Get access to all lessons in this course.
- Welcome to Fundamentals of R
- Update Everything
- Start a New Project
-
Data Wrangling and Analysis
- The Tidyverse
- Pipes
- select()
- mutate()
- filter()
- summarize()
- group_by() and summarize()
- arrange()
- Create a New Data Frame
- Bring it All Together (Data Wrangling)
-
Data Visualization
- The Grammar of Graphics
- Scatterplots
- Histograms
- Bar Charts
- Setting color and fill Aesthetic Properties
- Setting color and fill Scales
- Setting x and y Scales
- Adding Text to Plots
- Plot Labels
- Themes
- Facets
- Save Plots
- Bring it All Together (Data Visualization)
-
Quarto
- Quarto Overview
- YAML
- Text
- Code Chunks
- Tips for Working with Quarto
- Bring It All Together (Quarto)
-
Wrapping Up
- An Important Workflow Tip
Fundamentals of R
Wrapping Up
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This lesson is called Wrapping Up, part of the Fundamentals of R course. This lesson is called Wrapping Up, part of the Fundamentals of R course.
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Transcript
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Learn More
The sample dashboard shown in the video is here. It is produced with the flexdashboard package.
R for Data Science can be found here. I showed chapter 3 (on data visualization) in the video. The corresponding RMarkdown document is on GitHub here.
Shiny is the package for making interactive web apps. The bus dashboard example is here.
The RMarkdown document that I used to make the slides for this course is here (the slides themselves are here). I made the slides using the xaringan package.
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JULIO VERA DE LEON
March 20, 2022
Hi David, regarding Rmarkdown and Shiny, I understood from your video that it is possible to create a Shiny web app from a Rmarkdown file. Am I right?
jeph mathias
September 23, 2022
Saw in your video sometimes using spaces between = and FALSE i.e = FALSE and sometimes not i.e. =FALSE . My code worked with include=FALSE (no space) and warning = FALSE and message = FALSE (spaces) Are both acceptable?
Abdulkadir Lokhandvala
April 4, 2023
Hi David, I work with SAS and create lots of macros [equivalent to functions in R] for wider community of programmers in out org. One of the way I can utilize R Markdown is to create the documentation of SAS Macros. I need the help on two things: