Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret.

Processed data underlie the analysis, but raw data let other researchers test your assumptions and processing strategies. That said, raw data sets can be unwieldy and expensive to store.

How scientists can be creative in data analysis and presentation, but also how artists use data to communicate challenging scientific ideas and their associated emotions.

Interpretation is central to the social scientist's process of analysis, regardless of whether that analysis relies on quantitative or qualitative data. This essay presents a "reconstructed logic" of ...

Prepare for the challenging Data Interpretation section in CAT with tips on format identification, quick calculations, and overcoming common mistakes.

Big data, by definition, refers to vast amounts of information collected at high velocity. If not analyzed objectively, it can create analysis paralysis.