Explanation 1
Use clear titles, labels, and units.
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Lesson 10 of 15
Compare categorical counts, sorted categories, cumulative percent, and stacked displays.
Theory
Compare categorical counts, sorted categories, cumulative percent, and stacked displays. This lesson treats charts as analytical tools. Students focus on the data question, variable type, source, scale, and audience before choosing or interpreting a display.
Explanation 1
Use clear titles, labels, and units.
Explanation 2
Keep source and scale choices visible.
Explanation 3
Interpret patterns cautiously and avoid decorative chart junk.
Interactive Mission
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R connection
Run and edit the R code. Use the floating guide for line-by-line explanations and common beginner mistakes.
Live R Lab
Sort categorical counts, create bars, and add cumulative percent thinking for Pareto interpretation.
Ready to run
Zero-origin rule
Bar and column charts should usually start at zero because bar length encodes magnitude.
Reflection
Name the data question, the display, and one limitation.
Assistant
Coach me on Column, Bar, Pareto, and Stacked Charts without giving direct quiz answers. Ask me to justify chart choice, scale, and interpretation.
Exit check
Try the hint button before submitting. Explanations appear after your answer is checked.
Checkpoint
Question 1 of 2. Answered 0/2. Passing score: 70%.