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Line graphs of percentages not based at zero make it difficult for me to grok the magnitude of changes. Missed opportunity for the hue line color to match the actual hue in the vertical. Just being an angle value I have no idea what hue it’s supposed to be.
Not a colorololologist either, but I’m guessing, you scan it and then calculate the average of the individual pixels. You can convert RGB color values to HSV color values to get the hue, saturation and value.
But calculating the average of the hue degrees (like was done for this post) is non-sense.
0° is red, as is 360°, so you get completely different averages, depending on how you calculate them:
Does hue make sense at all? If yes, you could calculate the vector mean (convert degrees to x and y axis, average, and convert back to degrees) and get something sensible out of that.
But good question, if it makes sense at all. Since hue is not a linear scale, the average is not exactly the ‘middle’ of anything. At best you could interpret it as the poster being somewhat biased in that direction, but ultimately you could have a poster with no green at all, which still averages out to green, and that just doesn’t feel right.
A more complex graph, which shows the frequency of the colours used, might be more useful…
Line graphs of percentages not based at zero make it difficult for me to grok the magnitude of changes. Missed opportunity for the hue line color to match the actual hue in the vertical. Just being an angle value I have no idea what hue it’s supposed to be.
Problem is, this is a hue of 100°: https://hslpicker.com/#55ff00
This is a hue of 120°: https://hslpicker.com/#00ff00
Not a colorologist, but how the hell do you measure saturation and hue in a poster?
Not a colorololologist either, but I’m guessing, you scan it and then calculate the average of the individual pixels. You can convert RGB color values to HSV color values to get the hue, saturation and value.
But calculating the average of the hue degrees (like was done for this post) is non-sense.
0° is red, as is 360°, so you get completely different averages, depending on how you calculate them:
Does hue make sense at all? If yes, you could calculate the vector mean (convert degrees to x and y axis, average, and convert back to degrees) and get something sensible out of that.
Ah yeah, good idea.
But good question, if it makes sense at all. Since hue is not a linear scale, the average is not exactly the ‘middle’ of anything. At best you could interpret it as the poster being somewhat biased in that direction, but ultimately you could have a poster with no green at all, which still averages out to green, and that just doesn’t feel right.
A more complex graph, which shows the frequency of the colours used, might be more useful…