21
References
R for Computational Social Science
1
Preface
Data Analysis with Tidyverse
2
Fun with R: A look at the Dutch voter
3
Meet the Tidyverse
4
Data cleaning
5
Transforming data
6
Visualizing data
7
Reshaping data
8
Advanced Visualization
Text and Image Analysis
9
Dealing with Text: stringr (todo)
10
Scraping: rvest (todo)
11
Text as Data: tidytext (todo)
12
Using LLMs: tidyllm (todo)
13
Dealing with Images (todo)
Machine Learning
14
Basics of Machine Learning: tidymodels (todo)
15
Supervised Text Classification: textrecipes (todo)
16
Dimensionality Reduction: Clustering and Embeddings (todo)
17
Neural Networks, Deep Learning, and Transformers: torch (todo)
Programming Concepts
18
Flow Control: if/else, while, for (todo)
19
Data Structures: Lists, JSON, Matrix (todo)
20
From Script to Software (todo)
21
References
21
References
20
From Script to Software (todo)