Stacked Histogram and Further Categorization

Hello ! I'm trying to include more information in my histogram to precisely convey to my audience what are the constituents of each bar in a histogram.

Take my animal data example in the file,if i categorize them in 3 different ranges according to their weight I can plot the histogram attached in the image.I now know for the first range (2:5) I have 3 animals in that bracket but I want also to convey that : 1 is a lab animal and 2 are pets.

Either by stacking the plots to indicate that I have 1 lab / 2 pets in the bar or by saying that 50% of the total pets are in this category ! Any ideas on how to achieve such a thing ? Thank you !

figure(1)
r1=readtable("animaldata.xlsx")
edges=[2 5 10 15 ]
histogram(r1.Weight,edges)

Answer 1

[dpb]

Not too bad a task at all...consider

tA=readtable("animaldata.xlsx");
tA.Animal=categorical(tA.Animal);
tA.Category=categorical(tA.Category);
edges=[2 5 10 15 ];
tA.WtGroup=discretize(tA.Weight,edges);

which leaves you with the following table...

tA =
  11×4 table
    Animal    Weight    Category    WtGroup
    ______    ______    ________    _______
    Rat          2        Lab          1   
    Mouse        2        Pet          1   
    Dog          4        Pet          1   
    Hippo        8        Wild         2   
    Horse        9        Pet          2   
    Cow         10        Lab          3   
    Cow         11        Wild         3   
    Hippo        9        Wild         2   
    Dog         10        Wild         3   
    Rat          5        Wild         2   
    Cat          7        Pet          2   

Now, let's find out how many of who are in the zoo...

groupsummary(tA,{'WtGroup','Category'})
ans =
  6×3 table
    WtGroup    Category    GroupCount
    _______    ________    __________
       1         Lab           1     
       1         Pet           2     
       2         Pet           2     
       2         Wild          3     
       3         Lab           1     
       3         Wild          2     
>> 

from which you can easily construct your stacked histogram with the resulting group counts by weght group and category.