Faceted Grouped Bar Charts with Error Bars and In-Plot Data Labels
Bar graphs are visual tools used to represent data using rectangular bars of varying heights or lengths. The length of each bar is proportional to the value it represents, making it easy to compare different categories or groups. They are ideal for showcasing discrete data and making comparisons between categories readily apparent. Variations include vertical and horizontal bar graphs, clustered bar graphs for showing multiple data sets, and stacked bar graphs for showing components of a whole. Creating effective bar graphs involves selecting appropriate scales, labeling axes clearly, and using color or patterns to improve understanding. They are frequently used across various fields, from business reports to scientific presentations.
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]
},
"graphOrientation": "vertical",
"groupingFactors": [
"stress"
],
"guidesColor": "rgb(235,235,235)",
"layoutAdjust": true,
"layoutGlobalGroups": true,
"layoutTopology": "3X3",
"legendColumns": 8,
"legendHorizontalJustification": null,
"legendKeyBackgroundBorderColor": "rgb(255,255,255)",
"legendKeyBackgroundColor": "rgb(255,255,255)",
"legendPosition": "top",
"legendStyleGgplot": true,
"legendTextScaleFontFactor": 0.7,
"metaData": {
"gene": true,
"stress": true,
"time": true,
"mean": false,
"se": false,
"letter": false
},
"objectBorderColor": "rgb(0,0,0)",
"panelBackgroundBorderColor": "rgb(0,0,0)",
"panelBackgroundColor": "rgb(255,255,255)",
"segregateSamplesBy": [
"gene"
],
"showAnimation": false,
"smpTextColor": "rgb(0,0,0)",
"smpTextRotate": 90,
"smpTextScaleFontFactor": 0.7,
"smpTitle": "",
"sortOnGrouping": "ascending",
"stripBackgroundBorderColor": "rgb(0,0,0)",
"stripBackgroundColor": "rgb(242,242,242)",
"stripTextColor": "rgb(0,0,0)",
"stripTextFontStyle": "bold",
"stripTextScaleFontFactor": 0.6,
"summaryType": "sum",
"theme": "GGPlot",
"xAxis": [
"Mock",
"06h",
"12h",
"24h"
],
"xAxisGridMajorColor": "rgb(235,235,235)",
"xAxisGridMajorShow": false,
"xAxisGridMinorColor": "rgba(235,235,235,1)",
"xAxisGridMinorShow": false,
"xAxisGridMinorWidth": 1,
"xAxisTextColor": "rgb(0,0,0)",
"xAxisTextScaleFontFactor": 0.7,
"xAxisTicksColor": "rgb(0,0,0)",
"xAxisTicksLength": 0.75,
"xAxisTitle": "Relative abundance",
"graphType": "Bar"
}
// 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-bar20-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-bar20-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorKey=list(06h="#4292C6", 12h="#F4D03F", 24h="#08519C", Mock="#9ECAE1"),
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labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.2454), list(catX=3.1, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=2.9524), list(catX=4.1, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=0.6945), list(catX=1.3, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=4.0926), list(catX=2.3, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=2.185), list(catX=3.3, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.811), list(catX=4.3, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.2602))),
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("stress"),
guidesColor="rgb(235,235,235)",
layoutAdjust=TRUE,
layoutGlobalGroups=TRUE,
layoutTopology="3X3",
legendColumns=8,
legendHorizontalJustification="None",
legendKeyBackgroundBorderColor="rgb(255,255,255)",
legendKeyBackgroundColor="rgb(255,255,255)",
legendPosition="top",
legendStyleGgplot=TRUE,
legendTextScaleFontFactor=0.7,
metaData=list(gene="True", letter="False", mean="False", se="False", stress="True", time="True"),
objectBorderColor="rgb(0,0,0)",
panelBackgroundBorderColor="rgb(0,0,0)",
panelBackgroundColor="rgb(255,255,255)",
segregateSamplesBy=list("gene"),
showAnimation=FALSE,
smpTextColor="rgb(0,0,0)",
smpTextRotate=90,
smpTextScaleFontFactor=0.7,
smpTitle="",
sortOnGrouping="ascending",
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgb(242,242,242)",
stripTextColor="rgb(0,0,0)",
stripTextFontStyle="bold",
stripTextScaleFontFactor=0.6,
summaryType="sum",
theme="GGPlot",
xAxis=list("Mock", "06h", "12h", "24h"),
xAxisGridMajorColor="rgb(235,235,235)",
xAxisGridMajorShow=FALSE,
xAxisGridMinorColor="rgba(235,235,235,1)",
xAxisGridMinorShow=FALSE,
xAxisGridMinorWidth=1,
xAxisTextColor="rgb(0,0,0)",
xAxisTextScaleFontFactor=0.7,
xAxisTicksColor="rgb(0,0,0)",
xAxisTicksLength=0.75,
xAxisTitle="Relative abundance"
)
