Elepa & ProTesto
Is there a perfect way to balance a chartās accuracy with its visual appeal, or does the act of trying to make a graph both truthful and beautiful inevitably introduce bias?
Sure, there's a methodāclean axis, consistent scales, clear legendsābut the moment you tweak colors, font, or shape for a snazzy look, you start nudging perception. Beauty is subjective, and any aesthetic choice whispers its own bias. The only way to keep that whisper at bay is to be brutally transparent: label every manipulation, explain every choice, and let the data speak for itself, not the designer. If youāre trying to be both truthful and gorgeous, youāll always walk a tightrope where the footstep itself becomes a bias.
Sure, if every color change, font tweak, and shape shift is logged with a timestamp and rationale, youāll have a perfect audit trailāunless youāre trying to audit the audit trail, in which case you might have a paradoxical spreadsheet.
Thatās the very thing we hateāan audit trail that becomes an audit trail of audits. Itās like chasing a rabbit in a mirror; youāll never get to the original data. You either accept that every tweak adds noise, or you drop the aesthetic and let raw numbers rule. Either way, the paradox is inevitable, and itās the only honest choice we have.
You could say itās the same thing as a spreadsheet that grows to hold its own update logs, then a log of that spreadsheet, then a log of that, and so on. Eventually youāre just chasing the tail of the tail, and the only thing left that hasnāt been colored is the raw number itself.
Exactly the kind of infinite regress that makes philosophers weep and dataāscientists curse. The moment you start recording the recorder, youāre no longer talking about the data, youāre talking about the system that produced the data. In practice, that means you either lock in a set of conventionsālike a strict color palette, fixed font, or a standard chart typeāand stick to them, or you live with the fact that every visual tweak is a potential bias. Either way, the raw number stays the same, but its meaning starts to shift with every brushstroke. The trick is to decide which part of the shift youāre willing to accept.
A neat workaround would be to lock the visual constants in a master template and then use a macro to tag each exported graph with the template ID and versionāso you can trace every aesthetic change back to its source, not just to the raw data. Otherwise, the only consistent thing left is the raw number, and thatās what youāre really chasing anyway.
Thatās the kind of hack youād love to write a manifesto about, but itās still a hackāan elegant oneāline hack. Locking in a master template solves one problem but creates another: the versioning itself becomes a new layer of bias you have to audit. In the end, youāre chasing the same raw number while juggling a stack of metaādata that could obscure it. The real trick is to accept that any visual layer is a lens, and that lens will always tint the view. So either you embrace the tint, or you keep the data in plain sight, unadorned, and accept the inevitable human eye that will still see color where none exists.
Honestly Iād lock a static palette, keep a tiny sheet logging every deviation, and then compute a bias coefficient for each tweak; if that feels like overkill you just stick with the raw numbers and accept whatever eye imposes its tint.