R in 3 Months Fall 2021 Week 2 Office Hours
This lesson is called R in 3 Months Fall 2021 Week 2 Office Hours, part of the R in 3 Months (Fall 2021) course. This lesson is called R in 3 Months Fall 2021 Week 2 Office Hours, part of the R in 3 Months (Fall 2021) course.
Transcript
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Hi folks! We had a great first office hours session with around 10 folks joining in and asking various questions. Some topics covered included:
RStudio projects
Can we make maps with R?
How can we include references in RMarkdown?
How can we make dashboards with R?
Have any questions? Put them below and we will help you out!
Course Content
134 Lessons
1
Welcome to Getting Started with R
00:57
2
Install R
02:05
3
Install RStudio
02:14
4
Projects
07:54
5
Files in R
04:33
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
Wrapping Up
13
R in 3 Months Fall 2021 Week 1 Live Session
54:07
1
Getting Started
03:01
2
The Tidyverse
12:11
3
select
05:48
4
mutate
04:08
5
filter
10:26
6
summarize
03:20
7
group_by
02:56
8
count
02:06
9
arrange
03:58
10
Create a New Data Frame
02:42
11
Crosstabs
06:58
12
Wrapping Up
13
R in 3 Months Fall 2021 Week 3 Project Assignment
06:03
14
R in 3 Months Fall 2021 Week 3 Office Hours
55:49
15
R in 3 Months Fall 2021 Week 3 Live Session
1:10:01
1
An Important Workflow Tip
05:00
2
The Grammar of Graphics
06:08
3
Scatterplots
05:15
4
Histograms
02:31
5
Bar Charts
06:32
6
color and fill
03:58
7
scales
09:14
8
Text and Labels
08:04
9
Plot Labels
06:06
10
Themes
03:56
11
Facets
05:57
12
Save Plots
05:17
13
Wrapping Up
14
You Did It!
15
R in 3 Months Fall 2021 Week 4 Project Assignment
04:40
16
R in 3 Months Week 4 Office Hours
56:30
17
R in 3 Months Fall 2021 Week 4 Live Session
1:05:25
1
What is Git? What is GitHub?
02:23
2
Why Should You Learn to Use Git and GitHub?
03:04
3
Update Everything
07:34
4
Install Git
04:04
5
Configure Git
02:10
6
Create a Local Git Repository
03:16
7
Commits
06:00
8
Commit History
04:28
9
GitHub Repositories
04:47
10
Connect RStudio and GitHub
05:06
11
Push an RStudio Project to a GitHub Repository
02:57
12
Pull a GitHub Repository to an RStudio Project
02:52
13
Keep RStudio and GitHub in Sync
02:27
14
R in 3 Months Week 6 Office Hours
59:43
15
R in 3 Months Fall 2021 Week 6 Project Assignment
07:55
16
R in 3 Months Fall 2021 Week 6 Live Session
54:10
1
Overview
2
Importing Data
15:45
3
Tidy Data
08:11
4
Reshaping Data
10:18
5
Dealing with Missing Data
04:56
6
Changing Variable Types
05:30
7
Advanced Variable Creation
19:26
8
Advanced Summarizing
10:00
9
Binding Data Frames
06:50
10
R in 3 Months Fall 2021 Week 7 Project Assignment
06:14
11
R in 3 Months Fall 2021 Week 7 Live Session
51:31
12
R in 3 Months Week 7 Office Hours
35:07
1
Data Visualization Best Practices
04:51
2
Tidy Data
04:01
3
Pipe Data Into ggplot
04:50
4
Reorder Plots to Highlight Findings
06:09
5
Line Charts
04:10
6
Use Color to Highlight Findings
08:25
7
Declutter
10:47
8
Use the scales Package for Nicely Formatted Values
03:42
9
Use Direct Labeling
11:43
10
R in 3 Months Fall 2021 Week 10 Project Assignment
04:47
11
R in 3 Months Week 10 Office Hours
52:28
12
R in 3 Months Fall 2021 Week 10 Live Session
1:13:30
1
Use Axis Text Wisely
03:15
2
Use Titles to Highlight Findings
03:33
3
Use Color in Titles to Highlight Findings
03:51
4
Use Annotations to Explain
04:52
5
Tweak Spacing
05:11
6
Customize Your Theme
02:48
7
Customize Your Fonts
08:18
8
Try New Plot Types
11:50
9
R in 3 Months Fall 2021 Week 11 Project Assignment
10
R in 3 Months Week 11 Office Hours
1:07:41
11
R in 3 Months Fall 2021 Week 11 Live Session
48:31
1
Advanced Markdown Text Formatting
10:52
2
Tables
19:33
3
Advanced YAML
11:49
4
Inline R Code
06:57
5
Making Your Reports Shine: Word Edition
06:53
6
Making Your Reports Shine: HTML Edition
06:32
7
Making Your Reports Shine: PDF Edition
08:21
8
Presentations
04:21
9
Dashboards
06:28
10
Other Formats
04:57
11
You Did It!
12
R in 3 Months Week 12 Project Assignment
08:22
13
R in 3 Months Week 12 Office Hours
54:19
14
R in 3 Months Week 12 Live Session
59:42
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Julieth Silao • October 31, 2022
Hello shiny package makes the web app, and i see the maps etc. can it able to mix the web maps with vector data?