2D Kernel Density Surface

Scatter3D graphs are powerful visualization tools that extend the capabilities of traditional scatter plots into three dimensions. They display data points in a 3D space, allowing for the exploration of relationships between three variables simultaneously. This added dimension enhances the understanding of complex datasets where simple 2D plots might obscure important patterns or correlations. Interactive features, such as rotation and zooming, further facilitate detailed analysis. Applications of 3D scatter plots are diverse, spanning scientific research, data analytics, and engineering. Researchers can use them to visualize multi-dimensional data, helping identify clusters, outliers, and trends. Businesses utilize them for market analysis, identifying customer segments or product performance. Engineers leverage them to understand system behavior and optimize designs, by visualizing variables like pressure, temperature, and flow rate.


Economist GGPlot Excel Paul Tol Black And White Solarized Stata Tableau Wall Street CanvasXpress
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      // Create the configuration for the graph
      var config = {
         "graphType" : "Scatter3D",
         "scatterType" : "density",
         "fxSamples" : 60,
         "xAxis" : [
            "eruptions"
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         "yAxis" : [
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         "colorBy" : "Y",
         "colorSpectrum" : [
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            "#ffffbf",
            "#fdae61",
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         "outline3DColor" : "rgba(0,0,0,0)",
         "smoothSurface" : true,
         "title" : "2D Kernel Density Surface (Scatter3D)"
      }

      // 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);

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library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatter3d8-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorBy="Y",
colorSpectrum=list("#2c7bb6", "#abd9e9", "#ffffbf", "#fdae61", "#d7191c"),
fxSamples=60,
graphType="Scatter3D",
outline3DColor="rgba(0,0,0,0)",
scatterType="density",
smoothSurface=TRUE,
title="2D Kernel Density Surface (Scatter3D)",
xAxis=list("eruptions"),
yAxis=list("waiting")
)
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import show_in_browser

if __name__ == "__main__":
  # Define the chart with its data and configuration
  chart: CanvasXpress = CanvasXpress(
    render_to = "scatter3d8",
    data = {
      "y": {
        "vars": ["obs0", "obs1", "obs2", "obs3", "obs4", "obs5", "obs6", "obs7", "obs8", "obs9", "obs10", "obs11", "obs12", "obs13", "obs14", "obs15", "obs16", "obs17", "obs18", "obs19", "obs20", "obs21", "obs22", "obs23", "obs24", "obs25", "obs26", "obs27", "obs28", "obs29", "obs30", "obs31", "obs32", "obs33", "obs34", "obs35", "obs36", "obs37", "obs38", "obs39", "obs40", "obs41", "obs42", "obs43", "obs44", "obs45", "obs46", "obs47", "obs48", "obs49", "obs50", "obs51", "obs52", "obs53", "obs54", "obs55", "obs56", "obs57", "obs58", "obs59", "obs60", "obs61", "obs62", "obs63", "obs64", "obs65", "obs66", "obs67", "obs68", "obs69", "obs70", "obs71", "obs72", "obs73", "obs74", "obs75", "obs76", "obs77", "obs78", "obs79", "obs80", "obs81", "obs82", "obs83", "obs84", "obs85", "obs86", "obs87", "obs88", "obs89", "obs90", "obs91", "obs92", "obs93", "obs94", "obs95", "obs96", "obs97", "obs98", "obs99", "obs100", "obs101", "obs102", "obs103", "obs104", "obs105", "obs106", "obs107", "obs108", "