ParallelCoordinates Chart

Parallel plot or Parallel Coordinates plot allows to compare the feature of several individual observations on a set of numeric variables. Each vertical bar represents a variable and usually has its own scale. (The units can even be different). Values are then plotted as series of lines connected across each axis. Parallel plot is the equivalent of a spider chart, but with cartesian coordinates. Thus, it is often prefered.


Example Color Themes

Example Fonts



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Tools

<!-- 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/canvasXpress.min.js"></script>


<!-- 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 = {
     "y" : {
        "data" : [
          [5.1,3.5,1.4,0.2],[4.9,3,1.4,0.2],[4.7,3.2,1.3,0.2],[4.6,3.1,1.5,0.2],[5,3.6,1.4,0.2],[5.4,3.9,1.7,0.4],[4.6,3.4,1.4,0.3],[5,3.4,1.5,0.2],[4.4,2.9,1.4,0.2],[4.9,3.1,1.5,0.1],[5.4,3.7,1.5,0.2],[4.8,3.4,1.6,0.2],[4.8,3,1.4,0.1],[4.3,3,1.1,0.1],[5.8,4,1.2,0.2],[5.7,4.4,1.5,0.4],[5.4,3.9,1.3,0.4],[5.1,3.5,1.4,0.3],[5.7,3.8,1.7,0.3],[5.1,3.8,1.5,0.3],[5.4,3.4,1.7,0.2],[5.1,3.7,1.5,0.4],[4.6,3.6,1,0.2],[5.1,3.3,1.7,0.5],[4.8,3.4,1.9,0.2],[5,3,1.6,0.2],[5,3.4,1.6,0.4],[5.2,3.5,1.5,0.2],[5.2,3.4,1.4,0.2],[4.7,3.2,1.6,0.2],[4.8,3.1,1.6,0.2],[5.4,3.4,1.5,0.4],[5.2,4.1,1.5,0.1],[5.5,4.2,1.4,0.2],[4.9,3.1,1.5,0.2],[5,3.2,1.2,0.2],[5.5,3.5,1.3,0.2],[4.9,3.6,1.4,0.1],[4.4,3,1.3,0.2],[5.1,3.4,1.5,0.2],[5,3.5,1.3,0.3],[4.5,2.3,1.3,0.3],[4.4,3.2,1.3,0.2],[5,3.5,1.6,0.6],[5.1,3.8,1.9,0.4],[4.8,3,1.4,0.3],[5.1,3.8,1.6,0.2],[4.6,3.2,1.4,0.2],[5.3,3.7,1.5,0.2],[5,3.3,1.4,0.2],[7,3.2,4.7,1.4],[6.4,3.2,4.5,1.5],[6.9,3.1,4.9,1.5],[5.5,2.3,4,1.3],[6.5,2.8,4.6,1.5],[5.7,2.8,4.5,1.3],[6.3,3.3,4.7,1.6],[4.9,2.4,3.3,1],[6.6,2.9,4.6,1.3],[5.2,2.7,3.9,1.4],[5,2,3.5,1],[5.9,3,4.2,1.5],[6,2.2,4,1],[6.1,2.9,4.7,1.4],[5.6,2.9,3.6,1.3],[6.7,3.1,4.4,1.4],[5.6,3,4.5,1.5],[5.8,2.7,4.1,1],[6.2,2.2,4.5,1.5],[5.6,2.5,3.9,1.1],[5.9,3.2,4.8,1.8],[6.1,2.8,4,1.3],[6.3,2.5,4.9,1.5],[6.1,2.8,4.7,1.2],[6.4,2.9,4.3,1.3],[6.6,3,4.4,1.4],[6.8,2.8,4.8,1.4],[6.7,3,5,1.7],[6,2.9,4.5,1.5],[5.7,2.6,3.5,1],[5.5,2.4,3.8,1.1],[5.5,2.4,3.7,1],[5.8,2.7,3.9,1.2],[6,2.7,5.1,1.6],[5.4,3,4.5,1.5],[6,3.4,4.5,1.6],[6.7,3.1,4.7,1.5],[6.3,2.3,4.4,1.3],[5.6,3,4.1,1.3],[5.5,2.5,4,1.3],[5.5,2.6,4.4,1.2],[6.1,3,4.6,1.4],[5.8,2.6,4,1.2],[5,2.3,3.3,1],[5.6,2.7,4.2,1.3],[5.7,3,4.2,1.2],[5.7,2.9,4.2,1.3],[6.2,2.9,4.3,1.3],[5.1,2.5,3,1.1],[5.7,2.8,4.1,1.3],[6.3,3.3,6,2.5],[5.8,2.7,5.1,1.9],[7.1,3,5.9,2.1],[6.3,2.9,5.6,1.8],[6.5,3,5.8,2.2],[7.6,3,6.6,2.1],[4.9,2.5,4.5,1.7],[7.3,2.9,6.3,1.8],[6.7,2.5,5.8,1.8],[7.2,3.6,6.1,2.5],[6.5,3.2,5.1,2],[6.4,2.7,5.3,1.9],[6.8,3,5.5,2.1],[