R in 3 Months Fall 2021 Week 4 Project Assignment
This lesson is called R in 3 Months Fall 2021 Week 4 Project Assignment, part of the R in 3 Months (Fall 2021) course. This lesson is called R in 3 Months Fall 2021 Week 4 Project Assignment, part of the R in 3 Months (Fall 2021) course.
Transcript
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For this week, you will take what you've learned about data viz and make a graph from your data. This doesn't need to be the most beautiful thing ever â just make something. You'll have plenty of time later on (and lessons to help you) improve your graph.
You'll then post your code and accompanying data to a GitHub Gist as you've done in past weeks.
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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Portia Hunt • December 7, 2021
Hello! Posting here for visibility in case others have the same question: How can R be persuaded to view a variable coded as 1s and 0s as a binary? In my dataset, I have gender coded that way, but it seems that R has decided that gender is a continuous variable. I am happy to see that R would like to liberate my dataset from the gender binary, but in this case, the 1s and 0s will be important for good old Pearson's r.