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Logarithmic scale

As explained in Effective Data Analysis

A numerical axis scale in which equal visual intervals represent equal multiplicative ratios.

A logarithmic scale makes equal visual intervals represent equal multiplicative ratios rather than equal additive differences. It helps display values spanning several orders of magnitude, such as population growth, while making exponential change appear linear. section 7.3.2

Use logarithmic scales carefully:

  • Prefer them when a linear scale cannot make the full range interpretable. section 7.3.2
  • Explain the scale clearly to stakeholders because it can distort perceptions of variation and make trends appear more linear. section 7.3.2
Figure 7.25 Logarithmic scales can help visualize metrics with exponential fluctuations in the data, but they should be used with caution.
figure

Use the figure to compare how logarithmic scaling represents metrics with exponential fluctuations and why cautious interpretation matters. section 7.3.2

How Effective Data Analysis covers it

How deep it goes
Defines the visualization use and interpretation risk, but does not develop mathematical construction or implementation steps.
Examples
Uses population growth and metrics with exponential fluctuations as examples of data suited to logarithmic visualization.
What you can do after
Evaluate/understand when logarithmic scaling improves range visibility and communicate its interpretive limitations responsibly.
How it connects
Connects logarithmic scales with nonlinear scales, linear scales, dual y-axes, and stakeholder interpretation.

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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.