In this article, using Python and NumPy, we will evaluate the advantages and disadvantages of two types of plots, namely the box plot and the boxen plot, generated through the seaborn library. To provide a better understanding, we will compare the visual outputs of these plots using both normal and log-normal distributions, and also examine the impact of sample size on the plots. By the end of the article, readers will have gained a comprehensive knowledge of the different features of box plots and boxen plots, and how to effectively use them in data analysis.
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