component in the visual representation of data is storytelling. Today, our new behaviors in the creation and consumption of data that have generated the growth of so-called Big Data: existing data is present in huge amounts and on Wiki Visualization you can find a Wiki dedicated solely to Big Data Tools. There are now interactive data visualization tools that can display the data you want, refine the level of detail and select specific periods, etc. Nowadays data visualization is being constantly modernized and has become an essential communication tool and medium.

Technology democratized the creation of graphs, reports and dynamic and engaging dashboards: that’s what people are looking for to illustrate their content. This reality makes sure all use it, and this concept saw a meteoric rise. Visualization tools can now connect to a wide range of data sources, which makes them attractive to many companies and business that use visualization as an essential practice for numerous clients each of them with varying needs. Data Scientists use data visualization tools to explore the information with which they are working with. Analysts who have to talk about the increasingly large data quantities and present their results in a clear and precise manner find data visualization of immense help. Executives and managers who must follow their sector/company activities. The boards of Directors and management committees, who need an overview of the present and future situation of the company and the achievement of strategic objectives.

As the saying goes, a picture is worth a thousand words; a clear and precise display comes to facilitate understanding and support the decision-making process. The trap is in the fact that everyone or almost everyone is required called to create data visualization. Yet, there are few who know the theory that allows creating the right visual aid according to the need at hand. That is the reason why this Wiki for Data Visualization Tools has you covered with tons of Information Visualization Software and Tools. We can therefore often come across with beautiful graphics, which do not bring anything meaningful to the user, or that distract it from the information that needs to be transmitted.