obs109", "obs110", "obs111", "obs112", "obs113", "obs114", "obs115", "obs116", "obs117", "obs118", "obs119", "obs120", "obs121", "obs122", "obs123", "obs124", "obs125", "obs126", "obs127", "obs128", "obs129", "obs130", "obs131", "obs132", "obs133", "obs134", "obs135", "obs136", "obs137", "obs138", "obs139", "obs140", "obs141", "obs142", "obs143", "obs144", "obs145", "obs146", "obs147", "obs148", "obs149", "obs150", "obs151", "obs152", "obs153", "obs154", "obs155", "obs156", "obs157", "obs158", "obs159", "obs160", "obs161", "obs162", "obs163", "obs164", "obs165", "obs166", "obs167", "obs168", "obs169", "obs170", "obs171", "obs172", "obs173", "obs174", "obs175", "obs176", "obs177", "obs178", "obs179", "obs180", "obs181", "obs182", "obs183", "obs184", "obs185", "obs186", "obs187", "obs188", "obs189", "obs190", "obs191", "obs192", "obs193", "obs194", "obs195", "obs196", "obs197", "obs198", "obs199", "obs200", "obs201", "obs202", "obs203", "obs204", "obs205", "obs206", "obs207", "obs208", "obs209", "obs210", "obs211", "obs212", "obs213", "obs214", "obs215", "obs216", "obs217", "obs218", "obs219", "obs220", "obs221", "obs222", "obs223", "obs224", "obs225", "obs226", "obs227", "obs228", "obs229", "obs230", "obs231", "obs232", "obs233", "obs234", "obs235", "obs236", "obs237", "obs238", "obs239"],
        "smps": ["eruptions", "waiting"],
        "data": [
          [2.391, 68.4],
          [2.357, 69],
          [2.124, 68.05],
          [1.966, 68.29],
          [2.222, 66.97],
          [2.001, 71.24],
          [1.971, 71.56],
          [2.351, 65.88],
          [2.303, 70.4],
          [2.353, 71.97],
          [2.195, 71.13],
          [2.487, 67.63],
          [2.287, 70.41],
          [2.215, 67.44],
          [2.412, 69.03],
          [2.286, 70.84],
          [2.082, 65.73],
          [2.458, 66.75],
          [2.178, 69.83],
          [2.281, 66.72],
          [2.118, 65.18],
          [2.082, 73.5],
          [2.329, 70.44],
          [2.184, 74.72],
          [1.879, 73.74],
          [2.579, 71.1],
          [2.398, 68.77],
          [2.026, 74.04],
          [1.735, 70.07],
          [2.347, 69.56],
          [1.937, 69.4],
          [1.941, 70.13],
          [2.151, 67.44],
          [2.325, 73.24],
          [1.826, 68.65],
          [2.186, 69.97],
          [2.323, 73.99],
          [2.261, 72.17],
          [2.621, 71.89],
          [2.354, 70.49],
          [2.309, 70.04],
          [2.485, 71.92],
          [2.179, 70.62],
          [2.015, 67.69],
          [2.08, 70.38],
          [2.456, 67.79],
          [2.126, 69.88],
          [2.128, 65.38],
          [2.451, 70.86],
          [2.157, 67.7],
          [2.569, 68.19],
          [1.984, 70.09],
          [2.28, 69.48],
          [2.217, 70.58],
          [2.079, 69.26],
          [2.296, 71.25],
          [2.177, 67.09],
          [2.168, 67.1],
          [2.577, 68.68],
          [2.205, 67.68],
          [2.27, 71.05],
          [2.05, 70.23],
          [2.484, 67.99],
          [2.311, 75.92],
          [2.716, 67.11],
          [2.474, 72.18],
          [2.012, 66.61],
          [2.402, 69.83],
          [2.335, 72.36],
          [2.18, 69.35],
          [2.357, 69.94],
          [2.382, 72.56],
          [1.843, 67.87],
          [2.013, 69.1],
          [2.224, 71.74],
          [2.128, 69.43],
          [2.498, 73.5],
          [2.351, 68.49],
          [2.362, 71.98],
          [2.346, 67.63],
          [2.333, 68.23],
          [2.529, 72.06],
          [2.31, 67.19],
          [1.818, 67.73],
          [2.12, 68.36],
          [2.195, 71.15],
          [2.285, 72.84],
