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Data Analysis and Visualization with Python / Module 11

Module 11 check

Module 11 Assessment: Seaborn Check

Assessment ID: DAV-M11-QA01 Estimated active time: 30-40 minutes

Part A: Short answers

  1. Why does Seaborn often prefer long-form data?
  2. When is a distribution plot useful?
  3. When are facets useful?
  4. Why should color have a purpose?
  5. Why is a regression line not proof of causation?

Part B: Chart plan

Plan three Seaborn charts for this question:

> How do practice patterns differ by enrolment status and course level?

For each chart, name:

  • chart type;
  • columns used;
  • question answered;
  • limitation.

Rubric

LevelEvidence
PassSeaborn charts are appropriate, readable, and interpreted carefully.
ReviseCharts render but data shape, grouping, or interpretation need improvement.
Not yetCharts are visually attractive but not tied to a question or overclaim from patterns.