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Visualizing Data,Used
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Visualizing Data is about visualizationtools that provide deep insight into thestructure of data. There are graphicaltools such as coplots, multiway dot plots,and the equal count algorithm. There arefitting tools such as loess and bisquarethat fit equations, nonparametric curves,and nonparametric surfaces to data.But the book is much more than just acompendium of useful tools. It conveys astrategy for data analysis that stressesthe use of visualization to thoroughlystudy the structure of data and to checkthe validity of statistical models fittedto data. The result of the tools and thestrategy is a vast increase in what you canlearn from your data. The book demonstratesthis by reanalyzing many data sets from thescientific literature, revealing missedeffects and inappropriate models fittedto data.
⚠️ 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: What is the main focus of 'Visualizing Data'? A: 'Visualizing Data' emphasizes the use of visualization tools to gain deep insights into data structure and to validate statistical models.
- Q: Who is the author of 'Visualizing Data'? A: The author of 'Visualizing Data' is William S. Cleveland.
- Q: How many pages does 'Visualizing Data' have? A: 'Visualizing Data' contains 360 pages.
- Q: What kind of binding does 'Visualizing Data' have? A: 'Visualizing Data' is available in hardcover binding.
- Q: When was 'Visualizing Data' published? A: 'Visualizing Data' was published on January 1, 1993.
- Q: What category does 'Visualizing Data' fall under? A: 'Visualizing Data' is categorized under Data Modeling & Design.
- Q: What are some features of 'Visualizing Data'? A: One notable feature of 'Visualizing Data' is its very nice appearance.
- Q: Is 'Visualizing Data' suitable for beginners? A: 'Visualizing Data' provides a solid strategy for data analysis, making it accessible for both beginners and experienced data analysts.
- Q: Does 'Visualizing Data' include practical examples? A: Yes, 'Visualizing Data' demonstrates its concepts by reanalyzing various data sets from scientific literature.
- Q: What is the edition of 'Visualizing Data'? A: 'Visualizing Data' is in its first edition.