          [2.205, 66.64],
          [2.41, 72.5],
          [2.239, 70.27],
          [2.092, 72.32],
          [2.303, 70.23],
          [1.655, 70.33],
          [2.38, 69.89],
          [2.066, 69.45],
          [2.245, 70.9],
          [1.961, 67.27],
          [2.191, 69.19],
          [2.52, 71],
          [2.428, 67.31],
          [2.21, 71.38],
          [1.933, 72.89],
          [1.896, 74.66],
          [2.053, 69.4],
          [2.265, 72.14],
          [2.097, 68.58],
          [2.114, 69.43],
          [2.544, 69.48],
          [2.276, 74.74],
          [2.11, 71.44],
          [4.397, 80.9],
          [3.962, 78.08],
          [4.351, 82.1],
          [4.508, 82.53],
          [4.331, 79.74],
          [4.595, 86.1],
          [4.167, 79.58],
          [3.989, 86.78],
          [4.38, 81.02],
          [4.375, 84.8],
          [4.504, 83.26],
          [4.502, 81.61],
          [4.353, 83.21],
          [4.114, 84.09],
          [4.126, 85.51],
          [4.268, 81.52],
          [4.253, 83.16],
          [4.143, 80.11],
          [4.251, 81.73],
          [4.297, 83.02],
          [4.234, 80.93],
          [4.615, 85.89],
          [4.115, 86.38],
          [4.326, 84.1],
          [4.694, 87.45],
          [4.102, 81.19],
          [4.096, 83.16],
          [4.395, 78.77],
          [4.672, 81.62],
          [4.227, 84.94],
          [4.313, 84.92],
          [4.032, 81.22],
          [3.864, 85.41],
          [4.099, 84.87],
          [4.301, 79.5],
          [4.226, 80.82],
          [4.227, 75.77],
          [4.559, 82.87],
          [4.371, 82.85],
          [4.103, 79.34],
          [4.05, 82.37],
          [4.231, 79.02],
          [4.393, 83.54],
          [4.537, 83.86],
          [4.28, 81.66],
          [4.48, 82.7],
          [4.094, 83.86],
          [4.279, 83.02],
          [4.323, 80.07],
          [4.515, 78.45],
          [3.97, 78.76],
          [4.384, 81.64],
          [3.97, 80.46],
          [4.226, 80.46],
          [4.162, 84.17],
          [4.295, 84.99],
          [4.186, 82.73],
          [4.415, 80.46],
          [4.37, 79.94],
          [4.384, 85.43],
          [4.274, 84.36],
          [4.435, 81.85],
          [4.162, 84.99],
          [4.226, 77.02],
          [4.2, 82.28],
          [4.525, 78.91],
          [4.474, 80.38],
          [4.543, 81.09],
          [4.307, 80],
          [4.17, 76.78],
          [4.235, 83.66],
          [4.368, 80.47],
          [4.259, 80.15],
          [4.173, 80.29],
          [4.494, 79.73],
          [4.403, 83.24],
          [4.251, 83.27],
          [4.322, 80.25],
          [4.4, 79.97],
          [4.635, 85.33],
          [4.433, 80.98],
          [4.403, 81.97],
          [4.082, 77.48],
          [4.178, 81.38],
          [4.089, 86.17],
          [4.165, 81.07],
          [4.304, 84.3],
          [4.142, 88.23],
          [4.107, 84.14],
          [4.368, 85.21],
          [4.133, 82.21],
          [4.153, 78.48],
          [4.156, 80.33],
          [4.385, 79.16],
          [4.105, 82.42],
          [4.577, 84.74],
          [4.386, 80.67],
          [4.308, 81.07],
          [4.399, 81.6],
          [4.407, 80.83],
          [4.574, 82.89],
          [4.192, 82.93],
          [4.125, 84.4],
          [4.443, 81.08],
          [4.12, 78.12],
          [4.765, 86.07],
          [4.177, 80.45],
          [4.344, 84.34],
          [4.124, 76.64],
          [4.321, 86.12],
          [4.554, 79.7],
          [4.337, 77.47],
          [4.217, 78.26],
          [4.059, 85.31],
          [4.244, 76.18],
          [4.241, 80.79],
          [3.981, 83.04],
