Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The Statistics and Machine Learning with R Workshop

You're reading from   The Statistics and Machine Learning with R Workshop Unlock the power of efficient data science modeling with this hands-on guide

Arrow left icon
Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803240305
Length 516 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Liu Peng Liu Peng
Author Profile Icon Liu Peng
Liu Peng
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1:Statistics Essentials
2. Chapter 1: Getting Started with R FREE CHAPTER 3. Chapter 2: Data Processing with dplyr 4. Chapter 3: Intermediate Data Processing 5. Chapter 4: Data Visualization with ggplot2 6. Chapter 5: Exploratory Data Analysis 7. Chapter 6: Effective Reporting with R Markdown 8. Part 2:Fundamentals of Linear Algebra and Calculus in R
9. Chapter 7: Linear Algebra in R 10. Chapter 8: Intermediate Linear Algebra in R 11. Chapter 9: Calculus in R 12. Part 3:Fundamentals of Mathematical Statistics in R
13. Chapter 10: Probability Basics 14. Chapter 11: Statistical Estimation 15. Chapter 12: Linear Regression in R 16. Chapter 13: Logistic Regression in R 17. Chapter 14: Bayesian Statistics 18. Index 19. Other Books You May Enjoy

Case study – working with the Stack Overflow dataset

This section will cover an exercise to help you practice different data transformation, aggregation, and merging techniques based on the public Stack Overflow dataset, which contains a set of tables related to technical questions and answers posted on the Stack Overflow platform. The supporting raw data has been uploaded to the accompanying Github repository of this book. We will directly download it from the source GitHub link using the readr package, another tidyverse offering that provides an easy, fast, and friendly way to read a wide range of data sources, including those from the web.

Exercise 2.11 – working with the Stack Overflow dataset

Let’s begin this exercise:

  1. Download three data sources on questions, tags, and their mapping table from GitHub:
    library(readr)
    df_questions = read_csv("https://raw.githubusercontent.com/PacktPublishing/The-Statistics-and-Machine-Learning-with-R-Workshop...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime