Excel is full of answers. They’re just not always easy to see. You open a spreadsheet and there it is: rows of numbers, dates, categories, totals. You know there’s something useful there. A trend. A ...

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

RG study breaks down how back-to-backs, long breaks and road trips affect NHL teams, with trends from recent seasons. Basketball showcases individual greatness, unlike sports with more players on the ...

We often hear that “Who remembers the one who comes second?” The term ‘secondary’ is often associated with something less important, isn’t it? But today I tell you the importance of secondary in today ...

This article adopts a constructivist grounded theory approach based on the principle of intersubjective relations and the co-construction of interpretations. Reflecting on the author's experiences as ...

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...

We identified products that met our prespecified inclusion criteria. We documented the dates and intervals for five key milestones in the pathway: ideation, proof of concept, regulatory approval, ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...