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Data journalism as a book category covers the practice of finding, cleaning, analyzing, visualizing and reporting stories rooted in data. Titles range from practical how‑to guides on coding, scraping, databases, statistics and interactive visualization to case studies of investigative projects, discussions of ethics, verification and transparency, and histories of the field. Books in this category teach journalists, students and researchers how to turn messy datasets into clear narratives and compelling graphics, establish reproducible workflows and collaborate across disciplines (design, data science, policy) to produce accountable, evidence‑based reporting.

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