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Data Visualization

Data Visualization

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In a world increasingly driven by data, knowing how to present it effectively is an essential skill for any professional. Data Visualization: Exploring and Explaining with Data offers a clear and accessible approach to creating impactful visualizations, covering everything from fundamental concepts to advanced techniques that can transform numbers and graphs into powerful insights.



With simple language and practical examples, the book is ideal for undergraduate and postgraduate students in various fields, such as business, science, and medicine. It offers a deep understanding of the main elements in data visualization, such as graphic design, the appropriate choice of colors, and exploratory data analysis, as well as teaching how to present complex information clearly and engagingly.



This book is more than a technical introduction: it is a tool for those who wish to transform data into visual stories that clarify, inform, and influence, contributing to more assertive decision-making and effective communication of ideas and concepts.

Work Details:

  • Author: Jeffrey D. Camm; James J. Cochran; Michael J. Fry; Jeffrey W. Ohlmann
  • Publisher: Bookman - Cengage
  • Number of Pages: 400
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