GEOM90007 Chap.11 R, ggplot2 and Reproducible Graphics

R, ggplot2 and Reproducible Graphics

Define tidy data

R, ggplot2 and Reproducible Graphics frames a decision through tidy data, grammar of graphics and reproducible graphic.

The objective is to write a ggplot2 specification whose mappings, transformations and labels expose the analytical choices, so the chapter should be read as a chain from problem definition to evidence, option comparison and accountable action.

Start with tidy data and name the decision owner, affected stakeholders and time horizon.

The same tidy data fact can matter differently across those positions, so the opening frame determines which evidence is relevant.

Use grammar of graphics to explain how the present condition produces an opportunity, cost or risk. A strong grammar of graphics mechanism states what changes, for whom and through which organisational, market or institutional process.

Apply reproducible graphic when comparing options.

Keep the reproducible graphic criteria distinct, test trade-offs and ask which assumption drives the recommendation. A score or matrix helps only when its criteria are justified by the case.

Trace grammar of graphics

For the application — write a ggplot2 specification whose mappings, transformations and labels expose the analytical choices — finish with an actor, action, rationale and review trigger.

This turns the reproducible graphic analysis into a recommendation while keeping the decision open to new evidence.

Build a decision ledger. Separate the current condition, the stakeholder affected, the evidence supporting tidy data, the mechanism represented by grammar of graphics and the criterion supplied by reproducible graphic.

If a reproducible graphic recommendation cannot point back to one of those entries, it is probably preference dressed as analysis rather than a consequence of the case.

Compare at least two feasible options against the same criteria. State who benefits under reproducible graphic, who bears cost or risk, what capability implementation requires and what evidence would reveal failure.

This comparison is essential when students need to write a ggplot2 specification whose mappings, transformations and labels expose the analytical choices, because an attractive option is not defensible until its trade-offs are visible.

Rehearse the GEOM90007 tidy data response as a short briefing: one sentence for the decision, two for the evidence and mechanism, one for the alternative and one for the qualified recommendation.

Then expand only the grammar of graphics move that needs more support. This protects the argument structure under a strict word or time limit.

Test with reproducible graphic

A complete response should make the task visible before the detail: identify what must be decided, define the relevant terms, connect the evidence to grammar of graphics, and use reproducible graphic to test the result.

The final sentence about reproducible graphic should answer the question actually asked rather than merely repeat the topic.

The controlling limit is specific: Reproducible code does not guarantee valid data, sound statistics or accessible communication.

Keep that reproducible graphic limit beside the worked example, because it separates a careful GEOM90007 answer from one that sounds confident but claims more than the task or evidence supports.

For revision, retrieve tidy data, grammar of graphics and reproducible graphic without notes, explain their relationship aloud, then complete a changed version of the application: write a ggplot2 specification whose mappings, transformations and labels expose the analytical choices.

Record the first failed grammar of graphics reasoning move and repair it before attempting another case.

What this chapter covers

• 01

  tidy data

• 02

  grammar of graphics

• 03

  reproducible graphic

• 04

  Applying tidy data

• 05

  Limits of grammar of graphics and reproducible graphic

AskSia practice: apply R, ggplot2 and Reproducible Graphics

Key terms

tidy data

A tabular structure in which each variable is a column, each observation a row and each observational unit a table. Use this definition when the task is to write a ggplot2 specification whose mappings, transformations and labels expose the analytical choices.

grammar of graphics

A framework constructing a visualisation from data, aesthetic mappings, statistical transformations, geometric marks, scales and coordinates. Use this definition when the task is to write a ggplot2 specification whose mappings, transformations and labels expose the analytical choices.

reproducible graphic

A figure that can be regenerated from recorded data, code, environment and parameters rather than manual editing alone. Use this definition when the task is to write a ggplot2 specification whose mappings, transformations and labels expose the analytical choices.

R, ggplot2 and Reproducible Graphics FAQ

Assessment move

Reconstruct the relationship among tidy data, grammar of graphics and reproducible graphic; complete the chapter application without notes; then test the result against this limit: Reproducible code does not guarantee valid data, sound statistics or accessible communication.

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