The Visual Display of Quantitative Information, 2nd Ed.,Used

The Visual Display of Quantitative Information, 2nd Ed.,Used

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SKU: SONG0961392142
UPC: 35222222398.0
Brand: Graphics Press
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The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the highresolution displays, small multiples. Editing and improving graphics. The dataink ratio. Timeseries, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. This edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages does the book have? A: This book has one hundred ninety-seven pages. It provides a comprehensive overview of statistical graphics and data design.
  • Q: What is the binding type of the book? A: The book is bound in hardcover. This durable design ensures longevity and protection for the pages inside.
  • Q: What are the dimensions of the book? A: The book measures eleven inches in length, nine point zero two inches in width, and one inch in height. These dimensions make it a substantial yet manageable read.
  • Q: How do I apply the concepts in this book? A: You can apply the concepts by studying the illustrations and analyzing the principles of data representation. Implementing these techniques will enhance your data visualizations.
  • Q: Is this book suitable for beginners in data visualization? A: Yes, this book is suitable for beginners. It introduces fundamental concepts of statistical graphics and provides clear examples.
  • Q: What is the reading level for this book? A: The reading level is suitable for adults and professionals. It offers in-depth insights that cater to those with a basic understanding of statistics.
  • Q: How should I store this book to keep it in good condition? A: Store the book in a cool, dry place, upright on a shelf. Avoid exposure to direct sunlight to prevent fading of the illustrations.
  • Q: Can I clean the book if it gets dirty? A: Yes, you can gently wipe the cover with a soft, dry cloth. Avoid using water or cleaning solutions to protect the pages.
  • Q: Is this book safe for children? A: No, this book is not specifically designed for children. It contains advanced concepts that are more suitable for adults and professionals.
  • Q: What if the book arrives damaged? A: If the book arrives damaged, you can contact customer support for a return or exchange. Make sure to have your order details ready for assistance.
  • Q: How does this book compare to other data visualization books? A: This book is considered a classic in the field, focusing specifically on statistical graphics. Its detailed analysis sets it apart from many modern alternatives.
  • Q: Is this book suitable for someone in the business field? A: Yes, this book is highly suitable for individuals in the business field. It offers valuable insights into presenting data effectively for decision-making.
  • Q: Are there any illustrations in the book? A: Yes, the book contains two hundred fifty illustrations. These visuals help to clarify concepts and enhance the learning experience.
  • Q: What is the author's background? A: The author, Edward R. Tufte, is a renowned statistician and expert in data visualization. His work has significantly influenced the field.
  • Q: Does this book cover modern data visualization techniques? A: Yes, the second edition includes updates and corrections from the first edition, reflecting advancements in data visualization practices.

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