![]() ![]() Next, we will discuss the t-test which is the statistical hypothesis testing process using R.Apart from the Scatter plot, there are several other functions and plots like histograms, line plots, and boxplots are being used for Bivariate data analysis.This scatter plot represents the graph for bivariate analysis.Plot(sampleData$G~sampleData$W,col='blue') In this example, we are creating a scatter diagram or scatter plot for G and W variable using.Symbol ‘~’ is used for bivariate analysis in R.It helps to identify the correlation and patterns between the two variables.This statistical analysis is a comparison between two variables present in that data set.Next, we will discuss bivariate statistical analysis with R.For example, to view the statistical summary of W variable, we will use.A particular variable can be assessed from the data frame using $ symbol.R data frames are an efficient data store reference,.Next, we will discuss univariate data analysis.The summary of basketball data set shows the Variable G has min value 24.00, Max values 40.00, the median value is 31.00 and the mean value is 31.52. ![]()
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