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Can I read Making Sense of Data II : A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications on EtoBox?
Making Sense of Data II : A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications by Glenn J. Myatt, Wayne P. Johnson is a nonfiction available to read on EtoBox.
What is Making Sense of Data II : A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications about?
A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences. Following a comprehensive introduction that details how to define a problem, perform an analysis, and deploy the results, Making Sense of Data II addresses the following key techniques for advanced data analysis: Data Visualization reviews principles and methods for understanding and communicating data through the use of visualization including single variables, the relationship between two or more variables, groupings in data, and dynamic approaches to interacting with data through graphical user interfaces. Clustering outlines common approaches to clustering data sets and provides de
Who reads Making Sense of Data II : A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Glenn J. Myatt, Wayne P. Johnson
- Publisher
- J. Wiley & Sons; John Wiley & Sons
- Published
- 2008
- Language
- EN
- ISBN
- 9780470222805
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Science
Other editions & translations
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