Technical Foundations of Informatics
About the Book
- 0.1 Acknowledgements
I Computer and file system
1 Setting up your computer
2 Find your files
3 Markdown and rmarkdown
II R basics
4 Introduction to R
5 Re-using your code: loops and functions
- 5.1 For-loops: repeating code
  - 5.1.1 Repeating commands
6 Vectors
7 Working with strings
8 Lists
9 How to write code: Some general programming skills
10 Conditional statements
III Working with data
11 How R reads files
12 Data Frames
13 dplyr: Messing with Data the Easy Way
14 More about data manipulations: merging, reshaping and cleaning data
15 Data analysis: putting all these skills into use
- 15.1 Graphical analysis
  - 15.1.1 Titanic fare by passenger class
IV Machine learning and AI
16 Introduction to machine learning
17 Ollama: R and AI
V Advanced R
18 R Language Control Structures
19 Data structures
Special Topics
A Plotly
B Command line
C Git and GitHub
D Git Collaboration
E The shiny Framework
F Thinking Big: Data Tables
G Using Remote Server
H Accessing Web APIs
Appendices
I Dataset Description
J Rstudio cheatsheet
- J.1 Keyboard shortcuts
- Resources
K Exercise solutions
Published with bookdown

Technical Foundations of Informatics

Appendices