Page 272 - Data Science class 11
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p <- ggplot(dat, aes(x = setting, y= rating))+ geom_boxplot()
             p
             # Saving the file.
             dev.off()
        Running this code snippet will show the following:

















        The corresponding Box plot is also shown.































        7.10 Maps usIng ggplot2

        Visualizing  data  is  crucial  in  today’s  world.  Without  powerful  visualisations,  it  is  almost  impossible  to  create  and
        narrate data-based stories on humongous data. These stories help us build strategies and make intelligent business
        decisions. Maps are commonly used to visualise certain factors that have been influenced geographically. It is easy
        to plot maps in R.

        7.10.1 plot a geographical Map

        Let’s plot the countries participating in the ICC World T20 World Cup 2016. After I did my research, I found there were
        16 countries participating this year. Let’s see where these countries are located on the world map.

        You’ll use the ggmaps package along with ggplot to create these maps.
        Example
        Enter the following code snippet in the script panel:
             #List of Countries
             > ICC_WC_T20 <- c("Australia",

          270   Touchpad Data Science-XI
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