          [4.476, 82.02],
          [4.658, 84.09],
          [4.171, 80.83],
          [4.249, 85.47],
          [4.061, 78.58],
          [4.316, 76.26],
          [4.415, 83.67],
          [4.014, 82.74],
          [4.156, 79.04],
          [4.564, 83.79],
          [4.429, 82.27],
          [4.521, 73.92],
          [4.504, 79.45]
        ]
      }
    },
    config = {
      "graphType": "Scatter3D",
      "scatterType": "density",
      "fxSamples": 60,
      "xAxis": ["eruptions"],
      "yAxis": ["waiting"],
      "colorBy": "Y",
      "colorSpectrum": ["#2c7bb6", "#abd9e9", "#ffffbf", "#fdae61", "#d7191c"],
      "outline3DColor": "rgba(0,0,0,0)",
      "smoothSurface": True,
      "title": "2D Kernel Density Surface (Scatter3D)"
    },
    width = 600,
    height = 600
  )

  # Display the chart in its own Web page
  show_in_browser(chart)
Run this notebook: Open in Binder
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph

graph(
  CanvasXpress(
    render_to = "scatter3d8",
    data = {
      "y": {
        "vars": ["obs0", "obs1", "obs2", "obs3", "obs4", "obs5", "obs6", "obs7", "obs8", "obs9", "obs10", "obs11", "obs12", "obs13", "obs14", "obs15", "obs16", "obs17", "obs18", "obs19", "obs20", "obs21", "obs22", "obs23", "obs24", "obs25", "obs26", "obs27", "obs28", "obs29", "obs30", "obs31", "obs32", "obs33", "obs34", "obs35", "obs36", "obs37", "obs38", "obs39", "obs40", "obs41", "obs42", "obs43", "obs44", "obs45", "obs46", "obs47", "obs48", "obs49", "obs50", "obs51", "obs52", "obs53", "obs54", "obs55", "obs56", "obs57", "obs58", "obs59", "obs60", "obs61", "obs62", "obs63", "obs64", "obs65", "obs66", "obs67", "obs68", "obs69", "obs70", "obs71", "obs72", "obs73", "obs74", "obs75", "obs76", "obs77", "obs78", "obs79", "obs80", "obs81", "obs82", "obs83", "obs84", "obs85", "obs86", "obs87", "obs88", "obs89", "obs90", "obs91", "obs92", "obs93", "obs94", "obs95", "obs96", "obs97", "obs98", "obs99", "obs100", "obs101", "obs102", "obs103", "obs104", "obs105", "obs106", "obs107", "obs108", "obs109", "obs110", "obs111", "obs112", "obs113", "obs114", "obs115", "obs116", "obs117", "obs118", "obs119", "obs120", "obs121", "obs122", "obs123", "obs124", "obs125", "obs126", "obs127", "obs128", "obs129", "obs130", "obs131", "obs132", "obs133", "obs134", "obs135", "obs136", "obs137", "obs138", "obs139", "obs140", "obs141", "obs142", "obs143", "obs144", "obs145", "obs146", "obs147", "obs148", "obs149", "obs150", "obs151", "obs152", "obs153", "obs154", "obs155", "obs156", "obs157", "obs158", "obs159", "obs160", "obs161", "obs162", "obs163", "obs164", "obs165", "obs166", "obs167", "obs168", "obs169", "obs170", "obs171", "obs172", "obs173", "obs174", "obs175", "obs176", "obs177", "obs178", "obs179", "obs180", "obs181", "obs182", "obs183", "obs184", "obs185", "obs186", "obs187", "obs188", "obs189", "obs190", "obs191", "obs192", "obs193", "obs194", "obs195", "obs196", "obs197", "obs198", "obs199", "obs200", "obs201", "obs202", "obs203", "obs204", "obs205", "obs206", "obs207", "obs208", "obs209", "obs210", "obs211", "obs212", "obs213", "obs214", "obs215", "obs216", "obs217", "obs218", "obs219", "obs220", "obs221", "obs222", "obs223", "obs224", "obs225", "obs226", "obs227", "obs228", "obs229", "obs230", "obs231", "obs232", "obs233", "obs234", "obs235", "obs236", "obs237", "obs238", "obs239"],
        "smps": ["eruptions", "waiting"],
        "data": [
          [2.391, 68.4],
          [2.357, 69],
          [2.124, 68.05],
          [1.966, 68.29],
          [2.222, 66.97],
          [2.001, 71.24],
          [1.971, 71.56],
          [2.351, 65.88],
