Refs:
library(googleVis)set.seed(2020)
x <- seq(0,100,by=0.5)
y <- (50-x)^2+rnorm(length(x),sd=100)
curvy <- data.frame(x,y)
gvScat <- gvisScatterChart(curvy,
options=list(
explorer="{actions: ['dragToZoom', 'rightClickToReset'], maxZoomIn:0.05}",
gvis.editor="Edit me!",
chartArea="{width:'85%',height:'80%'}",
hAxis="{title: 'Click&drag for zoom region, right-click to reset', titleTextStyle: {color: '#000000'}}",
vAxis="{title: 'Response y', titleTextStyle: {color: '#000000'}}",
backgroundColor="#EEEEEE",
title="Curvilinear Relationship",
titleTextStyle="{color:'red', fontName:'Courier', fontSize:12}",
width=550, height=500,
legend="none"),
chartid="ZoomZoom")
print(gvScat,'chart')df=data.frame(country=c("US", "GB", "BR"),
val1=c(10,13,14),
val2=c(23,12,32))
gvLine <- gvisLineChart(df)
print(gvLine,'chart')gvIntensity <- gvisIntensityMap(df)
print(gvIntensity,'chart')head(Exports)## Country Profit Online
## 1 Germany 3 TRUE
## 2 Brazil 4 FALSE
## 3 United States 5 TRUE
## 4 France 4 TRUE
## 5 Hungary 3 FALSE
## 6 India 2 TRUEGeo=gvisGeoChart(Exports, locationvar="Country",
colorvar="Profit",
options=list(projection="kavrayskiy-vii"))
print(Geo,'chart')Merge charts:
G <- gvisGeoChart(Exports, "Country", "Profit",
options=list(width=300, height=300))
T <- gvisTable(Exports,
options=list(width=220, height=300))
GT <- gvisMerge(G,T, horizontal=TRUE)
print(GT,'chart')|
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head(Stock)## Date Device Value Title Annotation
## 1 2008-01-01 Pencils 3000 <NA> <NA>
## 2 2008-01-02 Pencils 14045 <NA> <NA>
## 3 2008-01-03 Pencils 5502 <NA> <NA>
## 4 2008-01-04 Pencils 75284 <NA> <NA>
## 5 2008-01-05 Pencils 41476 Bought pencils Bought 200k pencils
## 6 2008-01-06 Pencils 333222 <NA> <NA>gvAnno <- gvisAnnotationChart(Stock,
datevar="Date",
numvar="Value",
idvar="Device",
titlevar="Title",
annotationvar="Annotation",
options=list(
width=600, height=350,
fill=10, displayExactValues=TRUE,
colors="['#0000ff','#00ff00']")
)
plot(gvAnno, 'chart')AnnoTimeLine <- gvisAnnotatedTimeLine(Stock,
datevar="Date",
numvar="Value",
idvar="Device",
titlevar="Title",
annotationvar="Annotation",
options=list(displayAnnotations=TRUE,
width="600px", height="350px"))
plot(AnnoTimeLine, 'chart')datSK <- data.frame(From=c(rep("A",3), rep("B", 3)),
To=c(rep(c("X", "Y", "Z"),2)),
Weight=c(5,7,6,2,9,4))
gvSankey <- gvisSankey(datSK, from="From", to="To", weight="Weight",
options=list(
sankey="{link: { color: { fill: '#d799ae' } },
node: { color: { fill: '#a61d4c' },
label: { color: '#871b47' } }}"))
plot(gvSankey, 'chart')In this org chart, double-click to expand/collapse:
head(Regions)## Region Parent Val Fac
## 1 Global <NA> 10 2
## 2 America Global 2 4
## 3 Europe Global 99 11
## 4 Asia Global 10 8
## 5 France Europe 71 2
## 6 Sweden Europe 89 3gvOrg <- gvisOrgChart(Regions,
options=list(width=600, height=250,
