A SPLOM, or scatter plot matrix, visualizes relationships between multiple variables in a dataset. Each variable gets its own row and column, with scatter plots showing pairwise relationships. This allows for quick identification of correlations and patterns across many variables simultaneously. Useful in exploratory data analysis. Creating a SPLOM involves selecting relevant variables. The resulting graph provides a comprehensive overview of variable interactions, revealing potential clusters, outliers, and non-linear dependencies. Understanding the visual representation of correlation is crucial for interpretation. Different software packages offer SPLOM creation capabilities for efficient data exploration.
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} } // Create the configuration for the graph var config = { "broadcast" : true, "colorBy" : "Species", "graphType" : "Scatter2D", "layoutAdjust" : true, "scatterPlotMatrix" : true, "scatterPlotMatrixType" : "both", "theme" : "CanvasXpress", "xAxis" : ["Sepal.Length","Sepal.Width","Petal.Length","Petal.Width"] } // 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, broadcast=TRUE, colorBy="Species", graphType="Scatter2D", layoutAdjust=TRUE, scatterPlotMatrix=TRUE, scatterPlotMatrixType="both", theme="CanvasXpress", xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width") )