R

R is the statistical-computing language favored by quality engineers and academic-leaning battery research teams — used for advanced statistical modeling, mixed-effects models on cell-aging data, and the visualization work where ggplot has no real peer. As a hard skill it requires fluency in tidyverse idioms (dplyr, tidyr, ggplot2), statistical model interpretation (lm, glm, mixed models), R Markdown for reproducible reports, and the package ecosystem that surrounds it (CRAN, Bioconductor). Statisticians and quality engineers apply this when running a designed experiment on cell-coating parameters, when modeling battery capacity fade with random effects across cell lots, and when authoring reproducible analysis reports that ship to regulators.

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