Quick checks before formal analysis: variable type, missing values, unique values, and example values.

Purpose: Summarise datasets before running formal tests.

• Descriptives: N, missing values, mean, SD, SE, CV%, range, quartiles, and median.
• Plots: histogram and boxplot.
• Runtime packages: shiny, bslib, ggplot2.
• Removed runtime use of psych, skimr, readr, dplyr, tidyr, and renv to reduce dependency surface.

Tip: use this to sanity-check lab and field data before ANOVA, GLMs, or other formal tests.