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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data+cn+exercise

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ISBN: 1491910399 | 2017 | True PDF  epub mobi azw3 | prerelease 738 pages 522/520 pages  cn374页 | 32 MB Hadley Wickham,

What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the versatile R programming language for data analysis.

Whenever you measure the same thing twice, you get two results—as long as you measure precisely enough. This phenomenon creates uncertainty and opportunity. Author Garrett Grolemund, Master Instructor at RStudio, shows you how data science can help you work with the uncertainty and capture the opportunities. You’ll learn about:

Data Wrangling—how to manipulate datasets to reveal new information
Data Visualization—how to create graphs and other visualizations
Exploratory Data Analysis—how to find evidence of relationships in your measurements
Modelling—how to derive insights and predictions from your data
Inference—how to avoid being fooled by data analyses that cannot provide foolproof results
Through the course of the book, you’ll also learn about the statistical worldview, a way of seeing the world that permits understanding in the face of uncertainty, and simplicity in the face of complexity.

 

本资源包括: release 版本 PDF  epub mobi azw3 + true pdf 版本 + 中文版 + 课后练习  

本书练习:https://github.com/jrnold/r4ds-exercise-solutions

https://jrnold.github.io/r4ds-exercise-solutions/

https://r4ds.had.co.nz/

 

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