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Data literacy as a book category covers the knowledge and skills people need to find, interpret, evaluate, and communicate with data across disciplines. These books range from accessible introductions that teach how to read charts, understand basic statistics, and ask the right questions of data, to practical guides on data cleaning, visualization, and using common tools (spreadsheets, SQL, or visualization software), as well as deeper treatments of inference, modeling, and uncertainty. They also address critical skills like spotting misleading or biased analyses, assessing data quality and provenance, and understanding ethical, privacy, and legal implications of data use. Aimed at managers, journalists, students, analysts, and curious professionals, the category emphasizes practical, decision-focused literacy so readers can make evidence-based choices and communicate insights clearly to diverse audiences.

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