This visualization example uses the Natural Language Toolkit’s `pos_tag` and `str2tuple` functions to map part-of-speech tags from the Penn Treebank to plain-English definitions. The `clarify_pos` function accepts a tag string and returns a human-readable description, such as “conjunction, coordinating” for “CC” or “determiner” for “DT.” The code is designed to apply directly to pandas DataFrames via a `.apply()` call, creating a new column that translates each tag for easier analysis. The mapping covers common tags including nouns, verbs, adjectives, adverbs, pronouns, and prepositions.