| Week 1-2 |
Collaborative working environment:
Git, GitHub, and R Markdown |
- Aug 26
- Course intro & syllabus
- Aug 28
- R
Basics | Setting up
R and
Rstudio |
Collaborations -
test case | data: csv, Codebook
- Sep 4
-
Solution to
test case (Rmd file) | RMarkdown
|
| Week 3 - 4 |
Getting to know R |
- Sep 9
-
Solution to test case
(Rmd file) |
git and github
- Sep 11
-
Introduction to R
| code from class
- Sep 16
- graphics in ggplot2 |
code from class
|
| Week 5-6 |
Elements of the data pipeline: Filters, selectors and aggregation |
Sep 23
more graphics | code from class
Sep 25
logical expressions | code from class
Sep 30
filtering, selections and
aggregations | code from class
|
| Weeks 7 |
Elements of the data pipeline: Pulling data, summarising and communicating |
- Oct 07
-
factor variables |
example: happiness |
code from class
- Oct 09
-
factor variables |
example: happiness |
code from class
|
| Weeks 8-9 |
Tidying data |
- Oct 14
- long and wide data | data cleaning | code from class
- Oct 16
- long and wide data | data cleaning | code from class
- Oct 16, Oct 18
- Review Session |
sample exam 1
|
| Week 10 |
Midterm Exam |
|
| Week 11-12 |
Time, Date and Space |
Nov 4
dates and times | code from class
Nov 11
time series | layers in
ggplot2 | code from class
Nov 13
excursion: data joins | maps | code from class
|
Weeks 13 |
Web Scraping |
Nov 18
web scraping |
code from class
Nov 20
CSS and write functions for scraping | code from class
|
| Week 14 |
Polishing plots |
|
| Prep & Finals Week |
Presentations |
|