I have a batch of essays in PDF format and I need a clear, apples-to-apples comparison of their sentence lengths. Your task is to extract the text from each file, determine the length of every sentence, and then show me how the essays stack up against one another. What matters most is the comparative insight: average sentence length, shortest and longest sentences, and any notable patterns that emerge when the papers are placed side by side. A concise write-up or visual (a small chart is fine) that highlights these differences will round out the job. You may work with whatever parsing approach you prefer—Python with PyPDF2, spaCy or NLTK are perfectly acceptable—but the final output should include: • A spreadsheet (or CSV) listing each essay, total sentences, average words per sentence, plus min/max lengths. • A brief narrative or slide summarising the key comparisons so a non-technical reader can grasp the findings at a glance. I will supply the PDFs immediately after we agree to proceed, and I am happy to answer any clarifying questions along the way.