How do I read the results from Dunn's test? Specifically, what do the values in the table below tell me?

I have non-parametric data in 4 groups, and I first did a Kruskal-Wallis test to confirm that the groups' distributions were dissimilar from one another and the aggregate dataset. I then used Dunn's test to see which groups were dissimilar from one another, and which were not.

library(dunn.test)
dunn.test(data, g=area, kw=TRUE)
Kruskal-Wallis rank sum test

data: x and area
Kruskal-Wallis chi-squared = 1730.4401, df = 3, p-value = 0


                        Comparison of x by area                            
                            (No adjustment)                                
Row Mean-|
Col Mean |          A          B          C
---------+---------------------------------
       B |   20.62310
         |     0.0000
         |
       C |   26.66519  -0.087499
         |     0.0000     0.4651
         |
       D |   39.09084   7.401256   9.469204
         |     0.0000     0.0000     0.0000

How do I read the results from Dunn's test? Specifically, what do the values in the table below tell me?

I have non-parametric data in 4 groups, and I first did a Kruskal-Wallis test to confirm that the groups' distributions were dissimilar from one another and the aggregate dataset. I then used Dunn's test to see which groups were dissimilar from one another, and which were not.

library(dunn.test)
dunn.test(data, g=area, kw=TRUE)
Kruskal-Wallis rank sum test

data: x and area
Kruskal-Wallis chi-squared = 1730.4401, df = 3, p-value = 0


                        Comparison of x by area                            
                            (No adjustment)                                
Row Mean-|
Col Mean |          A          B          C
---------+---------------------------------
       B |   20.62310
         |     0.0000
         |
       C |   26.66519  -0.087499
         |     0.0000     0.4651
         |
       D |   39.09084   7.401256   9.469204
         |     0.0000     0.0000     0.0000

How do I read the results from a Dunn test? Specifically, what do the values in the table below tell me?

I have non-parametric data in 4 groups, and I first did a Kruskal-Wallis test to confirm that the groups' distributions were dissimilar from one another and the aggregate dataset. I then used this Dunn test to see which groups were dissimilar from one another, and which were not.

dunn.test(data, g=area, kw=TRUE)
Kruskal-Wallis rank sum test

data: x and area
Kruskal-Wallis chi-squared = 1730.4401, df = 3, p-value = 0


                        Comparison of x by area                            
                            (No adjustment)                                
Row Mean-|
Col Mean |          A          B          C
---------+---------------------------------
   B |   20.62310
     |     0.0000
     |
   C |   26.66519  -0.087499
     |     0.0000     0.4651
     |
   D |   39.09084   7.401256   9.469204
     |     0.0000     0.0000     0.0000

Thanks for your help!

How do I read the results from Dunn's test? Specifically, what do the values in the table below tell me?

I have non-parametric data in 4 groups, and I first did a Kruskal-Wallis test to confirm that the groups' distributions were dissimilar from one another and the aggregate dataset. I then used Dunn's test to see which groups were dissimilar from one another, and which were not.

library(dunn.test)
dunn.test(data, g=area, kw=TRUE)
Kruskal-Wallis rank sum test

data: x and area
Kruskal-Wallis chi-squared = 1730.4401, df = 3, p-value = 0


                        Comparison of x by area                            
                            (No adjustment)                                
Row Mean-|
Col Mean |          A          B          C
---------+---------------------------------
       B |   20.62310
         |     0.0000
         |
       C |   26.66519  -0.087499
         |     0.0000     0.4651
         |
       D |   39.09084   7.401256   9.469204
         |     0.0000     0.0000     0.0000

How do I read the results from a Dunn test? Specifically, what do the values in the table below tell me?

I have non-parametric data in 4 groups, and I first did a Kruskal-Wallis test to confirm that the groups' distributions were dissimilar from one another and the aggregate dataset. I then used this Dunn test to see which groups were dissimilar from one another, and which were not.

dunn.test(data, g=area, kw=TRUE)
Kruskal-Wallis rank sum test

data: x and area
Kruskal-Wallis chi-squared = 1730.4401, df = 3, p-value = 0


                        Comparison of x by area                            
                            (No adjustment)                                
Row Mean-|
Col Mean |          A          B          C
---------+---------------------------------
   B |   20.62310
     |     0.0000
     |
   C |   26.66519  -0.087499
     |     0.0000     0.4651
     |
   D |   39.09084   7.401256   9.469204
     |     0.0000     0.0000     0.0000

Thanks for your help!

How do I read the results from a Dunn test? Specifically, what do the values in the table below tell me?

I have non-parametric data in 4 groups, and I first did a Kruskal-Wallis test to confirm that the groups' distributions were dissimilar from one another and the aggregate dataset. I then used this Dunn test to see which groups were dissimilar from one another, and which were not.

dunn.test(data, g=area, kw=TRUE)
Kruskal-Wallis rank sum test

data: x and area
Kruskal-Wallis chi-squared = 1730.4401, df = 3, p-value = 0


                        Comparison of x by area                            
                            (No adjustment)                                
Row Mean-|
Col Mean |          A          B          C
---------+---------------------------------
   B |   20.62310
     |     0.0000
     |
   C |   26.66519  -0.087499
     |     0.0000     0.4651
     |
   D |   39.09084   7.401256   9.469204
     |     0.0000     0.0000     0.0000

Thanks for your help!