          [2.303, 70.4],
          [2.353, 71.97],
          [2.195, 71.13],
          [2.487, 67.63],
          [2.287, 70.41],
          [2.215, 67.44],
          [2.412, 69.03],
          [2.286, 70.84],
          [2.082, 65.73],
          [2.458, 66.75],
          [2.178, 69.83],
          [2.281, 66.72],
          [2.118, 65.18],
          [2.082, 73.5],
          [2.329, 70.44],
          [2.184, 74.72],
          [1.879, 73.74],
          [2.579, 71.1],
          [2.398, 68.77],
          [2.026, 74.04],
          [1.735, 70.07],
          [2.347, 69.56],
          [1.937, 69.4],
          [1.941, 70.13],
          [2.151, 67.44],
          [2.325, 73.24],
          [1.826, 68.65],
          [2.186, 69.97],
          [2.323, 73.99],
          [2.261, 72.17],
          [2.621, 71.89],
          [2.354, 70.49],
          [2.309, 70.04],
          [2.485, 71.92],
          [2.179, 70.62],
          [2.015, 67.69],
          [2.08, 70.38],
          [2.456, 67.79],
          [2.126, 69.88],
          [2.128, 65.38],
          [2.451, 70.86],
          [2.157, 67.7],
          [2.569, 68.19],
          [1.984, 70.09],
          [2.28, 69.48],
          [2.217, 70.58],
          [2.079, 69.26],
          [2.296, 71.25],
          [2.177, 67.09],
          [2.168, 67.1],
          [2.577, 68.68],
          [2.205, 67.68],
          [2.27, 71.05],
          [2.05, 70.23],
          [2.484, 67.99],
          [2.311, 75.92],
          [2.716, 67.11],
          [2.474, 72.18],
          [2.012, 66.61],
          [2.402, 69.83],
          [2.335, 72.36],
          [2.18, 69.35],
          [2.357, 69.94],
          [2.382, 72.56],
          [1.843, 67.87],
          [2.013, 69.1],
          [2.224, 71.74],
          [2.128, 69.43],
          [2.498, 73.5],
          [2.351, 68.49],
          [2.362, 71.98],
          [2.346, 67.63],
          [2.333, 68.23],
          [2.529, 72.06],
          [2.31, 67.19],
          [1.818, 67.73],
          [2.12, 68.36],
          [2.195, 71.15],
          [2.285, 72.84],
          [2.205, 66.64],
          [2.41, 72.5],
          [2.239, 70.27],
          [2.092, 72.32],
          [2.303, 70.23],
          [1.655, 70.33],
          [2.38, 69.89],
          [2.066, 69.45],
          [2.245, 70.9],
          [1.961, 67.27],
          [2.191, 69.19],
          [2.52, 71],
          [2.428, 67.31],
          [2.21, 71.38],
          [1.933, 72.89],
          [1.896, 74.66],
          [2.053, 69.4],
          [2.265, 72.14],
          [2.097, 68.58],
          [2.114, 69.43],
          [2.544, 69.48],
          [2.276, 74.74],
          [2.11, 71.44],
          [4.397, 80.9],
          [3.962, 78.08],
          [4.351, 82.1],
          [4.508, 82.53],
          [4.331, 79.74],
          [4.595, 86.1],
          [4.167, 79.58],
          [3.989, 86.78],
          [4.38, 81.02],
          [4.375, 84.8],
          [4.504, 83.26],
          [4.502, 81.61],
          [4.353, 83.21],
          [4.114, 84.09],
          [4.126, 85.51],
          [4.268, 81.52],
          [4.253, 83.16],
          [4.143, 80.11],
          [4.251, 81.73],
          [4.297, 83.02],
          [4.234, 80.93],
          [4.615, 85.89],
          [4.115, 86.38],
          [4.326, 84.1],
          [4.694, 87.45],
          [4.102, 81.19],
          [4.096, 83.16],
          [4.395, 78.77],
          [4.672, 81.62],
          [4.227, 84.94],
          [4.313, 84.92],
          [4.032, 81.22],
          [3.864, 85.41],
          [4.099, 84.87],
          [4.301, 79.5],
          [4.226, 80.82],
          [4.227, 75.77],
          [4.559, 82.87],
