Because it tends to make high frequency irregularities look less significant - good marketing.
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Duddley...A Logarithmic scale shows DECADES equally spaced...100, 1000, 10,000 etc. Octaves would be 20, 40, 80, 160, etc.
A Log scale is used when the quantity being plotted behaves in a Logarithmic way. If you plot such a quantity on a linear scale and you pick the scale so that it is appropriate for one end of the range, the other end will be all scrunched up or stretched out, so that it cant't be read. (Take one of your Log scale plots and try to plot it on a linear scale).
If one axis is linear, and the other is logarithmic, the plot is called "Log/Linear".
Thanks, Eldartford, but I must still be missing something because it seems to me that the x axis would not be any harder to read if the octaves between the decades were spaced evenly on the line. Since the octives themsleves are spaced evenly, what part gets scrunched this way?
I appreciate your patience - Ijust know I'm going to wake up in the middle of the night shouting Aha! soon.
Rec got it right. Human hearing and human music is not linear, but logarithmic in nature. Think about it. As an example, there are eight notes and twenty integer frequencies in the 20Hz to 40Hz octave. There are still only eight notes, but 10,000 integer frequencies in the octave from 10,000Hz to 20,000Hz. A good frequency response graph will highlight the musically relevant note info and lessen the visual impact of the less important integer frequency data.