Subset Rows for Clearer Data Comparison

Facets are a way to split your data into subsets and create multiple plots based on those subsets, all within a single visualization. They allow you to display different views of the data side by side, making it easier to compare patterns across groups. For example, if you have a dataset with sales data categorized by region, you can use facets to create separate plots for each region.

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HTML / JS
R Code

<html>

  <head>
    <!-- Include the CanvasXpress library in your HTML file -->
    <link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
    <script src="https://www.canvasxpress.org/dist/canvasXpress.min.js"></script>
  </head>

  <body>

    <!-- Create a canvas element for the chart with the desired dimensions -->
    <div>
      <canvas id="canvasId" width="600" height="600"></canvas>
    </div>


    <!-- Create a script to initialize the chart -->
    <script>

      // Create the data for the graph
      var data = {
         "x" : {
            "Factor1" : ["Lev : 1","Lev : 2","Lev : 3","Lev : 1","Lev : 2","Lev : 3"],
            "Factor2" : ["Lev : A","Lev : B","Lev : A","Lev : B","Lev : A","Lev : B"],
            "Factor3" : ["Lev : X","Lev : X","Lev : Y","Lev : Y","Lev : Z","Lev : Z"],
            "Factor4" : [5,10,15,20,25,30],
            "Factor5" : [8,16,24,32,40,48],
            "Factor6" : [10,20,30,40,50,60]
         },
         "y" : {
            "data" : [
              [5,10,25,40,45,50],
              [95,80,75,70,55,40],
              [25,30,45,60,65,70],
              [55,40,35,30,15,1]
            ],
            "desc" : ["Magnitude1","Magnitude2"],
            "smps" : ["S1","S2","S3","S4","S5","S6"],
            "vars" : ["V1","V2","V3","V4"]
         },
         "z" : {
            "Annt1" : ["Desc : 1","Desc : 2","Desc : 3","Desc : 4"],
            "Annt2" : ["Desc : A","Desc : B","Desc : A","Desc : B"],
            "Annt3" : ["Desc : X","Desc : X","Desc : Y","Desc : Y"],
            "Annt4" : [5,10,15,20],
            "Annt5" : [8,16,24,32],
            "Annt6" : [10,20,30,40]
         }
      }

      // Create the configuration for the graph
      var config = {
         "graphOrientation" : "vertical",
         "graphType" : "Bar",
         "layoutCollapse" : false,
         "layoutType" : "rows",
         "showTransition" : false,
         "stripBackgroundBorderColor" : "rgb(0,0,0)",
         "stripTextColor" : "rgb(0,0,0)",
         "theme" : "CanvasXpress",
         "xAxis" : ["V1","V2","V3","V4"]
      }

      // Event used to create graph (optional)
      var events = false


      // Call the CanvasXpress function to create the graph
      var cX = new CanvasXpress("canvasId", data, config, events);

      // Functions after rendering graph
      cX.segregateVariables(["Annt2"]);
      cX.segregateSamples(["Factor1"]);

    </script>

  </body>

</html>

library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-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/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  smpAnnot=x,
  varAnnot=z,
  graphOrientation="vertical",
  graphType="Bar",
  layoutCollapse=FALSE,
  layoutType="rows",
  showTransition=FALSE,
  stripBackgroundBorderColor="rgb(0,0,0)",
  stripTextColor="rgb(0,0,0)",
  theme="CanvasXpress",
  xAxis=list("V1", "V2", "V3", "V4"),
  afterRender=list(list("segregateVariables", list("Annt2")), list("segregateSamples", list("Factor1")))
)