What should a chart review include?

Review the claim, source, scale, units, colour, labels, uncertainty, accessibility, interaction, responsive layout and maintenance ownership.

Why are truncated bar charts misleading?

Because bar length encodes magnitude, a non-zero baseline can visually exaggerate differences unless the design makes a justified alternative unmistakable.

How do you make a chart accessible?

Use meaningful text, sufficient contrast, non-colour cues, keyboard-operable interaction and an accessible table or structured equivalent for detailed values.

Do tooltips make a chart accessible?

Not by themselves. Essential information must also be available to keyboard, touch and assistive-technology users.

How should missing data be shown?

Distinguish missing, suppressed, not applicable and zero, and avoid connecting gaps as if observations were available.

Should charts show their data source?

Yes. Include a source and freshness note appropriate to the context, with enough lineage for maintainers to reproduce the result.

Who should approve a consequential chart?

Use the data owner plus suitable domain, accessibility and risk reviewers when the visualization may influence high-impact decisions.

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データの視覚化ニーズに適したチャートを選択する方法

適切なチャートを選択すると、効果的なデータの視覚化に不可欠です。この記事では、データ表現とストーリーテリングを強化するための最適なチャートタイプを選択する方法について説明します.