Correlated Bivariate 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.
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<head>
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var data =
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var config = {
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"scatterType" : "density",
"xAxis" : [
"height"
],
"yAxis" : [
"weight"
],
"colorBy" : "Y",
"colorScheme" : "Viridis",
"outline3DColor" : "rgba(0,0,0,0.12)",
"smoothSurface" : false,
"title" : "Correlated Bivariate Density (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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</body>
</html>
<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>
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<canvas id="canvasId" width="600" height="600"></canvas>
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}
// Create the configuration for the graph
var config = {
"graphType" : "Scatter3D",
"scatterType" : "density",
"xAxis" : [
"height"
],
"yAxis" : [
"weight"
],
"colorBy" : "Y",
"colorScheme" : "Viridis",
"outline3DColor" : "rgba(0,0,0,0.12)",
"smoothSurface" : false,
"title" : "Correlated Bivariate Density (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-scatter3d9-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorBy="Y",
colorScheme="Viridis",
graphType="Scatter3D",
outline3DColor="rgba(0,0,0,0.12)",
scatterType="density",
smoothSurface=FALSE,
title="Correlated Bivariate Density (Scatter3D)",
xAxis=list("height"),
yAxis=list("weight")
)
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 = "scatter3d9",
data = {
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"smps": ["height", "weight"],
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[8.363, 43.94],
[9.625, 49.22],
[10.477, 51.91],
[10.915, 53.1],
[9.536, 47.14],
[9.197, 46.24]
]
}
},
config = {
"graphType": "Scatter3D",
"scatterType": "density",
"xAxis": ["height"],
"yAxis": ["weight"],
"colorBy": "Y",
"colorScheme": "Viridis",
"outline3DColor": "rgba(0,0,0,0.12)",
"smoothSurface": False,
"title": "Correlated Bivariate Density (Scatter3D)"
},
width = 600,
height = 600
)
# Display the chart in its own Web page
show_in_browser(chart)
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph
graph(
CanvasXpress(
render_to = "scatter3d9",
data = {
"y": {
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"smps": ["height", "weight"],
"data": [
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]
}
},
config = {
"graphType": "Scatter3D",
"scatterType": "density",
"xAxis": ["height"],
"yAxis": ["weight"],
"colorBy": "Y",
"colorScheme": "Viridis",
"outline3DColor": "rgba(0,0,0,0.12)",
"smoothSurface": False,
"title": "Correlated Bivariate Density (Scatter3D)"
},
width = 600,
height = 600
)
)
using CanvasXpress
canvasxpress(Dict(
"y" => Dict(
"vars" => ["s0", "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", "s151", "s152", "s153", "s154", "s155", "s156", "s157", "s158", "s159", "s160", "s161", "s162", "s163", "s164", "s165", "s166", "s167", "s168", "s169", "s170", "s171", "s172", "s173", "s174", "s175", "s176", "s177", "s178", "s179", "s180", "s181", "s182", "s183", "s184", "s185", "s186", "s187", "s188", "s189", "s190", "s191", "s192", "s193", "s194", "s195", "s196", "s197", "s198", "s199", "s200", "s201", "s202", "s203", "s204", "s205", "s206", "s207", "s208", "s209", "s210", "s211", "s212", "s213", "s214", "s215", "s216", "s217", "s218", "s219"],
"smps" => ["height", "weight"],
"data" => [
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[9.929, 50.56],
[9.905, 49.62],
[8.623, 47.56],
[9.73, 47.99],
[9.746, 50.05],
[9.937, 50.12],
[10.628, 51.26],
[10.335, 51.4],
[10.103, 50.54],
[10.1, 51.88],
[11.049, 50.93],
[8.944, 46.83],
[9.333, 49.9],
[9.46, 48.81],
[9.136, 49.32],
[10.996, 54.24],
[8.945, 48.28],
[10.602, 51.92],
[10.985, 51.27],
[9.447, 48.4],
[8.176, 46.57],
[10.009, 50.58],
[10.378, 48.63],
[10.616, 50.89],
[9.046, 47.72],
[8.662, 45.76],
[9.217, 49.28],
[8.121, 46.04],
[11.061, 51.11],
[8.975, 45.11],
[8.48, 46.77],
[10.372, 49.1],
[10.897, 51.34],
[11.034, 53.56],
[10.566, 52.25],
[9.691, 48.81],
[11.318, 54.34],
[10.687, 51.6],
[8.363, 43.94],
[9.625, 49.22],
[10.477, 51.91],
[10.915, 53.1],
[9.536, 47.14],
[9.197, 46.24]
]
)
);
graphType = "Scatter3D",
scatterType = "density",
xAxis = ["height"],
yAxis = ["weight"],
colorBy = "Y",
colorScheme = "Viridis",
outline3DColor = "rgba(0,0,0,0.12)",
smoothSurface = false,
title = "Correlated Bivariate Density (Scatter3D)"
)










