Data visualisation and visual analytics techniques play an essential role in interpreting complex, high-dimensional information. By transforming raw data into graphical representations, these methods ...

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...