R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
RM373.28 RM415.22
By Wickham Hadley, Çetinkaya-Rundel Mine, Grolemund Garrett
Paperback – English
ISBN: 1492097403
EAN: 9781492097402
Publisher: OREILLY MEDIA
Publication Date: 18/07/2023
Pages: 576
Dimension: 23.34cm x 17.78cm x 2.97cm
Age Group: NA to NA
Grades: Not Applicable to Not Applicable
Lexile Level: 0
Award: –
About Author: Grolemund Garrett
Garrett Grolemund is a statistician, teacher and R developer who currently works for RStudio. He sees data analysis as a largely untapped fountain of value for both industry and science. Garrett received his Ph.D at Rice University in Hadley Wickham’s lab, where his research traced the origins of data analysis as a cognitive process and identified how attentional and epistemological concerns guide every data analysis. Garrett is passionate about helping people avoid the frustration and unnecessary learning he went through while mastering data analysis. Even before he finished his dissertation,
Categories:
Computers – Data Science – Data Modeling & Design
Computers – Mathematical & Statistical Software
Computers – Probability & Statistics – General
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Description
By Wickham Hadley, Çetinkaya-Rundel Mine, Grolemund Garrett
Paperback – English
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.
You’ll learn how to import, transform, and visualize your data and communicate the results. And you’ll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you’ve learned along the way.
You’ll understand how to:
– Visualize: Create plots for data exploration and communication of results
– Transform: Discover variable types and the tools to work with them
– Import: Get data into R and in a form convenient for analysis
– Program: Learn R tools for solving data problems with greater clarity and ease
– Communicate: Integrate prose, code, and results with Quarto
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