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Section 3.6 Checklist
When creating a visualization, have you:
-
Started by visualizing your data (not relying only on summary statistics)?
-
Chosen a plot type that matches your goal?
-
Confirmed whether your data are raw counts (
geom_bar()) or pre-summarized values (
geom_col())?
-
Clearly defined aesthetics (
x,
y,
color,
shape,
fill) and mapped them intentionally?
-
Added informative labels using
labs() (title, axes, legend)?
-
Adjusted the layout for readability (e.g.,
coord_flip(),
facet_wrap())?
-
Considered whether trend lines, error bars, labels, or reference lines would help communicate the story?
-
Checked that the visualization is interpretable
without additional explanation?
-
Asked:
What question does this plot help answer?
