Robert Hoyt, Robert Muenchen

Data Preparation and Exploration (eBook, ePUB)

Applied to Healthcare Data

• Format: ePub

Produktbeschreibung

Data scientists spend more than two-thirds of their time cleaning, preparing, exploring, and visualizing data before it is ready for modeling and mining. This textbook covers the important steps of data preparation and exploration that anyone who deals with data should know. The data preparation and exploration methods we include are spreadsheet and statistics package approaches, as well as the programming languages R and Python. The reader is introduced to the free stat packages Jamovi and BlueSky Statistics. Multiple techniques for data visualization are presented. Medical datasets are used for demonstrations and student exercises. Importantly, chapter content is supplemented with YouTube videos. Chapters are well referenced and there is a chapter on health data resources so the reader can find data to prepare and explore on their own. This textbook is an excellent companion text for our other textbook Introduction to Biomedical Data Science. Prominent issues such as how to handle missing data and imbalanced datasets are covered along with sections on descriptive statistics, visualization, correlations, handling duplicates and outliers, scaling, standardization, and much more. Chapters are as follows: * The importance of Data Preparation and Exploration * Data preparation * Data exploration * Automated data preparation and exploration * Healthcare data resources

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Produktdetails

• Verlag: Informatics Education
• Erscheinungstermin: 27. November 2020
• Englisch
• ISBN-13: 9780988752962
• Artikelnr.: 62246536

Autorenporträt

Robert Hoyt is an internal medicine physician who has been involved in health informatics and data science over the past two decades. His textbook Health Informatics: Practical Guide is in its seventh edition. He is a reviewer for multiple medical journals and lectures frequently on machine learning and artificial intelligence. Along with Robert Muenchen and other authors, Introduction to Biomedical Data Science was launched in 2019. Robert Muenchen is an expert biostatistician who has also published extensively on R programming, particularly in the healthcare space. He has been on the faculty at the University of Tennessee for many years. He is a leading author and co-editor of Introduction to Biomedical Data Science