improve histogram docs #3101
improve histogram docs #3101
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## master #3101 +/- ##
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Coverage 62.77% 62.77%
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Files 25 25
Lines 6426 6426
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Hits 4034 4034
Misses 2392 2392
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| @@ -813,7 +813,9 @@ const _examples = PlotExample[ | |||
| ), | |||
| PlotExample( # 38 | |||
| "Histogram2D (complex values)", | |||
| "", | |||
| """ | |||
| Other possible `normed` mode include `:probability`, where bin area (volumn) is not divided. | |||
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It is a bit unclear to me, what you are trying to say here
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the _make_hist takes a normed argument, the example only shows normed=true, but under the hood, it calls the normalize! from StatsBase, with normalization mode default to :pdf, but there's actually another normalization mode, which is called :probability
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I think these modes are quite good covered in https://docs.juliaplots.org/latest/generated/attributes_series/.
This example aims to show how complex data can be visualized as a 2D Histogram.
I agree it would be good to also have a graphic that compares the different modes (like in spirit with JuliaPlots/PlotDocs.jl#217), but here is not the right place.
Adding a different example would also be fine.
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