PART B: R Basics
Introduction to Data Science with
Home
PART A: About R and DataScience
1
DataScience & Software
2
Workflow
PART B: R Basics
3
Data 1
4
Data 2
5
Datavisualization
PART C: Essentials
6
Univariate Exploratory analysis
7
Bivariate Exploratory analysis
8
Statistical inference
PART D: Advanced
9
Linear Regression
10
Logistic Regression
11
Spatial 1
12
Spatial 2
Appendices
A
Readings
Table of contents
Chapters
Report an issue
PART B: R Basics
This second part will teach you…
Chapters
Data 1
dplyr
for tidying data: Renaming, aggregating…
François Briatte
(small modifs by Kim Antunez & ChatGPT)
Feb 13, 2024
Data 2
More on
dplyr
for tidying data: aggregating, merging…
François Briatte
(small modifs by Kim Antunez & ChatGPT)
Feb 27, 2024
Datavisualization
Exploration of data visualization’s significance, featuring examples, and introducing
ggplot2
François Briatte
(small modifs by Kim Antunez & ChatGPT)
Mar 5, 2024
No matching items
2
Workflow
3
Data 1