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The Statistics and Machine Learning with R Workshop

You're reading from  The Statistics and Machine Learning with R Workshop

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781803240305
Pages 516 pages
Edition 1st Edition
Languages
Author (1):
Liu Peng Liu Peng
Profile icon Liu Peng

Table of Contents (20) Chapters

Preface 1. Part 1:Statistics Essentials
2. Chapter 1: Getting Started with R 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...
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