A lollipop plot is basically a barplot, where the bar is transformed in a line and a dot. It shows the relationship between a numeric and a categoric variable. However it is more appealing and convey as well the information. It is especially useful when you have several bars of the same height: it avoids to have a cluttered figure and a Moiré effect. The Cleveland dot plot is a handy variation, allowing to compare the value of 2 numeric values for each group.
{ "y" : { "data" : [ [10,15,20,30,40,70,80,90] ], "smps" : ["S1","S2","S3","S4","S5","S6","S7","S8"], "vars" : ["V1"] } }
{ "barLollipopFactor":"3", "barType":"lollipop", "colorScheme":"CanvasXpress", "graphType":"Bar", "legendKeyBackgroundBorderColor":"rgba(0,0,0,0)", "legendKeyBackgroundColor":"rgba(0,0,0,0)", "showTransition":"false", "widthFactor":0.1 }
library(canvasXpress) y=read.table("https://www.canvasxpress.org/data/cX-lollipop-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE) canvasXpress( data=y, barLollipopFactor=3, barType="lollipop", colorScheme="CanvasXpress", graphType="Bar", legendKeyBackgroundBorderColor="rgba(0,0,0,0)", legendKeyBackgroundColor="rgba(0,0,0,0)", showTransition=FALSE, widthFactor=0.1 )
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