Data Table
Home
1
Preface
2
Introduction
3
Installation
4
Getting Started
5
IDEs
6
R packages
7
Basic operations
8
Data Types & Vectors
9
Data Structures
10
Indexing
11
Factors
Data Input/Output
12
Base Data I/O
13
Read and Write Excel Data
14
data.table Data I/O
15
readr Data I/O
16
vroom Data I/O
17
Vectorized Operations
18
Control Flow
19
Summarizing Data
20
Aggregate
Functions
21
Writing Functions
22
Function Scoping
23
Pipes
24
The Apply Family
Data Frames
25
data.frame basics
26
Reshaping
27
Joins
28
Data Transformations
29
Strings
30
Date and Time
31
Set Operations
32
Classes and OOP
Data Table
33
Introduction
34
data.table basics
35
Reference Semantics
36
Reshaping
37
Joins
38
Advanced Usage
Tidyverse
39
dplyr basics
40
Reshaping (
tidyr
)
41
Joins
42
Dates with
lubridate
duckplyr
43
duckplyr basics
44
Reshaping (
tidyr
)
45
Joins
Polars
46
Polars basics
47
Reshaping
48
Joins
Graphics
49
Base Graphics
50
Colors
51
Introduction to
ggplot2
52
Introduction to
plotly
53
Common Statistical Tests
54
Introduction to the GLM
55
Benchmarking & Profiling
56
Optimization
57
Quarto
System
58
Introduction to the System Shell
59
Git & GitHub: The Basics
Advanced R
60
Data Queries across implementations
61
DuckDB
62
Resources
63
Data Pipeline Overview
Crash Course
References
Data Table
Contents:
data.table Introduction
data.table Basics
Reference Semantics
Reshaping
Joins
Advanced data.table examples
© 2025 E.D. Gennatas
32
Classes and OOP
33
Introduction
