The scale on that bar chart for "Programming (Human Eval)" is wild. Manager: "looks ok, but can you make our numbers pop? just make the LLaMa bar smaller"
I think the case for "axis must always go to 0" is overblown. Zero isn't always meaningful, for instance chance performance or performance of trivial algorithms is likely >0%. Sometimes if axis must go to zero you can't see small changes. For instance if you plot world population 2014-2024 on an axis going to zero, you won't be able to see if we are growing or shrinking.
https://ourworldindata.org/explorers/population-and-demograp...
Perhaps "global mean temperature in Kelvin" would be a comparable example.