          [4.371, 82.85],
          [4.103, 79.34],
          [4.05, 82.37],
          [4.231, 79.02],
          [4.393, 83.54],
          [4.537, 83.86],
          [4.28, 81.66],
          [4.48, 82.7],
          [4.094, 83.86],
          [4.279, 83.02],
          [4.323, 80.07],
          [4.515, 78.45],
          [3.97, 78.76],
          [4.384, 81.64],
          [3.97, 80.46],
          [4.226, 80.46],
          [4.162, 84.17],
          [4.295, 84.99],
          [4.186, 82.73],
          [4.415, 80.46],
          [4.37, 79.94],
          [4.384, 85.43],
          [4.274, 84.36],
          [4.435, 81.85],
          [4.162, 84.99],
          [4.226, 77.02],
          [4.2, 82.28],
          [4.525, 78.91],
          [4.474, 80.38],
          [4.543, 81.09],
          [4.307, 80],
          [4.17, 76.78],
          [4.235, 83.66],
          [4.368, 80.47],
          [4.259, 80.15],
          [4.173, 80.29],
          [4.494, 79.73],
          [4.403, 83.24],
          [4.251, 83.27],
          [4.322, 80.25],
          [4.4, 79.97],
          [4.635, 85.33],
          [4.433, 80.98],
          [4.403, 81.97],
          [4.082, 77.48],
          [4.178, 81.38],
          [4.089, 86.17],
          [4.165, 81.07],
          [4.304, 84.3],
          [4.142, 88.23],
          [4.107, 84.14],
          [4.368, 85.21],
          [4.133, 82.21],
          [4.153, 78.48],
          [4.156, 80.33],
          [4.385, 79.16],
          [4.105, 82.42],
          [4.577, 84.74],
          [4.386, 80.67],
          [4.308, 81.07],
          [4.399, 81.6],
          [4.407, 80.83],
          [4.574, 82.89],
          [4.192, 82.93],
          [4.125, 84.4],
          [4.443, 81.08],
          [4.12, 78.12],
          [4.765, 86.07],
          [4.177, 80.45],
          [4.344, 84.34],
          [4.124, 76.64],
          [4.321, 86.12],
          [4.554, 79.7],
          [4.337, 77.47],
          [4.217, 78.26],
          [4.059, 85.31],
          [4.244, 76.18],
          [4.241, 80.79],
          [3.981, 83.04],
          [4.476, 82.02],
          [4.658, 84.09],
          [4.171, 80.83],
          [4.249, 85.47],
          [4.061, 78.58],
          [4.316, 76.26],
          [4.415, 83.67],
          [4.014, 82.74],
          [4.156, 79.04],
          [4.564, 83.79],
          [4.429, 82.27],
          [4.521, 73.92],
          [4.504, 79.45]
        ]
      }
    },
    config = {
      "graphType": "Scatter3D",
      "scatterType": "density",
      "fxSamples": 60,
      "xAxis": ["eruptions"],
      "yAxis": ["waiting"],
      "colorBy": "Y",
      "colorSpectrum": ["#2c7bb6", "#abd9e9", "#ffffbf", "#fdae61", "#d7191c"],
      "outline3DColor": "rgba(0,0,0,0)",
      "smoothSurface": True,
      "title": "2D Kernel Density Surface (Scatter3D)"
    },
    width = 600,
    height = 600
  )
)
using CanvasXpress

canvasxpress(Dict(
  "y" => Dict(
    "vars" => ["obs0", "obs1", "obs2", "obs3", "obs4", "obs5", "obs6", "obs7", "obs8", "obs9", "obs10", "obs11", "obs12", "obs13", "obs14", "obs15", "obs16", "obs17", "obs18", "obs19", "obs20", "obs21", "obs22", "obs23", "obs24", "obs25", "obs26", "obs27", "obs28", "obs29", "obs30", "obs31", "obs32", "obs33", "obs34", "obs35", "obs36", "obs37", "obs38", "obs39", "obs40", "obs41", "obs42", "obs43", "obs44", "obs45", "obs46", "obs47", "obs48", "obs49", "obs50", "obs51", "obs52", "obs53", "obs54", "obs55", "obs56", "obs57", "obs58", "obs59", "obs60", "obs61", "obs62", "obs63", "obs64", "obs65", "obs66", "obs67", "obs68", "obs69", "obs70", "obs71", "obs72", "obs73", "obs74", "obs75", "obs76", "obs77", "obs78