**Data Analysis and Visualization in R**, and kindly contributed to R-bloggers)

One of our graduate student ask me on how he can check for correlated variables on his dataset. Using R, his problem can be done is three (3) ways. First, he can use the *cor *function of the *stat *package to calculate correlation coefficient between variables. Second, he can use functions such as *pairs* *(graphics)* to visually check possible correlated variables. Third, he can combine the first two approach following the example of vinux in stackoverflow* *or using* ggpairs *function of *GGally *package.

*First Approach*

Sepal.Length Sepal.Width Petal.Length Petal.Width

Sepal.Length 1.0000000 -0.1175698 0.8717538 0.8179411

Sepal.Width -0.1175698 1.0000000 -0.4284401 -0.3661259

Petal.Length 0.8717538 -0.4284401 1.0000000 0.9628654

Petal.Width 0.8179411 -0.3661259 0.9628654 1.0000000

*Second Approach*

*Third Approach*

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