Stacked Chart

A barplot shows the relationship between a numeric and a categoric variable. Each entity of the categoric variable is represented as a bar. The size of the bar represents its numeric value. Barplot is sometimes described as a boring way to visualize information. However it is probably the most efficient way to show this kind of data. Ordering bars and providing good annotation are often necessary.



Color Themes


{
   "x" : {
      "Factor1" : ["F1-A","F1-A","F1-A","F1-A","F1-A","F1-A","F1-A","F1-A","F1-B","F1-B","F1-B","F1-B","F1-B","F1-B","F1-B","F1-B","F1-C","F1-C","F1-C","F1-C","F1-C","F1-C","F1-C","F1-C"],
      "Factor2" : ["F2-a","F2-a","F2-a","F2-a","F2-b","F2-b","F2-b","F2-b","F2-c","F2-c","F2-c","F2-c","F2-d","F2-d","F2-d","F2-d","F2-e","F2-e","F2-e","F2-e","F2-f","F2-f","F2-f","F2-f"],
      "Factor3" : ["F3-i","F3-i","F3-j","F3-j","F3-k","F3-k","F3-l","F3-l","F3-m","F3-m","F3-n","F3-n","F3-o","F3-o","F3-p","F3-p","F3-q","F3-q","F3-r","F3-r","F3-s","F3-s","F3-t","F3-t"],
      "Factor4" : ["F4-a","F4-a","F4-a","F4-a","F4-b","F4-b","F4-b","F4-b","F4-a","F4-a","F4-a","F4-a","F4-b","F4-b","F4-b","F4-b","F4-a","F4-a","F4-a","F4-a","F4-b","F4-b","F4-b","F4-b"],
      "Factor5" : ["F5-a","F5-b","F5-c","F5-d","F5-e","F5-f","F5-g","F5-h","F5-i","F5-j","F5-k","F5-l","F5-m","F5-n","F5-o","F5-p","F5-q","F5-r","F5-s","F5-t","F5-u","F5-v","F5-w","F5-x"],
      "Factor6" : [1,2,3,4,5,6,7,8,8,7,6,5,4,3,2,1,1,2,3,4,5,6,7,8]
   },
   "y" : {
      "data" : [
        [2,4,6,8,3,5,7,9,2,4,6,8,3,5,7,9,3,5,7,9,4,6,8,10],
        [4,6,8,10,3,5,7,9,2,4,6,8,1,3,5,7,2,4,6,8,3,5,7,9],
        [3,5,7,9,4,6,8,10,3,5,7,9,2,4,6,8,4,6,8,10,3,5,7,9]
      ],
      "smps" : ["Smp1","Smp2","Smp3","Smp4","Smp5","Smp6","Smp7","Smp8","Smp9","Smp10","Smp11","Smp12","Smp13","Smp14","Smp15","Smp16","Smp17","Smp18","Smp19","Smp20","Smp21","Smp22","Smp23","Smp24"],
      "vars" : ["Var1","Var2","Var3"]
   }
}
{
   "colorScheme" : "Blues",
   "foreground" : "rgb(0,0,0)",
   "graphOrientation" : "vertical",
   "graphType" : "Stacked",
   "groupingFactors" : ["Factor1"],
   "sampleSpaceFactor" : "1",
   "showTransition" : "false",
   "title" : "Random Data",
   "treemapBy" : ["Factor2","Factor3"]
}
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-stacked2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/cX-stacked2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  smpAnnot=x,
  colorScheme="Blues",
  foreground="rgb(0,0,0)",
  graphOrientation="vertical",
  graphType="Stacked",
  groupingFactors=list("Factor1"),
  sampleSpaceFactor=1,
  showTransition=FALSE,
  title="Random Data",
  treemapBy=list("Factor2", "Factor3")
)