size='large', allowCollapse=TRUE))
plot(gvOrg, 'chart')head(Population[,-5])## Rank Country Population % of World Population Mode Date
## 1 1 China 1339940000 19.50 TRUE 2010-10-09
## 2 2 India 1188650000 17.30 TRUE 2010-10-09
## 3 3 United States 310438000 4.52 TRUE 2010-10-09
## 4 4 Indonesia 237556363 3.46 TRUE 2010-10-09
## 5 5 Brazil 193626000 2.82 TRUE 2010-10-09
## 6 6 Pakistan 170745000 2.48 TRUE 2010-10-09PopTable <- gvisTable(Population[,-5],
formats=list(Population="#,###",
'% of World Population'='#.#%'),
options=list(page='enable'))
plot(PopTable, 'chart')head(Andrew)## Date/Time UTC Lat Long Pressure_mb Speed_kt Category
## 1 1992-08-16 18:00:00 10.8 -35.5 1010 25 Tropical Depression
## 2 1992-08-17 00:00:00 11.2 -37.4 1009 30 Tropical Depression
## 3 1992-08-17 06:00:00 11.7 -39.6 1008 30 Tropical Depression
## 4 1992-08-17 12:00:00 12.3 -42.0 1006 35 Tropical Storm
## 5 1992-08-17 18:00:00 13.1 -44.2 1003 35 Tropical Storm
## 6 1992-08-18 00:00:00 13.6 -46.2 1002 40 Tropical Storm
## LatLong Tip
## 1 10.8:-35.5 Tropical Depression<BR>Pressure=1010<BR>Speed=25
## 2 11.2:-37.4 Tropical Depression<BR>Pressure=1009<BR>Speed=30
## 3 11.7:-39.6 Tropical Depression<BR>Pressure=1008<BR>Speed=30
## 4 12.3:-42 Tropical Storm<BR>Pressure=1006<BR>Speed=35
## 5 13.1:-44.2 Tropical Storm<BR>Pressure=1003<BR>Speed=35
## 6 13.6:-46.2 Tropical Storm<BR>Pressure=1002<BR>Speed=40GeoMarker <- gvisGeoChart(Andrew, "LatLong",
sizevar='Speed_kt',
colorvar="Pressure_mb",
options=list(region="US"))
plot(GeoMarker, 'chart')AndrewMap <- gvisMap(Andrew, "LatLong" , "Tip",
options=list(showTip=TRUE,
showLine=TRUE,
enableScrollWheel=TRUE,
mapType='terrain',
useMapTypeControl=TRUE))
plot(AndrewMap, 'chart')These charts require Flash.
head(Fruits)## Fruit Year Location Sales Expenses Profit Date
## 1 Apples 2008 West 98 78 20 2008-12-31
## 2 Apples 2009 West 111 79 32 2009-12-31
## 3 Apples 2010 West 89 76 13 2010-12-31
## 4 Oranges 2008 East 96 81 15 2008-12-31
## 5 Bananas 2008 East 85 76 9 2008-12-31
## 6 Oranges 2009 East 93 80 13 2009-12-31Motion=gvisMotionChart(Fruits,
idvar="Fruit",
timevar="Year")
plot(Motion, 'chart')myStateSettings <-'
{"xZoomedDataMin":1199145600000,"colorOption":"2",
"duration":{"timeUnit":"Y","multiplier":1},"yLambda":1,
"yAxisOption":"4","sizeOption":"_UNISIZE",
"iconKeySettings":[],"xLambda":1,"nonSelectedAlpha":0,
"xZoomedDataMax":1262304000000,"iconType":"LINE",
"dimensions":{"iconDimensions":["dim0"]},
"showTrails":false,"uniColorForNonSelected":false,
"xAxisOption":"_TIME","orderedByX":false,"playDuration":15000,
"xZoomedIn":false,"time":"2010","yZoomedDataMin":0,
"yZoomedIn":false,"orderedByY":false,"yZoomedDataMax":100}
'
M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(state=myStateSettings))
plot(M, 'chart')