708 ITU‐T's Technical Reports and Specifications video, databases, streams, models, archives, and anything else. Nowadays, excess amounts of open data are overwhelming; raw data becomes useful only when we apply methods of deriving insight from it. Fortunately, we humans are intensely visual creatures. Only trained professionals can detect patterns among rows of numbers, but even young children can interpret bar charts, extracting meaning from those numbers' visual representations. For that reason, data visualization is a powerful exercise41. Visualizing data is the fastest way to communicate it to others. The definition of data visualization references its two objectives: understanding and communication42. This can also be referred to as exploratory and explanatory the visual representation of data respectively. This distinction is often overlooked, but it is extremely critical in the process of creating successful data visualization. If the motivation is to make sense of data, then the data visualization should be exploratory in nature. The process of visualization can help to see the world in a new way, revealing unexpected patterns and trends in the otherwise hidden data around us. At its best, data visualization is expert storytelling. However, if the analysis of the data is complete, then infographic should be used. More literally, visualization is a process of mapping complete data to visuals43. It is possible to craft rules that interpret data and express its values as visual properties. Without being conscious of one's data visualization motivations and goals, the process can be inefficient, misguided, or altogether unsuccessful. Table 2 – Open publishing of Ooof data visualization Revised Date Production Name Tag Visualization Tools Designer First Time 29‐Sep‐14 World's religious numbers World and religion yEd Ooof 2011‐7‐23 21‐Feb‐14 India's religious development process India, religion, and process yEd Ooof 2011‐7‐23 21‐Feb‐14 Journey to the West figure relationships Journey to the west and figure Gephi Ooof 2011‐7‐23 21‐Feb‐14 50 twitter's relationship Diagram Twitter Gephi Ooof 2011‐7‐23 21‐Feb‐14 Pushing around 5000 years History and 4000 BB FlashBack Ooof 2011‐7‐23 21‐Feb‐14 107t twitter's relationship diagram Twitter Gephi Ooof 2011‐7‐23 1‐Feb‐13 Wuxi training camp's NGO relationship Wuxi and NGO Gephi Ooof 2012‐4‐23 1‐Feb‐13 Linfen's government budget information Linfen, budget, and Government Gephi Ooof 2012‐4‐23 1‐Feb‐13 Relationship Visualization among linfen's 29 Weibo friends Linfen, Weibo, and Realtionship Gephi Ooof 2012‐4‐23 1‐Feb‐13 Human emotion's spectrum Emotion Gephi Ooof 2012‐4‐23 ____________________ 41 Xiao Q., Yan W., Zhang H.; Application of Visualization Technology in Spatial Data Mining; Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on. 2010, Page(s): 153‐157. 42 Accenture | Strategy. Understanding Data Visualization. 2013 43 Please see: http://www.accenture.com/SiteCollectionDocuments/PDF/Accenture‐Tech‐Labs‐Data‐Visualization‐Full‐Paper.pdf.