1) When using datasets that are both positive and negative, I want to somehow force the zero value on the y axis to be displayed as a label. Right now, this depends on the many settings available to you, but if you could give me a hint on how to force the zero value to be displayed, independent on the other settings, and from there on, calculate the rest of the labels.

2) When using a bar chart, many times the least value is displayed as a bar that’s not visible. Take for example a data set that goes from 5 to 10. The y axis could potentially be defined by labels going from 5 through 10, which would render the smallest bar (with a value of 5) as non visible. Ideally in the case of bars, I would like to see all bars that are greater than zero. In this case the labels could potentially go from 2 through 10 or something similar, giving the smallest bar some space. For this situation, I would like to have a way to force the first label be lesser than the smallest value.

Maybe these two cases are properly handled by your algorithm, but I haven’t been able to find how to predictively handle this, without prior knowledge of the data.

If these cases are not handled, I would love if you could either give me hints on how this can be implemented or maybe add these two functionalities to the algorithm, so that bar charts can be implemented with the labeling being adjusted to these two conditions.

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