gvisBarChart: Google Bar Chart with R \Sexpr{googleChartName <- "barchart"}...

In mages/googleVis: R Interface to Google Charts

Google Bar Chart with R \Sexpr{googleChartName <- "barchart"} \Sexpr{gvisChartName <- "gvisBarChart"}

Description

The gvisBarChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML.

Usage

gvisBarChart(data, xvar = "", yvar = "", options = list(), chartid)

Arguments

data	a data.frame to be displayed as a bar chart
xvar	name of the character column which contains the category labels for the x-axes.
yvar	a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate bar/column.
options	list of configuration options, see: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}
chartid	character. If missing (default) a random chart id will be generated based on chart type and tempfile

Value

\Sexpr[results=rd]{paste(gvisChartName)}

returns list of class \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))}

Author(s)

Markus Gesmann [e-mail],

Diego de Castillo [e-mail]

References

Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))}

See Also

See also print.gvis, plot.gvis for printing and plotting methods

Examples

## Please note that by default the googleVis plot command
## will open a browser window and requires an internet
## connection to display the visualisation.

df <- data.frame(country=c("US", "GB", "BR"), 
                           val1=c(1,3,4), 
                           val2=c(23,12,32))

## Bar chart
Bar1 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"))
plot(Bar1)

## Stacked bar chart
Bar2 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"),
     options=list(isStacked=TRUE))
plot(Bar2)


## Add a customised title and change width of bars
Bar3 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"),
             options=list(title="Hello World",
                          titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}",
                          bar="{groupWidth:'100%'}"))
plot(Bar3)

## Not run: 
## Change x-axis to percentages
Bar4 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"),
                       options=list(hAxis="{format:'#,###%'}"))
plot(Bar4)

## The following example reads data from a Wikipedia table and displays
## the information in a bar chart.
## We use the readHMLTable function of the XML package to get the data
library(XML)
## Get the data of the biggest ISO container companies from Wikipedia
##(table 3):
df=readHTMLTable(readLines("https://en.wikipedia.org/wiki/Intermodal_freight_transport"))[[3]][,1:2]
## Rename the second column
names(df)[2]="TEU capacity"
## The numbers are displayed with commas to separate thousands, so let's
## get rid of them:
df[,2]=as.numeric(gsub(",", "", as.character(df[,2])))

## Finally we can create a nice bar chart:
Bar5 <- gvisBarChart(df, options=list(
                    chartArea="{left:250,top:50,width:\"50%\",height:\"75%\"}",
                    legend="bottom", 
                    title="Top 20 container shipping companies in order of TEU capacity"))

plot(Bar5)


## End(Not run)

mages/googleVis documentation built on March 5, 2023, 6:16 a.m.