Tuesday, January 30, 2018
Thursday, January 18, 2018
Wednesday, January 17, 2018
Charts using GoogleVis
usePackage <- function(p) {
if (!is.element(p, installed.packages()[,1]))
install.packages(p, dep = TRUE)
require(p, character.only = TRUE)
}
usePackage("googleVis")
require(xlsx)
StateMilk <- read.xlsx(file = "my chart.xlsx", sheetIndex = 1)
View(StateMilk)
StateMilkTotal <- StateMilk[, c("State.UT.s","Total")]
StateName <- StateMilk[, "State.UT.s"]
head(StateName)
head(StateMilkTotal)
GeoStates <- gvisGeoChart(StateMilk, "State.UT.s", "Total", options=list(region="IN", displayMode="markers", resolution="provinces", width=1200, height=800))
plot(GeoStates)
GeoStates2 <- gvisGeoChart(StateMilk, "State.UT.s", "Total", options=list(region="IN", displayMode="regions", resolution="provinces", width=600, height=400))
plot(GeoStates2)
print(GeoStates2)
if (!is.element(p, installed.packages()[,1]))
install.packages(p, dep = TRUE)
require(p, character.only = TRUE)
}
usePackage("googleVis")
require(xlsx)
StateMilk <- read.xlsx(file = "my chart.xlsx", sheetIndex = 1)
View(StateMilk)
StateMilkTotal <- StateMilk[, c("State.UT.s","Total")]
StateName <- StateMilk[, "State.UT.s"]
head(StateName)
head(StateMilkTotal)
GeoStates <- gvisGeoChart(StateMilk, "State.UT.s", "Total", options=list(region="IN", displayMode="markers", resolution="provinces", width=1200, height=800))
plot(GeoStates)
GeoStates2 <- gvisGeoChart(StateMilk, "State.UT.s", "Total", options=list(region="IN", displayMode="regions", resolution="provinces", width=600, height=400))
plot(GeoStates2)
print(GeoStates2)
Tuesday, January 16, 2018
Data Visualization - Basic google charts - I
chart1
Thursday, January 4, 2018
Data Visualization using R - Session - 2
This is the basic data visualization using R post. We will move to advance visualization in next post.
Please click on below link.
Data Visualization using R
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