Both discrete and continuous data are valuable for all sorts of data-driven decisions. Valuable research and insights are made by combining both sets of data. Here are some examples where discrete ...

Discrete distributions contrast with continuous distributions, where outcomes can fall anywhere on a continuum. Common examples ... chart measurable data points from a data set, resulting in ...

A true continuous intelligence tool should be able to ingest unstructured and structured first-, second- and third-party data across disparate data sets ... For example, if a customer submitted ...

Milic, Stacey J. Winham, and Vesna D. Garovic, proper representation of small data sets and sample sizes allows accurate interpretation. Doing so, they assert, requires displaying continuous data. But ...