Part III: Data Wrangling
28
Spatial data
Statistical Computing using R and Python
Preface
Part I: Tools
1
Computer Basics
2
Setting Up Your Computer
3
RStudio’s Interface
4
Scripts and Notebooks
5
Version Control with Git
6
Reproducibility and Professional Communication
Part II: General Programming
7
Introduction to Programming
8
Variables and Basic Data Types
9
Using Functions and Libraries
10
Data Structures
11
Matrix Calculations
12
Control Structures
13
Writing Functions
14
Debugging
15
Programming With Data
16
Other Helpful Programming Resources
Part III: Data Wrangling
17
Data Input
18
Data Visualization Basics
19
Exploratory Data Analysis
20
Data Visualization
21
Creating Good Charts
22
Data Cleaning
23
Working with Strings
24
Reshaping Data
25
Joining Data
26
Dates and Times
27
Functional Programming
28
Spatial data
Part IV: Advanced Topics
29
Simulation and Reproducibility
30
Interactive Graphics
31
Other Topics
Table of contents
28.1
References
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Part III: Data Wrangling
28
Spatial data
28
Spatial data
Published
February 18, 2025
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28.1
References
27
Functional Programming
Part IV: Advanced Topics