Adjusting Data Science Reports for Collaboration
After working on data science projects, I have noticed that many teams distribute their summary analyses, model explanations, and metric reports strictly in PDF format.
That becomes a challenge when several people need to refine the text, adjust tables, or update interpretations as new data come in.
Editing directly in a PDF seldom goes smoothly, especially when charts or multi-column layouts are part of it.
To facilitate collaboration, I have sometimes converted those reports through a simple free PDF to Word converter, so the content can be revised in a more flexible editor before finalizing the next version.
How do other people handle iterative updates to data science documentation? Do you keep PDFs, editing-converted copies, or version-controlled source reports in Markdown or Jupyter Notebooks?
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