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Dual-axis chart

As explained in Effective Data Analysis

A chart configuration that displays two vertical axes with separate scales for different metrics.

A dual-axis chart displays two metrics over time with separate vertical scales. It can reveal relationships between differently scaled measures, but often makes stakeholder interpretation harder. section 7.3.2

Use this configuration cautiously:

  • Prefer two separate charts when viewers might assume both metrics share units or infer correlation from similarly shaped fluctuations. section 7.3.2
  • Set axis limits to make meaningful variation visible without exaggerating or hiding changes. section 7.3.2
  • Label scales clearly and explain their units so stakeholders can interpret each metric independently. section 7.3.2

Graduation-rate trends

A graduation-rate series ranging from 75% to 100% may need a focused vertical axis rather than a 0%–100% scale, which can hide meaningful annual fluctuations. Pairing it with another metric on a dual axis may clarify a shared time pattern, but separate charts are often easier to read. section 7.3.2

How Effective Data Analysis covers it

How deep it goes
Explains purpose, axis-limit choices, interpretive risks, and when separate charts are preferable.
Examples
Uses graduation rates and paired metrics tracked over time to illustrate scale selection and comparison risks.
What you can do after
Evaluate whether a dual-axis chart or two separate charts will communicate metric trends more reliably.
How it connects
Connects dual-axis charts with line charts, axis limits, correlation interpretation, and logarithmic scales.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.