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The competition clearly showed that digital techniques for capturing and making sense of data are taking their place among the most critical tools of journalism around the globe.
The chapter is all about making sense of data from the online study.
In most scientific fields, making sense of data was once something scientists just did.
In the Big Data paradigm, researchers explore creatively and learn progressively while searching, cross-referencing, and making sense of data and information.
The field "concerned with the development of methods and techniques for making sense of data" (Fayyad et al. [1996], 37) is known as 'knowledge discovery in databases' (KDD).
Data visualization has proven to be a popular way for making sense of data and communicating findings, insights or meanings discovered from patterns in large datasets.
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To make way for data-driven quality, we first need to make sense of data.
Intermediaries are key in communicating open data: If you rely on a government to make sense of data then the government is essentially telling citizens what they need to know.
Programmatic trading enables advertisers and agencies to make sense of data inputs in real time – consumer signals, inventory types, context, pricing and creative offers – and make instant, efficient buying decisions against target audiences.
Up to now, the computer tools for helping people make sense of data have mostly been on-screen dashboards that distill mounds of information into graphs or symbols resembling traffic lights — green is good, red is bad.
Techniques employed to make sense of data gathered in Smart Learning Environments range throughout data scientists' toolkit.
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