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Spectrum

As explained in Everyday Data Visualization

The range of electromagnetic wavelengths detectable by human vision and perceived as colored light.

The visible spectrum is the range of light wavelengths detectable by human eyes and perceived as colored light. Different wavelengths stimulate cone cells by different amounts, producing different colors. section 4.1.1

Three ideas make the spectrum easier to recognize:

  • ROY G. BIV names the familiar sequence red, orange, yellow, green, blue, indigo, and violet. section 4.1.1
  • The additive model treats colored light as cumulative: combining the spectrum’s colors produces white light. section 4.1.1
  • Counting colors is less tidy than the mnemonic suggests; a real spectrum blends continuously. section 4.1.1

A rainbow as a natural prism

Sunlight is essentially white. Raindrops bend its different wavelengths by different amounts, separating the light into the colored arc we see as a rainbow. section 4.1.1

Figure 4.1 A ray of white sunlight enters a prism and exits as a rainbow because the prism causes the different wavelengths in the white light to separate. (Prism-rainbow.svg: Suidrootderivative work. Sceptre, CC BY-SA 3.0, via Wikimedia Commons. Labels added by me)
04-01

Trace how white sunlight enters a prism, separates by wavelength, and exits as a rainbow. section 4.1.1

How Everyday Data Visualization covers it

How deep it goes
Explains wavelengths, cone-cell response, additive mixing, and prisms, while setting aside light’s particle behavior.
Examples
Uses ROY G. BIV, rainbows, water droplets, prisms, and Newton’s sunlight experiment.
What it assumes
Introduces light’s wave behavior and wavelength while deliberately postponing its particle behavior.
What you can do after
Understand how wavelength differences become perceived colors and how prisms separate white light into a spectrum.
How it connects
Connects visible light with wavelength, cone cells, additive color, prisms, and rainbows.

Related concepts

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