



R is an open source programming language used for statistical analysis. Includes a command-line interface and various graphical interfaces. Popular types of algorithms are linear and nonlinear modeling, time series analysis, classification, and clustering. According to Gartner research, more than 50% of data science teams currently use R to a certain capacity. The R language competes with commercial products such as SAS and Fuzzy Logix.
Data-Driven Innovation (DDI) refers to the realization of product, service or business model innovation using data analytics and digital technologies. This approach is a critical tool for companies to make better decisions, improve customer experience, and gain competitive advantage.
Data intensive refers to data structures in which most cells or fields in the data matrix or data set are filled, with minimal empty or zero values.
Run-time or run-time computing refers to the type of computing in which multiple computing tasks occur simultaneously or at overlapping times
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