Code Chunks
This lesson is called Code Chunks, part of the R in 3 Months (Spring 2025) course. This lesson is called Code Chunks, part of the R in 3 Months (Spring 2025) course.
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Learn More
To learn about the various options for code chunks, check out the Quarto website.
Have any questions? Put them below and we will help you out!
Course Content
127 Lessons
1
Welcome to Getting Started with R
00:57
2
Install R
02:05
3
Install RStudio
02:14
4
Files in R
04:33
5
Projects
07:54
6
Packages
02:38
7
Import Data
05:24
8
Objects and Functions
03:16
9
Examine our Data
12:50
10
Import Our Data Again
07:11
11
Getting Help
07:46
12
Week 1 Live Session (Spring 2025)
1:03:11
1
Welcome to Fundamentals of R
01:36
2
Update Everything
02:45
3
Start a New Project
02:16
4
The Tidyverse
03:34
5
Pipes
04:15
6
select()
07:25
7
mutate()
04:25
8
filter()
10:05
9
summarize()
05:59
10
group_by() and summarize()
05:54
11
arrange()
02:07
12
Create a New Data Frame
03:58
13
Bring it All Together (Data Wrangling)
07:29
14
Week 2 Project Assignment
09:39
15
Week 2 Coworking Session (Spring 2025)
16
Week 2 Live Session (Spring 2025)
1:03:24
1
The Grammar of Graphics
04:39
2
Scatterplots
03:46
3
Histograms
05:47
4
Bar Charts
06:37
5
Setting color and fill Aesthetic Properties
02:39
6
Setting color and fill Scales
05:40
7
Setting x and y Scales
03:09
8
Adding Text to Plots
07:32
9
Plot Labels
03:57
10
Themes
02:19
11
Facets
03:12
12
Save Plots
02:57
13
Bring it All Together (Data Visualization)
06:42
14
Week 3 Project Assignment
03:30
15
Week 3 Coworking Session (Spring 2025)
16
Week 3 Live Session (Spring 2025)
1:02:31
1
Downloading and Importing Data
10:32
2
Overview of Tidy Data
05:50
3
Tidy Data Rule #1: Every Column is a Variable
07:43
4
Tidy Data Rule #3: Every Cell is a Single Value
10:04
5
Tidy Data Rule #2: Every Row is an Observation
04:42
6
Week 6 Coworking Session (Spring 2025)
7
Week 6 Live Session (Spring 2025)
1:02:38
1
Best Practices in Data Visualization
03:44
2
Tidy Data
02:25
3
Pipe Data into ggplot
09:54
4
Reorder Plots to Highlight Findings
03:37
5
Line Charts
04:17
6
Use Color to Highlight Findings
09:16
7
Declutter
08:29
8
Add Descriptive Labels to Your Plots
09:10
9
Use Titles to Highlight Findings
08:14
10
Use Annotations to Explain
07:09
11
Week 9 Coworking Session (Spring 2025)
12
Week 9 Live Session (Spring 2025)
59:09
1
Advanced Markdown
06:43
2
Tables
18:36
3
Advanced YAML and Code Chunk Options
05:53
4
Inline R Code
04:42
5
Making Your Reports Shine: Word Edition
04:30
6
Making Your Reports Shine: PDF Edition
06:11
7
Making Your Reports Shine: HTML Edition
06:06
8
Presentations
10:12
9
Dashboards
05:38
10
Websites
06:43
11
Publishing Your Work
04:38
12
Quarto Extensions
05:50
13
Parameterized Reporting, Part 1
10:57
14
Parameterized Reporting, Part 2
05:11
15
Parameterized Reporting, Part 3
07:47
16
Week 12 Coworking Session (Spring 2025)
17
Week 12 Live Session (Spring 2025)
57:01
You need to be signed-in to comment on this post. Login.
Maria Athayde • October 8, 2024
So, is the purpose of Quarto primarily for data viz? It isn't something that for example you'd use for summary stats unless have some visual component with it?
Gracielle Higino Coach • October 8, 2024
Hi Maria! You can use Quarto for all sorts of things, including reporting summary stats. For example, I use Quarto to write scientific papers and to report survey results on a webpage for my husband's class. I'd say the purpose of Quarto is to provide you with tools to reproducibly report something.
Steven Meyer • October 15, 2024
I was wondering why David's output was showing up in the RStudio Viewer tab, but mine was not; my rendered output was going to a web-page. Our YAMLs were the same, so I wondered if it was a setting, which it was: Tools --> Global Options --> R Markdown --> Show output preview in: Viewer Pane.
David Keyes Founder • October 16, 2024
Thanks for sharing!
Alagammai Meyyappan • March 29, 2025
I can't seem to find messages in my code chunk options. 'execute' shows up eval, echo, output, warning, error, include, cache and freeze.
Gracielle Higino Coach • March 31, 2025
Hi Alagammai! I'm not sure what you mean by "find messages in my code chunk options" as we need to write them down, not select them. In any case, there's a chance that your rendering engine is not set up as
Knitr, that's why Quarto is not recognizingmessagesas a code chunk execution option. Try typing it down anyway and rendering your document, and let us know what error messages you get!