This visualization compares pronoun frequency distributions between the Brown corpus news category and the entire Reuters corpus using simple text-based star bars. The code loads both corpora via the NLTK `brown` and `reuters` modules, computes `FreqDist` objects for lowercase words, and prints a row per pronoun where each star represents a fixed count (10 for Brown, 200 for Reuters) followed by the raw frequency. The output reveals stark contrasts, such as "it" and "its" dominating Reuters while "he" and "his" are more prominent in Brown news, with zero occurrences of "I" in both datasets.