Issue with histogram: Single outlier and x-axis scale

[Oscar Weinzettl]

I have uploaded a .png of my experimental histogram.

The code for it is as follows

histogram gift_total, xscale(range(0 5000000)) bin(100) percent addlabel ylabel(, angle(horizontal)) xtitle(Gifts) title(Histogram of Gifts Received)

Now for some reasons, which I can only assume is due to the fact that some observations of my data contain quite big numbers, the x-axis is a bit of an issue.

For one I tried to limit the scale on the x-axis to 5 million, however this doesn't seemed to have changed the x-axis.

I am looking at inheritances so even if that one variable is an outlier I wonder if I really don't want to include it. But if I do include it, then I don't see how I can get the histogram to ever be presentable... 100 bins also seem to be a tad much. Any advice on how I can make this histogram presentable?

[Phil Bromiley]

You can also drop the very high Gifts value with if Gifts<5000000

[Ivan Privalko]

Ah good to know. Thank you!

[Nick Cox]

Ivan Privalko Unfortunately the reference linked in #3 in detail why your suggestion in #4 won't work. But logging the variable and then drawing a histogram will work.

[Ivan Privalko]

Hi Oscar, I would use a logarithmic scale on your x-axis. I think you can add it using

 xscale(log)

More info here https://www.stata.com/manuals13/g-3a...le_options.pdf

[Maarten Buis]

https://journals.sagepub.com/doi/abs...867X1801800116