Best Practices in Data Visualization

1

Downloading and Importing Data

08:13

2

Overview of Tidy Data

05:03

3

Tidy Data Rule #1: Every Column is a Variable

06:26

4

Tidy Data Rule #3: Every Cell is a Single Value

09:27

5

Tidy Data Rule #2: Every Row is an Observation

04:05

6

Changing Variable Types

05:13

7

Dealing With Missing Data

04:41

8

Advanced Summarizing

07:52

9

Binding Data Frames

06:56

10

Functions

11:59

11

Data Merging

09:24

12

Exporting Data

04:20

13

Bring It All Together (Advanced Data Wrangling)

14:22

1

Best Practices in Data Visualization

03:38

2

Tidy Data

02:25

3

Pipe Data in ggplot

08:18

4

Reorder Plots to Highlight Findings

03:50

5

Line Charts

04:13

6

Use Color to Highlight Findings

08:23

7

Declutter

07:53

8

Add Descriptive Labels to Your Plots

09:18

9

Use Titles to Highlight Findings

08:30

10

Use Annotations to Explain

06:35

11

Tweak Spacing

05:36

12

Create a Custom Theme

03:20

13

Customize Your Fonts

04:42

14

Try New Plot Types

03:24

15

Bring it All Together (Advanced Data Visualization)

11:04

1

Advanced Markdown

07:10

2

Tables

15:48

3

Advanced YAML and Code Chunk Options

05:42

4

Inline R Code

03:42

5

Making Your Reports Shine: Word Edition

05:08

6

Making Your Reports Shine: PDF Edition

07:37

7

Making Your Reports Shine: HTML Edition

06:08

8

Presentations

11:12

9

Dashboards

06:20

10

Websites

08:11

11

Publishing Your Work

02:37

12

Quarto Extensions

06:38

13

Parameterized Reporting, Part 1

07:02

14

Parameterized Reporting, Part 2

04:03

15

Parameterized Reporting, Part 3

06:22

16

Wrapping up Going Deeper with R