We will take a look at one interesting visualization using the googleVis
package. First, we need to install the package and load it to the R environment using the following code:
install.packages("googleVis") library(googleVis)
We will now read a dataset that can be visualized using the googleVis
package. From the worlddata
dataset, we will consider the country
and co2_emissions
columns. The following code will read the dataset with all the columns and then select the required columns by specifying their names. We will then remove the rows with the NA values:
data <- read.csv("Data/worlddata.csv") newdata <- data[,c("country","co2_emissions")] newdata <- na.omit(newdata) head(newdata, 10)
The output of the preceding command is as follows:
We have now got the carbon dioxide emissions for all the countries. Let's try to plot this on the world map itself using the gvisGeoChart
function. We need to pass the dataset that has to be plotted, the locationvar...