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Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
ZAR 1280
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Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences.
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What Stands Out
Product Details
- Learn how to choose the best visualization type for the intended story
- Understand the importance of color usage and redundant coding for effective visualization
- Access a visualizations directory offering a graphical guide to commonly used data visualization types
- Study numerous examples of both good and bad figures for practical learning
- Gain insight into utilizing figures in documents or reports to effectively convey a compelling narrative
- Published by O'Reilly, a brand dedicated to sharing the knowledge of experts in databases, data science, and more
| Publisher | O'Reilly Media |
| Publication date | May 14, 2019 |
| Edition | 1st |
| Language | English |
| Print length | 387 pages |
| ISBN-10 | 1492031089 |
| ISBN-13 | 978-1492031086 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 1 x 9 inches (17.8 x 2.5 x 22.9 cm) |
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Who Should Buy?
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Data Analysts
Ideal for data analysts who need to convey data insights visually and effectively to stakeholders.
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Students
Great for students studying data science or related fields, providing foundational knowledge on visualization techniques.
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Business Professionals
Beneficial for professionals looking to enhance presentations with clear, impactful visual data representations.
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Advanced Experts
Not suitable for seasoned data visualization experts seeking advanced techniques beyond fundamental concepts.
Product Description
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
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Computers & Technology Editorial Review
"Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures" is a highly recommended book for anyone involved in data analysis and visualization. It provides a concise and informative overview of graphical fundamentals and techniques, explaining how to create effective visualizations and use them to tell a story using data. The book is well-organized and easy to follow, with numerous useful examples that illustrate the appropriate use of figures in different situations. The author's explanations are clear, and the layout of the book is simple and straightforward. Readers have praised the book as a valuable reference that should be on the shelf of every analyst or data scientist who regularly creates visualizations. Many have found it to be a great resource for understanding and avoiding common pitfalls in information visualization. It is also recommended for using as a teaching tool, as it can be easily read and understood by students and research assistants. The book covers a broad range of topics, including elementary statistics, PCA, and map projections. Some readers have expressed a desire for more in-depth coverage of human perception and empirical studies on visualization design, but overall, the content is Considered solid and practical. Moreover, the book includes online access to code for all the figures, making it a valuable resource for R users who want to further enhance their visualization skills. In conclusion, "Fundamentals of Data Visualization" is a must-have resource for anyone who wants to enhance their skills in creating informative and compelling visualizations. It provides practical insights and guidelines that will help readers improve their ability to present data in an attractive and meaningful way.
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Pros
- Concise and informative overview of graphical fundamentals and techniques
- Clear explanations and easy-to-follow layout
- Numerous useful examples provided
- Valuable reference for analysts and data scientists
- Includes online access to code for all figures
Cons
- Some readers desired more in-depth coverage of human perception and empirical studies on visualization design
Product Price History
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Features & Benefits
- Effective visualization is crucial for communicating information from large and complex datasets.
- Guidelines provided to turn large datasets into clear and compelling figures.
- Learn the best visualization types for the story you want to tell.
- Understand the importance of color and redundant coding in data visualization.
- Get examples of good and bad figures.
- Learn how to use figures effectively in a document or report to tell a compelling story.
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