The design of your study, the research questions you’ve posed, and types of data you’ve collected (e.g., quantitative, qualitative) are important considerations in determining the data analysis and ...

Researchers at the Dartmouth Cancer Center have developed computer algorithms that help speed up the analysis of data produced by genetic sequencing — used when looking for mutations in a patient’s ...

In today’s data-driven world, the ability to quickly and accurately analyze information effectively is a pivotal skill across a wide variety of different industries. If you have large amounts of data ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

In the humanitarian aid community, research methods have traditionally skewed toward the qualitative: Participant interviews, focus groups, and field surveys have been the predominant tools ...

One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...

Q. You explained Excel’s Scenario Manager in your November 2024 Tech Q&A article and Goal Seek in your December 2024 Tech Q&A article. Can you please explain the final What-If Analysis tool: Data ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...