This article emphasizes the importance of effective scientific visuals in our visual-centric society. It introduces ten principles to guide authors in creating better scientific figures, addressing ...

The difference lies in how well the data visualization design follows the Gestalt principles. By applying the Gestalt principles, you can create data visualizations that are more coherent ...

Explore your data. You need to know your data first before going for visualization. Tools like Ms. Excel, Tableau, QlikView, Gephi (Good form of network visualization i.e. nodes and links), for ...

Data visualization is a powerful tool for exploring and communicating our research findings. A good plot helps us uncover and share the patterns in our data, but creating good plots takes skill and ...

From state-of-the-art visualization algorithms, we distill six working principles which are, by hypothesis, sufficient to produce visual projections qualitatively similar to those obtained with these ...

Data visualization combines principles from psychology, usability, graphic design, and statistics to highlight important data in accessible and appealing formats. Doing so helps bridge knowledge ...

The rapid spread of artificial intelligence (AI) systems has precipitated a rise in ethical and human rights-based frameworks intended to guide the development and use of these technologies. Despite ...

In a cool piece of data visualization you should definitely check out, Mayerowitz narrows down the possible choices to 25,704. From here, Mayerowitz plots the potential builds on a chart.