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 without needing to reference extensive amounts of
external resources for onboarding. The contents are targeted for
undergraduate students but are equally applicable to students at
the graduate level and beyond. The book develops concepts using
many real-world examples to motivate the reader. 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 An accompanying R
package "edsdata" contains synthetic and real datasets used by the
textbook and is meant to be used for further practice. An exercise
set is made available and designed for compatibility with automated
grading tools for instructor use.
General
Imprint: |
Taylor & Francis
|
Country of origin: |
United Kingdom |
Release date: |
July 2023 |
First published: |
2024 |
Authors: |
Jerry Bonnell
• Mitsunori Ogihara
|
Dimensions: |
254 x 178mm (L x W) |
Pages: |
476 |
ISBN-13: |
978-1-03-232950-5 |
Categories: |
Books
|
LSN: |
1-03-232950-5 |
Barcode: |
9781032329505 |
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