Exploring Data Science with R and the Tidyverse A Concise Introduction, 1st Eidition
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Discover Financial institution For Discovering Data Science with R and the Tidyverse An Abbreviated Intro, 1st Version
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ISBN-10103234170X
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ISBN-13978-1032341705
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Thise-idition introduces readers to data science with R using the tidyverse. No prior knowledge in college-level programming or mathematics (e.g., calculus or statistics) is necessary. The content is self-contained, allowing readers to immediately begin developing data science workflows without reference to extensive external sources for orientation. The material is aimed at undergraduate students but is also relevant to those at the graduate level and beyond. Real-world examples are used to illustrate concepts throughout the book, inspiring readers.
Upon finishing the text, readers will be able to:
- Attain proficiency in R programming
- Load and manipulate data frames, and “tidy” them using devices from the tidyverse
- Conduct statistical analyses and make significant inferences from them
- Model data from numerical and textual sources
- Create data visualizations (numerical and spatial) using ggplot2 and comprehend the represented information
An accompanying R package, “edsdata,” contains artificial and real datasets used in the textbook and is designed for additional practice. An exercise set is provided and is designed to be compatible with automated grading systems for instructor use.
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