Trend Analysis with Treemaps
Treemap graphs are a powerful data visualization tool that displays hierarchical data as a set of nested rectangles. Each rectangle size corresponds to a value, allowing for quick comparisons of proportions within a dataset. They are ideal for showing parts of a whole, such as market share, budget allocation, or file system usage. The hierarchical nature allows users to easily drill down into details. Effective treemaps utilize color and labeling strategically to enhance readability. Color-coding can highlight different categories or groups, while clear labels prevent visual clutter. These graphs are exceptionally useful for exploring complex datasets and identifying key contributors or outliers. Interactive treemaps provide even greater insight, enabling users to zoom, filter, and explore the data dynamically.
<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", "V1", "V2", "V3", "V4", "Factor4", "Factor6", "Factor3", "Factor1", "Factor2", "Factor5"],
[ "S1", 5, 95, 25, 55, 5, 10, "Lev : X", "Lev : 1", "Lev : A", 8],
[ "S2", 10, 80, 30, 40, 10, 20, "Lev : X", "Lev : 2", "Lev : B", 16],
[ "S3", 25, 75, 45, 35, 15, 30, "Lev : Y", "Lev : 3", "Lev : A", 24],
[ "S4", 40, 70, 60, 30, 20, 40, "Lev : Y", "Lev : 1", "Lev : B", 32],
[ "S5", 45, 55, 65, 15, 25, 50, "Lev : Z", "Lev : 2", "Lev : A", 40],
[ "S6", 50, 40, 70, 1, 30, 60, "Lev : Z", "Lev : 3", "Lev : B", 48 ]
];
// Create the configuration for the graph
var config = {
"graphType": "Treemap",
"xAxis": ["V1", "V2", "V3", "V4"]
}
// 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 = {
"x" : {
"Factor1" : ["Lev : 1","Lev : 2","Lev : 3","Lev : 1","Lev : 2","Lev : 3"],
"Factor2" : ["Lev : A","Lev : B","Lev : A","Lev : B","Lev : A","Lev : B"],
"Factor3" : ["Lev : X","Lev : X","Lev : Y","Lev : Y","Lev : Z","Lev : Z"],
"Factor4" : [5,10,15,20,25,30],
"Factor5" : [8,16,24,32,40,48],
"Factor6" : [10,20,30,40,50,60]
},
"y" : {
"data" : [
[5,10,25,40,45,50],
[95,80,75,70,55,40],
[25,30,45,60,65,70],
[55,40,35,30,15,1]
],
"desc" : ["Magnitude1","Magnitude2"],
"smps" : ["S1","S2","S3","S4","S5","S6"],
"vars" : ["V1","V2","V3","V4"]
},
"z" : {
"Annt1" : ["Desc : 1","Desc : 2","Desc : 3","Desc : 4"],
"Annt2" : ["Desc : A","Desc : B","Desc : A","Desc : B"],
"Annt3" : ["Desc : X","Desc : X","Desc : Y","Desc : Y"],
"Annt4" : [5,10,15,20],
"Annt5" : [8,16,24,32],
"Annt6" : [10,20,30,40]
}
}
// Create the configuration for the graph
var config = {
"graphType": "Treemap",
"xAxis": ["V1", "V2", "V3", "V4"]
}
// 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-generic-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-generic-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-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Treemap",
xAxis=list("V1", "V2", "V3", "V4")
)
