Exploring Data Science with R and the Tidyverse: A Concise Introduction
Autor Jerry Bonnell, Mitsunori Ogiharaen Limba Engleză Paperback – 14 aug 2023
Upon completion of the text, the reader will be able to:
- Gain proficiency in R programming
- Load and manipulate data frames, and "tidy" them using tidyverse tools
- Conduct statistical analyses and draw meaningful inferences from them
- Perform modeling from numerical and textual data
- Generate data visualizations (numerical and spatial) using ggplot2 and understand what is being represented
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Specificații
ISBN-13: 9781032341705
ISBN-10: 103234170X
Pagini: 492
Ilustrații: 1 Tables, color; 8 Tables, black and white; 158 Line drawings, color; 42 Line drawings, black and white; 158 Illustrations, color; 42 Illustrations, black and white
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.91 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 103234170X
Pagini: 492
Ilustrații: 1 Tables, color; 8 Tables, black and white; 158 Line drawings, color; 42 Line drawings, black and white; 158 Illustrations, color; 42 Illustrations, black and white
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.91 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
Postgraduate, Professional, and Undergraduate AdvancedCuprins
1. Data Types 2. Data Transformation 3. Data Visualization 4. Building Simulations 5. Sampling 6. Hypothesis Testing 7. Quantifying Uncertainty 8. Towards Normality 9. Regression 10. Text Analysis
Notă biografică
Jerry Bonnell is a Ph.D. candidate in Computer Science at the University of Miami, and a University of Miami Fellow. His research areas include Machine Learning and Natural Language Processing. His research targets domain experts in Digital Humanities (DH) and is shown in publications in Digital Scholarship in the Humanities, Digital Humanities Quarterly, and the ACL Special Interest Group on Language Technologies for the Socio-Economic Sciences and Humanities (LaTeCH-CLfL). He also teaches the undergraduate-level course "Data Science for the World" at the University of Miami.
Mitsunori Ogihara is a Professor of Computer Science at the University of Miami, Coral Gables, Florida, USA, and is the Director of its Master of Science in Data Science program. He received his Ph.D. in Information Sciences from Tokyo Institute of Technology, Tokyo, Japan. He is an author/co-author/co-editor of four books and has published more than 200 peer-reviewed journals and conference papers. He serves on the editorial board for a few academic journals, including Theory of Computing Systems, Springer, for which he is the Editor-in-Chief.
Mitsunori Ogihara is a Professor of Computer Science at the University of Miami, Coral Gables, Florida, USA, and is the Director of its Master of Science in Data Science program. He received his Ph.D. in Information Sciences from Tokyo Institute of Technology, Tokyo, Japan. He is an author/co-author/co-editor of four books and has published more than 200 peer-reviewed journals and conference papers. He serves on the editorial board for a few academic journals, including Theory of Computing Systems, Springer, for which he is the Editor-in-Chief.
Descriere
This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows.