Frank Elavsky (he/him) ⌁ @frank.computer · Apr 23 Wait... I'll do you one better. What if we follow your lead here but instead truncate the axis based on the lowest data value - it happens to be shared by 3. This means we can interpret any missing pixel along the x as the lowest value! This results in a 1:4 ratio for this dataset...
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Since you are making assumptions about what the reader knows (axes, weird encodings), then if you also assume the reader is already familiar with the points, show an empty image. 1:0
I would suggest that the gridlines are superflous--the width of the empty columns and rows is implicit in the size of the squares themselves.
I think this is it - the perfect data visualization