Acquired Codes of Meaning in Data Visualization and Infographics: Beyond Perceptual Primitives


While data visualization frameworks and heuristics have historically been reluctant to incorporate acquired codes of which means, designers are creating use of them in a wide range of ways in which. Acquired codes leverage a user's expertise to understand the which means of a visualization. They range from figurative visualizations which rely on the reader's recognition of shapes, to traditional arrangements of graphic parts that represent particular subjects. During this study, we tend to used content analysis to codify acquired which means in visualization. We tend to applied the content analysis to a set of infographics and knowledge visualizations that are exemplars of innovative and effective design. eighty eight% of the infographics and seventy one% of information visualizations within the sample contain at least one use of figurative visualization. Conventions on the arrangement of graphics are also widespread in the sample. In specific, a comparison of representations of your time and different quantitative data showed that conventions will be specific to a subject. These results recommend that there's a need for data visualization analysis to expand its scope beyond perceptual channels, to incorporate social and culturally created which means. Our paper demonstrates a viable technique for identifying figurative techniques and graphic conventions and integrating them into heuristics for visualization design.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Improving Bayesian Reasoning: The Effects of Phrasing, Visualization, and Spatial AbilityABSTRACT:Decades of research have repeatedly shown that folks perform poorly at estimating and understanding conditional probabilities
PROJECT TITLE :Visualization, Selection, and Analysis of Traffic FlowsABSTRACT:Visualization of the trajectories of moving objects results in dense and cluttered images, that hinders exploration and understanding. It also hinders
PROJECT TITLE : Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks - 2014 ABSTRACT: Secure data transmission is a critical issue for wireless sensor networks (WSNs). Clustering is an effective
PROJECT TITLE : R3E Reliable Reactive Routing Enhancement for Wireless Sensor Networks - 2014 ABSTRACT: Providing reliable and efficient communication under fading channels is one of the major technical challenges in wireless
PROJECT TITLE : PSR A Lightweight Proactive Source Routing Protocol For Mobile Ad Hoc Networks - 2014 ABSTRACT: Opportunistic data forwarding has drawn much attention in the research community of multihop wireless networking,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry