Data Sources for R — EDA Across a Heterogeneous Stack
R has a reputation as a statistics tool — the thing you reach for when you need a regression or a publication-quality plot. That framing undersells it. The part of R that earns its place in a practical engineering workflow is its I/O story: the breadth of data sources it can connect to, and the consistency of the analysis layer once data arrives in a data frame regardless of where it came from.
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