Exploring Data with 3D Scatter Plot
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.
<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>
// Use a data frame (2D-array) for the graph
var data = [
[ "Id", "Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width", "Species"],
[ "s1", 5.1, 3.5, 1.4, 0.2, "setosa"],
[ "s2", 4.9, 3, 1.4, 0.2, "setosa"],
[ "s3", 4.7, 3.2, 1.3, 0.2, "setosa"],
[ "s4", 4.6, 3.1, 1.5, 0.2, "setosa"],
[ "s5", 5, 3.6, 1.4, 0.2, "setosa"],
[ "s6", 5.4, 3.9, 1.7, 0.4, "setosa"],
[ "s7", 4.6, 3.4, 1.4, 0.3, "setosa"],
[ "s8", 5, 3.4, 1.5, 0.2, "setosa"],
[ "s9", 4.4, 2.9, 1.4, 0.2, "setosa"],
[ "s10", 4.9, 3.1, 1.5, 0.1, "setosa"],
[ "s11", 5.4, 3.7, 1.5, 0.2, "setosa"],
[ "s12", 4.8, 3.4, 1.6, 0.2, "setosa"],
[ "s13", 4.8, 3, 1.4, 0.1, "setosa"],
[ "s14", 4.3, 3, 1.1, 0.1, "setosa"],
[ "s15", 5.8, 4, 1.2, 0.2, "setosa"],
[ "s16", 5.7, 4.4, 1.5, 0.4, "setosa"],
[ "s17", 5.4, 3.9, 1.3, 0.4, "setosa"],
[ "s18", 5.1, 3.5, 1.4, 0.3, "setosa"],
[ "s19", 5.7, 3.8, 1.7, 0.3, "setosa"],
[ "s20", 5.1, 3.8, 1.5, 0.3, "setosa"],
[ "s21", 5.4, 3.4, 1.7, 0.2, "setosa"],
[ "s22", 5.1, 3.7, 1.5, 0.4, "setosa"],
[ "s23", 4.6, 3.6, 1, 0.2, "setosa"],
[ "s24", 5.1, 3.3, 1.7, 0.5, "setosa"],
[ "s25", 4.8, 3.4, 1.9, 0.2, "setosa"],
[ "s26", 5, 3, 1.6, 0.2, "setosa"],
[ "s27", 5, 3.4, 1.6, 0.4, "setosa"],
[ "s28", 5.2, 3.5, 1.5, 0.2, "setosa"],
// ... (data truncated after 29 records for clarity)
]
// Create the configuration for the graph
var config = {
"axisTextScaleFontFactor": 0.5,
"axisTitleScaleFontFactor": 0.5,
"colorBy": "Species",
"graphType": "Scatter3D",
"legendKeyBackgroundBorderColor": "rgba(255,255,255,0)",
"legendKeyBackgroundColor": "rgba(255,255,255,0)",
"title": "Iris Data Set",
"xAxis": ["Sepal.Length"],
"yAxis": ["Sepal.Width"],
"zAxis": ["Petal.Length"]
}
// 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>
<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 = {
"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 = {
"axisTextScaleFontFactor": 0.5,
"axisTitleScaleFontFactor": 0.5,
"colorBy": "Species",
"graphType": "Scatter3D",
"legendKeyBackgroundBorderColor": "rgba(255,255,255,0)",
"legendKeyBackgroundColor": "rgba(255,255,255,0)",
"title": "Iris Data Set",
"xAxis": ["Sepal.Length"],
"yAxis": ["Sepal.Width"],
"zAxis": ["Petal.Length"]
}
// 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-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/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisTextScaleFontFactor=0.5,
axisTitleScaleFontFactor=0.5,
colorBy="Species",
graphType="Scatter3D",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
title="Iris Data Set",
xAxis=list("Sepal.Length"),
yAxis=list("Sepal.Width"),
zAxis=list("Petal.Length")
)
