Page 274 - Data Science class 11
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Example
        Enter the following code snippet in the script panel:

             #using ggmaps extract world map

             > world_map <- qmap("World", zoom = 2)
             #see how map looks
             > world_map
             #plot the data on map
             > world_map + geom_point(aes(x=nation.x, y=nation.y),
                            data = countries, alpha = 0.5,

             size = 3, color = "red")

































                                             World map plot using ggplot in R
        This looks better. The ggmap() package is linked with Google Maps and hence extracts location details directly.


        7.11 statIstIcal analysIs In r

        Statistical methods involved in carrying out a study include planning, designing, collecting data, analysing, drawing
        meaningful  interpretations,  and  reporting  the  research  findings.  The  statistical  analysis  gives  meaning  to  the
        meaningless numbers, thereby breathing life into lifeless data.

        Statistical analysis in R is performed by using many in-built functions. Most of these functions are part of the R base
        package.  These functions take the R vector as an input along with the arguments and gives the result.
        The phrases mean, mode, and median are the most commonly used basic statistics terminology. All of them are
        referred to as "Measures of Central Tendency." The normal distribution, sometimes known as a bell curve, is the most
        prevalent distribution in statistical study.







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