Factors in R
This lesson is called Factors in R, part of the R in 3 Months (Spring 2025) course. This lesson is called Factors in R, 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.
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.
Hilde Karlsen • October 14, 2024
I absolutely love this video! I don't know who the teacher is, but her way of explaining factors versus character strings is so pedagogical. The entire video is very pedagogical, by the way.
I also appreciate that she's demonstrating the difference between using the same variable/arguments for both the fill (legend) and the x-axis. This is incredibly helpful because I struggle with setting the fill/legend correctly. I often wonder what the legend should be when I'm using specific x and y variables.
Thank you so much for this video. Please pass along my compliments to the teacher if you're still in touch with her.<3
Gracielle Higino Coach • October 16, 2024
I'm glad this was helpful, Hilde! Do you think that's what you were looking for? I think this shows a way to set the labels to your variables without using labelled data =D Down the road we can practice how to implement these things in a function so you don't need to do it manually every time. I did send your compliments to Libby, she's really a star ✨
Hilde Karlsen • October 16, 2024
Thank you for sending my compliments to Libby, Gracielle, that means a lot! <3
When it comes to what I am looking for and if this video gave me what I was looking for, I think the answer is both yes and no.
Yes because - as you say it shows a way to set labels to variables without using labelled data, which is good! :-)
No because - I really want to be able to automate the process even more (write fewer lines of code/write code that is not repeating itself, i.e. "dry" code), and as you say, implementing this as a function is what I am really looking for! I would love to be able to write better functions. I have written some functions, but they have mostly been "wrappers" around other functions, such as passing some variables into a ggplot that has a certain look, or passing some variables into a correlation plot/heatmap that has a certain look.
So I am really looking forward to learning more about functions! But if you have some more videos by Libby on your server/in your database, I would absolutely love to see them, because her way of explaining things and giving examples pairs very well with my way of learning and remembering. :-)
Gracielle Higino Coach • October 17, 2024
Exactly! Let's get to the function lesson week and we can work together on it! But keep in mind that "lines of code" is not a metric for good code. Sometimes it's ok to write "essays" of code, as long as you're not repeating yourself. Functions tend to be long because they try to do a lot a once, but you only need to write them once, store them in a separate script, and re-use them as often as you need with a single line of code - which is beautiful.
Hilde Karlsen • October 17, 2024
Ah, I take note of what you are saying, as that makes sense! Thank you for pointing that out to me! I want to write clear and understandable code (and well documented code), and not repeat myself :-)
Sara Parisi • October 17, 2024
Thanks for posting this! Really helpful video.
Gracielle Higino Coach • October 17, 2024
YAY! I'm glad it helped you, Sara!
Mike LeVan • May 28, 2025
This was great! Really helped my understanding of factors and how to order them. Kudos to Libby!