", "obs79", "obs80", "obs81", "obs82", "obs83", "obs84", "obs85", "obs86", "obs87", "obs88", "obs89", "obs90", "obs91", "obs92", "obs93", "obs94", "obs95", "obs96", "obs97", "obs98", "obs99", "obs100", "obs101", "obs102", "obs103", "obs104", "obs105", "obs106", "obs107", "obs108", "obs109", "obs110", "obs111", "obs112", "obs113", "obs114", "obs115", "obs116", "obs117", "obs118", "obs119", "obs120", "obs121", "obs122", "obs123", "obs124", "obs125", "obs126", "obs127", "obs128", "obs129", "obs130", "obs131", "obs132", "obs133", "obs134", "obs135", "obs136", "obs137", "obs138", "obs139", "obs140", "obs141", "obs142", "obs143", "obs144", "obs145", "obs146", "obs147", "obs148", "obs149", "obs150", "obs151", "obs152", "obs153", "obs154", "obs155", "obs156", "obs157", "obs158", "obs159", "obs160", "obs161", "obs162", "obs163", "obs164", "obs165", "obs166", "obs167", "obs168", "obs169", "obs170", "obs171", "obs172", "obs173", "obs174", "obs175", "obs176", "obs177", "obs178", "obs179", "obs180", "obs181", "obs182", "obs183", "obs184", "obs185", "obs186", "obs187", "obs188", "obs189", "obs190", "obs191", "obs192", "obs193", "obs194", "obs195", "obs196", "obs197", "obs198", "obs199", "obs200", "obs201", "obs202", "obs203", "obs204", "obs205", "obs206", "obs207", "obs208", "obs209", "obs210", "obs211", "obs212", "obs213", "obs214", "obs215", "obs216", "obs217", "obs218", "obs219", "obs220", "obs221", "obs222", "obs223", "obs224", "obs225", "obs226", "obs227", "obs228", "obs229", "obs230", "obs231", "obs232", "obs233", "obs234", "obs235", "obs236", "obs237", "obs238", "obs239"],
    "smps" => ["eruptions", "waiting"],
    "data" => [
      [2.391, 68.4],
      [2.357, 69],
      [2.124, 68.05],
      [1.966, 68.29],
      [2.222, 66.97],
      [2.001, 71.24],
      [1.971, 71.56],
      [2.351, 65.88],
      [2.303, 70.4],
      [2.353, 71.97],
      [2.195, 71.13],
      [2.487, 67.63],
      [2.287, 70.41],
      [2.215, 67.44],
      [2.412, 69.03],
      [2.286, 70.84],
      [2.082, 65.73],
      [2.458, 66.75],
      [2.178, 69.83],
      [2.281, 66.72],
      [2.118, 65.18],
      [2.082, 73.5],
      [2.329, 70.44],
      [2.184, 74.72],
      [1.879, 73.74],
      [2.579, 71.1],
      [2.398, 68.77],
      [2.026, 74.04],
      [1.735, 70.07],
      [2.347, 69.56],
      [1.937, 69.4],
      [1.941, 70.13],
      [2.151, 67.44],
      [2.325, 73.24],
      [1.826, 68.65],
      [2.186, 69.97],
      [2.323, 73.99],
      [2.261, 72.17],
      [2.621, 71.89],
      [2.354, 70.49],
      [2.309, 70.04],
      [2.485, 71.92],
      [2.179, 70.62],
      [2.015, 67.69],
      [2.08, 70.38],
      [2.456, 67.79],
      [2.126, 69.88],
      [2.128, 65.38],
      [2.451, 70.86],
      [2.157, 67.7],
      [2.569, 68.19],
      [1.984, 70.09],
      [2.28, 69.48],
      [2.217, 70.58],
      [2.079, 69.26],
      [2.296, 71.25],
      [2.177, 67.09],
      [2.168, 67.1],
      [2.577, 68.68],
      [2.205, 67.68],
      [2.27, 71.05],
      [2.05, 70.23],
      [2.484, 67.99],
      [2.311, 75.92],
      [2.716, 67.11],
      [2.474, 72.18],
      [2.012, 66.61],
      [2.402, 69.83],
      [2.335, 72.36],
      [2.18, 69.35],
      [2.357, 69.94],
      [2.382, 72.56],
      [1.843, 67.87],
      [2.013, 69.1],
      [2.224, 71.74],
      [2.128, 69.43],
      [2.498, 73.5],
      [2.351, 68.49],
      [2.362, 71.98],
      [2.346, 67.63],
      [2.333, 68.23],
      [2.529, 72.06],
      [2.31, 67.19],
      [1.818, 67.73],
      [2.12, 68.36],
      [2.195, 71.15],
      [2.285, 72.84],
      [2.205, 66.64],
      [2.41, 72.5],
      [2.239, 70.27],
