SunburstR: how to define paths i.e. add more layers to sunburst?
I am lost in how to create the hierarchy with R's SunburstR package
sunburstR::sunburst(data=as.data.frame(iris, legendOrder=list("Species", "Sepal.Length")))
where the pedagocical example tries to create a hierarchy with the well-known iris dataset. The inner most layer would have 3 groups: setosa, versicolor and virginica -- and outmost layers showing the proportion of certain numeric things such as sepal length.
How to add more layers to a sunburst plot?
r sunburst-diagram
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
add a comment |
I am lost in how to create the hierarchy with R's SunburstR package
sunburstR::sunburst(data=as.data.frame(iris, legendOrder=list("Species", "Sepal.Length")))
where the pedagocical example tries to create a hierarchy with the well-known iris dataset. The inner most layer would have 3 groups: setosa, versicolor and virginica -- and outmost layers showing the proportion of certain numeric things such as sepal length.
How to add more layers to a sunburst plot?
r sunburst-diagram
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
add a comment |
I am lost in how to create the hierarchy with R's SunburstR package
sunburstR::sunburst(data=as.data.frame(iris, legendOrder=list("Species", "Sepal.Length")))
where the pedagocical example tries to create a hierarchy with the well-known iris dataset. The inner most layer would have 3 groups: setosa, versicolor and virginica -- and outmost layers showing the proportion of certain numeric things such as sepal length.
How to add more layers to a sunburst plot?
r sunburst-diagram
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
I am lost in how to create the hierarchy with R's SunburstR package
sunburstR::sunburst(data=as.data.frame(iris, legendOrder=list("Species", "Sepal.Length")))
where the pedagocical example tries to create a hierarchy with the well-known iris dataset. The inner most layer would have 3 groups: setosa, versicolor and virginica -- and outmost layers showing the proportion of certain numeric things such as sepal length.
How to add more layers to a sunburst plot?
r sunburst-diagram
r sunburst-diagram
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
edited Nov 28 '18 at 8:20
hhh
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
asked Nov 27 '18 at 21:26
hhhhhh
20.7k45125214
20.7k45125214
add a comment |
add a comment |
1 Answer
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You have to specify the path with each node separated by dash such that
iris
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length) %>% sunburst()
where Petal.Length here is the value you want to visualise on the outermost layer with respect to the path starting from the innermost layer to the outermost layer
and in visually more pleasing order such that
iris
%>% arrange(desc(Petal.Length), desc(Sepal.Length), desc(Petal.Width))
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length)
%>% sunburst(breadcrumb = list(w=200))
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You have to specify the path with each node separated by dash such that
iris
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length) %>% sunburst()
where Petal.Length here is the value you want to visualise on the outermost layer with respect to the path starting from the innermost layer to the outermost layer
and in visually more pleasing order such that
iris
%>% arrange(desc(Petal.Length), desc(Sepal.Length), desc(Petal.Width))
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length)
%>% sunburst(breadcrumb = list(w=200))
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
add a comment |
You have to specify the path with each node separated by dash such that
iris
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length) %>% sunburst()
where Petal.Length here is the value you want to visualise on the outermost layer with respect to the path starting from the innermost layer to the outermost layer
and in visually more pleasing order such that
iris
%>% arrange(desc(Petal.Length), desc(Sepal.Length), desc(Petal.Width))
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length)
%>% sunburst(breadcrumb = list(w=200))
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
add a comment |
You have to specify the path with each node separated by dash such that
iris
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length) %>% sunburst()
where Petal.Length here is the value you want to visualise on the outermost layer with respect to the path starting from the innermost layer to the outermost layer
and in visually more pleasing order such that
iris
%>% arrange(desc(Petal.Length), desc(Sepal.Length), desc(Petal.Width))
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length)
%>% sunburst(breadcrumb = list(w=200))
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
You have to specify the path with each node separated by dash such that
iris
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length) %>% sunburst()
where Petal.Length here is the value you want to visualise on the outermost layer with respect to the path starting from the innermost layer to the outermost layer
and in visually more pleasing order such that
iris
%>% arrange(desc(Petal.Length), desc(Sepal.Length), desc(Petal.Width))
%>% mutate(path = paste(Species, Sepal.Length, Petal.Width, sep='-'))
%>% select(path, Petal.Length)
%>% sunburst(breadcrumb = list(w=200))
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
edited Nov 28 '18 at 8:42
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
answered Nov 28 '18 at 8:18
hhhhhh
20.7k45125214
20.7k45125214
add a comment |
add a comment |
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