TLDR - I want to know if it's ok to use bin widths which are not nice round numbers (like integers or simple fractions are)
I have a set of data, for which I have calculated a recommended uniform bin width using Scott's rule (I'm not interested in non-uniform widths), and the value is a recurring decimal. This means that the bars are placed in awkward positions along the axis, and they do not correspond to the tick marks. Furthermore, it feels a bit awkward to talk about "the data in the range 1.456 - 2.211". What is considered best practice?
In data visualization and statistics, the best practice always depends heavily in the context. For example, if your bins correspond to a biological experiment or your plot is going to be in a newspaper, it is probably enough to consider 1 decimal, nevertheless in physics or mathematics maybe you want to see much more as it may give insight on convergence to certain values.
TLDR: It heavily depends on the context, depending who are you presenting the data to and why you are doing it.