5.7,2.5,5,2],[5.8,2.8,5.1,2.4],[6.4,3.2,5.3,2.3],[6.5,3,5.5,1.8],[7.7,3.8,6.7,2.2],[7.7,2.6,6.9,2.3],[6,2.2,5,1.5],[6.9,3.2,5.7,2.3],[5.6,2.8,4.9,2],[7.7,2.8,6.7,2],[6.3,2.7,4.9,1.8],[6.7,3.3,5.7,2.1],[7.2,3.2,6,1.8],[6.2,2.8,4.8,1.8],[6.1,3,4.9,1.8],[6.4,2.8,5.6,2.1],[7.2,3,5.8,1.6],[7.4,2.8,6.1,1.9],[7.9,3.8,6.4,2],[6.4,2.8,5.6,2.2],[6.3,2.8,5.1,1.5],[6.1,2.6,5.6,1.4],[7.7,3,6.1,2.3],[6.3,3.4,5.6,2.4],[6.4,3.1,5.5,1.8],[6,3,4.8,1.8],[6.9,3.1,5.4,2.1],[6.7,3.1,5.6,2.4],[6.9,3.1,5.1,2.3],[5.8,2.7,5.1,1.9],[6.8,3.2,5.9,2.3],[6.7,3.3,5.7,2.5],[6.7,3,5.2,2.3],[6.3,2.5,5,1.9],[6.5,3,5.2,2],[6.2,3.4,5.4,2.3],[5.9,3,5.1,1.8]
        ],
        "smps" : ["Sepal.Length","Sepal.Width","Petal.Length","Petal.Width"],
        "vars" : ["s1","s2","s3","s4","s5","s6","s7","s8","s9","s10","s11","s12","s13","s14","s15","s16","s17","s18","s19","s20","s21","s22","s23","s24","s25","s26","s27","s28","s29","s30","s31","s32","s33","s34","s35","s36","s37","s38","s39","s40","s41","s42","s43","s44","s45","s46","s47","s48","s49","s50","s51","s52","s53","s54","s55","s56","s57","s58","s59","s60","s61","s62","s63","s64","s65","s66","s67","s68","s69","s70","s71","s72","s73","s74","s75","s76","s77","s78","s79","s80","s81","s82","s83","s84","s85","s86","s87","s88","s89","s90","s91","s92","s93","s94","s95","s96","s97","s98","s99","s100","s101","s102","s103","s104","s105","s106","s107","s108","s109","s110","s111","s112","s113","s114","s115","s116","s117","s118","s119","s120","s121","s122","s123","s124","s125","s126","s127","s128","s129","s130","s131","s132","s133","s134","s135","s136","s137","s138","s139","s140","s141","s142","s143","s144","s145","s146","s147","s148","s149","s150"]
     },
     "z" : {
        "Species" : ["setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","setosa","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","versicolor","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica","virginica"]
     }
  }
  
  
  <-- Create the configuration for the graph -->
  var config = {
     "colorBy":"Species",
     "graphOrientation":"vertical",
     "graphType":"ParallelCoordinates",
     "lineDecoration":"false",
     "showTransition":"false",
     "smpLabelRotate":"90",
     "theme":"CanvasXpress",
     "title":"Iris flower data set"
  }
  

  <!-- Call the CanvasXpress function to create the graph -->
  var cX = new CanvasXpress("canvasId", data, config);


</script>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  varAnnot=z,
  colorBy="Species",
  graphOrientation="vertical",
  graphType="ParallelCoordinates",
  lineDecoration=FALSE,
  showTransition=FALSE,
  smpLabelRotate=90,
  theme="CanvasXpress",
  title="Iris flower data set"
)