      [2.092, 72.32],
      [2.303, 70.23],
      [1.655, 70.33],
      [2.38, 69.89],
      [2.066, 69.45],
      [2.245, 70.9],
      [1.961, 67.27],
      [2.191, 69.19],
      [2.52, 71],
      [2.428, 67.31],
      [2.21, 71.38],
      [1.933, 72.89],
      [1.896, 74.66],
      [2.053, 69.4],
      [2.265, 72.14],
      [2.097, 68.58],
      [2.114, 69.43],
      [2.544, 69.48],
      [2.276, 74.74],
      [2.11, 71.44],
      [4.397, 80.9],
      [3.962, 78.08],
      [4.351, 82.1],
      [4.508, 82.53],
      [4.331, 79.74],
      [4.595, 86.1],
      [4.167, 79.58],
      [3.989, 86.78],
      [4.38, 81.02],
      [4.375, 84.8],
      [4.504, 83.26],
      [4.502, 81.61],
      [4.353, 83.21],
      [4.114, 84.09],
      [4.126, 85.51],
      [4.268, 81.52],
      [4.253, 83.16],
      [4.143, 80.11],
      [4.251, 81.73],
      [4.297, 83.02],
      [4.234, 80.93],
      [4.615, 85.89],
      [4.115, 86.38],
      [4.326, 84.1],
      [4.694, 87.45],
      [4.102, 81.19],
      [4.096, 83.16],
      [4.395, 78.77],
      [4.672, 81.62],
      [4.227, 84.94],
      [4.313, 84.92],
      [4.032, 81.22],
      [3.864, 85.41],
      [4.099, 84.87],
      [4.301, 79.5],
      [4.226, 80.82],
      [4.227, 75.77],
      [4.559, 82.87],
      [4.371, 82.85],
      [4.103, 79.34],
      [4.05, 82.37],
      [4.231, 79.02],
      [4.393, 83.54],
      [4.537, 83.86],
      [4.28, 81.66],
      [4.48, 82.7],
      [4.094, 83.86],
      [4.279, 83.02],
      [4.323, 80.07],
      [4.515, 78.45],
      [3.97, 78.76],
      [4.384, 81.64],
      [3.97, 80.46],
      [4.226, 80.46],
      [4.162, 84.17],
      [4.295, 84.99],
      [4.186, 82.73],
      [4.415, 80.46],
      [4.37, 79.94],
      [4.384, 85.43],
      [4.274, 84.36],
      [4.435, 81.85],
      [4.162, 84.99],
      [4.226, 77.02],
      [4.2, 82.28],
      [4.525, 78.91],
      [4.474, 80.38],
      [4.543, 81.09],
      [4.307, 80],
      [4.17, 76.78],
      [4.235, 83.66],
      [4.368, 80.47],
      [4.259, 80.15],
      [4.173, 80.29],
      [4.494, 79.73],
      [4.403, 83.24],
      [4.251, 83.27],
      [4.322, 80.25],
      [4.4, 79.97],
      [4.635, 85.33],
      [4.433, 80.98],
      [4.403, 81.97],
      [4.082, 77.48],
      [4.178, 81.38],
      [4.089, 86.17],
      [4.165, 81.07],
      [4.304, 84.3],
      [4.142, 88.23],
      [4.107, 84.14],
      [4.368, 85.21],
      [4.133, 82.21],
      [4.153, 78.48],
      [4.156, 80.33],
      [4.385, 79.16],
      [4.105, 82.42],
      [4.577, 84.74],
      [4.386, 80.67],
      [4.308, 81.07],
      [4.399, 81.6],
      [4.407, 80.83],
      [4.574, 82.89],
      [4.192, 82.93],
      [4.125, 84.4],
      [4.443, 81.08],
      [4.12, 78.12],
      [4.765, 86.07],
      [4.177, 80.45],
      [4.344, 84.34],
      [4.124, 76.64],
      [4.321, 86.12],
      [4.554, 79.7],
      [4.337, 77.47],
      [4.217, 78.26],
      [4.059, 85.31],
      [4.244, 76.18],
      [4.241, 80.79],
      [3.981, 83.04],
      [4.476, 82.02],
      [4.658, 84.09],
      [4.171, 80.83],
      [4.249, 85.47],
      [4.061, 78.58],
      [4.316, 76.26],
      [4.415, 83.67],
      [4.014, 82.74],
      [4.156, 79.04],
      [4.564, 83.79],
      [4.429, 82.27],
      [4.521, 73.92],
      [4.504, 79.45]
    ]
  )
);
  graphType = "Scatter3D",
  scatterType = "density",
  fxSamples = 60,
  xAxis = ["eruptions"],
  yAxis = ["waiting"],
  colorBy = "Y",
  colorSpectrum = ["#2c7bb6", "#abd9e9", "#ffffbf", "#fdae61", "#d7191c"],
  outline3DColor = "rgba(0,0,0,0)",
  smoothSurface = true,
  title = "2D Kernel Density Surface (Scatter3D)"
)
⇧