I am using R's ggplot to create a static plot and pass that on to plot.ly to create an interactive plot. My aim to project a categorical variable to the color and a numeric variable to size. With R's [iris] data that works perfect - Like that:
testplot <- ggplot(iris, aes(Sepal.Length, Sepal.Width, color=Species, size=Petal.Length)) + geom_point()
py$ggplotly(testplot)
https://plot.ly/~SyTpp/11/sepalwidth-vs-sepallength/
Now, I have my own dataset, a, ...
> a
Country OR_Edu OR_Illn total num
Peru 1.75 1.67 25367 10
Philippines 1.33 0.43 33543 1
Rwanda 0.29 4.00 6443 2
Senegal 5.00 1.60 32743 3
Sri Lanka 12.00 6.33 21743 4
Sudan 17.00 0.86 27227 5
Tanzania 0.57 0.71 24312 6
Uganda 13.00 0.60 35466 7
Vietnam 1.62 1.50 34639 8
Zambia 0.86 1.00 16735 9
Zimbabwe 1.25 1.00 33349 10
> summary(a)
Country OR_Edu OR_Illn total num
Peru :1 Min. : 0.290 Min. :0.430 Min. : 6443 Min. : 1.000
Philippines:1 1st Qu.: 1.055 1st Qu.:0.785 1st Qu.:23028 1st Qu.: 3.500
Rwanda :1 Median : 1.620 Median :1.000 Median :27227 Median : 6.000
Senegal :1 Mean : 4.970 Mean :1.791 Mean :26506 Mean : 5.909
Sri Lanka :1 3rd Qu.: 8.500 3rd Qu.:1.635 3rd Qu.:33446 3rd Qu.: 8.500
Sudan :1 Max. :17.000 Max. :6.330 Max. :35466 Max. :10.000
(Other) :5
When I use only the country as categorical variable, it works, too...
testplot <- ggplot(a, aes(OR_Edu, OR_Illn, color=Country)) + geom_point()
py$ggplotly(testplot)
but when I try to map 'total' to the size of the marker
testplot <- ggplot(a, aes(OR_Edu, OR_Illn, color=Country, size=total)) + geom_point()
py$ggplotly(testplot)
I get this error, despite 'total' obviously being a numeric value.
Error in L$marker$size * marker.size.mult :
non-numeric argument to binary operator
What is the problem? Any ideas?
And onther thing (maybe I need to ask that in a separate question): How can I customise the little pop-up box that appears on hover?
Thanks a lot!
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