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I think these choices are more context specific than is often appreciated. For example > if I have measurements [A: 100, B: 101, C: 105], and then scale the ax
by remus 5y ago
I think these choices are more context specific than is often appreciated. For example
> if I have measurements [A: 100, B: 101, C: 105], and then scale the axes to "fit around" the data (maybe from 100 to 106 on thy y axis), it will seem like C is 5x larger than B. In reality, it's only 1.05x larger.
If you were interested in the absolute difference between the values then starting your axis at 0 is going to make it hard to read.
- amenod 5y agoIt is however very rare that absolute differences matter; and even when they do, the scale should (often) be fixed. For example the temperatures: [A: 27.0, B: 29.0, C: 28.0] versus: [A: 27.0, B: 27.2, C: 26.9] If scale is fit to the min and max values, the charts will look the same. Still, as a rule of thumb, when Y axis doesn't start at 0, the chart is probably misleading. It is very rare that the absolute size of the measured quantity doesn't matter.