Introduction to Biomedical Data Science - Chapter 4: Data Visualization

Name: Introduction to Biomedical Data Science - Chapter 4: Data Visualization
SKU: 1jwygpz6
Price: 8.99 USD
Availability: InStock

ByRobert Hoyt Robert Muenchen

This ebook may not meet accessibility standards and may not be fully compatible with assistive technologies.

Introduction to Biomedical Data Science - Chapter 4: Data Visualization explains why visualization is pivotal in data analysis. Early on it is employed in exploratory data analysis and at the end when the results of data analysis are presented. This chapter covers all basic visualizations, using Microsoft Excel, Google Sheets, Tableau and R and is heavily supplemented by YouTube videos. Exercises (Appendix C) and Resources (Chapter 11) are included. Further details are available on informaticseducation.org.

Details

Publication Date: Dec 31, 2019
Language: English
ISBN: 9781794834583
Category: Science & Medicine
Copyright: All Rights Reserved - Standard Copyright License
Contributors: By (author): Robert Hoyt, By (author): Robert Muenchen, By (author): Karen Monsen

Specifications

Format: PDF

Keywords

biomedical data science data science analytics machine learning artificial intelligence database systems data visualization predictive analytics big data bioinformatics biomedical informatics programming languages biostatistics

Report This Content to Lulu

About Robert E Hoyt and David Patrishkoff

Robert (Bob) Hoyt MD FACP has practiced internal medicine for over 35 years both in private practice and the military. He uses his clinical and medical research experience to critically analyze informatics literature. He along with his wife Ann Yoshihashi MD, created the first edition of the textbook in 2007 and the textbook is now in its seventh edition. Since 2018 he has focused on data science education, especially for clinicians. David Patrishkoff MS LSSMBB is the co-editor and co-author of No Code Data Science. He has extensive experience with statistics and data science in multiple industries. Further information about him and the textbook can be found at https://www.nocodedatascience.net Dr. William Hersh (OHSU) is the new co-editor for the seventh edition. Dr. Hersh is Professor and Chair of Medical Informatics and Clinical Epidemiology at OHSU. He has a long history of lecturing and publishing in informatics. He is now the author of multiple chapters in the seventh edition. The link below will take you to his blog Informatics Professor. Dr. Hersh launched the eighth edition of Health Informatics: Practical Guide which is offered also through Lulu. Bob Muenchen MS PSAT is the new Co-Editor of Introduction to Biomedical Data Science. He is an ASA-accredited professional statistician, the author of R for SAS and SPSS Users, and co-author of R for Stata Users. He is also the creator of r4stats.com. See his bio in the below link.

Go to author's page