Objective:
● To conduct general explanatory data analysis of the game Wordle using Jupyter Notebook and Python.
● To develop natural language processing programs to assess and analyze letter and parts of speech data.
● To identify the optimal starting word for playing Wordle based on the analysis.

Outcomes:
● Successfully conducted an explanatory data analysis of the game Wordle through Jupyter Notebook using Python, gaining insights into the game's patterns and trends.
● Coded natural language processing program that effectively assessed and analyzed letter frequencies and parts of speech within Wordle words.
● Used the analysis results to determine the best starting word for playing Wordle, enhancing gameplay strategy.

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