Effortlessly Analyze Data with Heatmap

Heatmap graphs provide a visual representation of data using color variations to represent different values. They are incredibly useful for identifying patterns, trends, and outliers in datasets. Commonly used in various fields, from geographical analysis to website usability studies, heatmaps offer an intuitive way to understand complex data. Creating effective heatmaps involves selecting the appropriate color scheme and scaling to highlight meaningful differences. Interactive heatmaps further enhance analysis by allowing users to zoom, pan, and explore data points in detail. This makes them powerful tools for data-driven decision making across numerous disciplines.

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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" : {
            "Dose" : [0,0,0,0,0,5,5,10,10,15,15,20,20,25,25,5,5,10,10,15,15,20,20,25,25],
            "Dose-Type" : ["","","","","","Dose1","Dose1","Dose2","Dose2","Dose3","Dose3","Dose4","Dose4","Dose5","Dose5","Dose1","Dose1","Dose2","Dose2","Dose3","Dose3","Dose4","Dose4","Dose5","Dose5"],
            "Site" : ["Site1","Site1","Site1","Site1","Site1","Site2","Site2","Site2","Site2","Site2","Site2","Site2","Site2","Site2","Site2","Site3","Site3","Site3","Site3","Site3","Site3","Site3","Site3","Site3","Site3"],
            "Treatment" : ["Control","Control","Control","Control","Control","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB","TreatmentA","TreatmentB"]
         },
         "y" : {
            "data" : [
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              [0.486,2.15,-0.069,-0.468,0.402,0.725,-1.697,0.653,0.101,2.852,-0.27,0.414,-0.789,1.877,1.555,2.511,0.07,0.244,-0.41,2.345,2.401,-0.033,0.951,2.053,0.725],
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              [-0.26,-0.005,-0.12,-0.422,0.629,1.242,3.954,-0.027,4.352,-0.074,4.369,0.196,4.847,-0.763,3.042,-1.643,3.952,-1.358,4.105,-0.257,4.168,0.047,1.782,-0.585,5.465],
              [1.882,0.869,-1.305,1.095,1.002,-0.897,3.248,1.113,5.83,0.298,4.811,-0.128,3.263,0.186,4.244,1.314,2.832,0.222,3.899,-1.279,4.133,-1.523,4.49,0.966,4.658],
              [-1.052,0.429,0.646,0.642,1.037,-1.046,1.724,-0.698,5.316,-0.403,2.821,-0.108,5.52,-0.352,3.298,-0.716,2.672,1.499,3.919,0.202,3.409,0.841,5.47,1.225,1.988],
              [-1.862,-0.589,0.205,1.281,-1.256,0.924,4.189,-1.219,3.137,0.142,5.869,0.529,2.138,-0.034,3.921,-1.097,5.402,1.468,5.034,0.088,3.055,1.587,3.374,0.377,2.939],
              [-0.315,-0.369,0.634,0.495,-1.059,-0.481,1.329,1.105,5.3,0.135,6.515,0.001,4.161,1.686,4.747,-0.911,3.24,-1.461,4.64,0.698,5.006,-1.072,4.608,-0.317,5.208],
              [0.558,0.793,-1.713,0.055,2.242,0.588,3.785,2.949,2.175,2.055,3.328,0.236,3.549,-0.009,1.477,0.538,3.116,-0.621,5.203,0.736,3.606,-0.313,4.402,-1.039,3.894],
              [-1.332,-1.134,0.153,0.66,1.764,-0.588,3.417,-0.547,3.849,-1.521,3.332,0.88,5.449,0.179,4.596,0.626,4.006,0.33,2.969,-0.42,2.606,-0.485,4.581,-0.199,5.008],
              [0.29,0.228,0.117,-0.587,-2.116,0.188,4.009,0.551,3.127,0.682,3.858,-1.053,4.388,-1.46,1.468,0.434,4.221,0.782,2.992,0.056,5.223,-0.747,6.549,-0.959,3.714],
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              [-0.984,0.915,0.944,-1.975,-1.717,0.16,4.748,1.521,4.091,-0.386,3.802,-1.134,5.701,-0.402,5.682,-0.987,4.281,0.844,3.427,1.368,3.358,-1.748,3.792,2.125,5.137],
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            ],
            "smps" : ["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"],
            "vars" : ["V1","V2","V3","V4","V5","V6","V7","V8","V9","V10","V11","V12","V13","V14","V15","V16","V17","V18","V19","V20","V21","V22","V23","V24","V25","V26","V27","V28","V29","V30","V31","V32","V33","V34","V35","V36","V37","V38","V39","V40"]
         },
         "z" : {
            "Lab" : ["A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B","B"],
            "Sens" : [1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4],
            "Type" : ["Pro","Tyr","Pho","Kin","Oth","Pro","Tyr","Pho","Kin","Oth","Pro","Tyr","Pho","Kin","Oth","Pro","Tyr","Pho","Kin","Oth","Pro","Tyr","Pho","Kin","Oth","Pro","Tyr","Pho","Kin","Oth","Pro","Tyr","Pho","Kin","Oth","Pro","Tyr","Pho","Kin","Oth"]
         }
      }

      // Create the configuration for the graph
      var config = {
         "colorSpectrum" : ["navy","white","firebrick3"],
         "graphType" : "Heatmap",
         "title" : "Simple Heatmap",
         "xAxis" : ["V1","V2","V3","V4","V5","V6","V7","V8","V9","V10","V11","V12","V13","V14","V15","V16","V17","V18","V19","V20","V21","V22","V23","V24","V25","V26","V27","V28","V29","V30","V31","V32","V33","V34","V35","V36","V37","V38","V39","V40"]
      }

      // 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);

      
    </script>

  </body>

</html>

library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-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-heatmapR-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-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  smpAnnot=x,
  varAnnot=z,
  colorSpectrum=list("navy", "white", "firebrick3"),
  graphType="Heatmap",
  title="Simple Heatmap",
  xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)