Greetings!!

can anyone tell me how to understand the contents of boxplot. what does it indicate

From help(boxplot.stats):

    The two ‘hinges’ are versions of the first and third quartile,
     i.e., close to ‘quantile(x, c(1,3)/4)’.  The hinges equal the
     quartiles for odd n (where ‘n <- length(x)’) and differ for even
     n.  Whereas the quartiles only equal observations for ‘n %% 4 ==
     1’ (n = 1 mod 4), the hinges do so _additionally_ for ‘n %% 4 ==
     2’ (n = 2 mod 4), and are in the middle of two observations
     otherwise.

     The notches (if requested) extend to ‘+/-1.58 IQR/sqrt(n)’.  This
     seems to be based on the same calculations as the formula with
     1.57 in Chambers _et al_ (1983, p. 62), given in McGill _et al_
     (1978, p. 16).  They are based on asymptotic normality of the
     median and roughly equal sample sizes for the two medians being
     compared, and are said to be rather insensitive to the underlying
     distributions of the samples.  The idea appears to be to give
     roughly a 95% confidence interval for the difference in two
     medians.