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
Welcome to Fundamentals of R
This lesson is locked
This lesson is called Welcome to Fundamentals of R, part of the Fundamentals of R course. This lesson is called Welcome to Fundamentals of R, part of the Fundamentals of R course.
Once you have the basics down, it's time to do some work in R. This course will give you the tools you need to do fundamental data wrangling and analysis, data visualization, and reporting work.
The course covers three topics:
RMarkdown
Data wrangling and analysis
Data visualization
Each topic has a series of lessons. Please go through the lessons in order (you'll be very confused if you don't!). If you get any messages about needing to complete earlier lessons, make sure you've hit the mark complete button. Here's what it looks like:
As in the Getting Started with R course , most lessons have an exercise for you to complete. I invite you to do these on your own before looking at the solution section (which is hidden by default to help you avoid the temptation of looking!). Once you are ready, the solution section will have videos and sample files so that you can check your work.
If you're really interested, there is a GitHub repo with all of the code used as part of this course. If you don't want to be overwhelmed with everything there, here are links to specific pieces.
RMarkdown
Data Wrangling and Analysis
Data Visualization
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Getting Help
If you need help, just enter your question in the section below any lesson and I'll do my best to answer it for you.
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Skarlleth Martinez Prado
September 23, 2021
Hello, I am trying to do the first assignment, and it appears to me this message when I try to change the output format to HTML by changing output: word_document to output: html_document. Error in yaml::yaml.load(..., eval.expr = TRUE) : Scanner error: mapping values are not allowed in this context at line 3, column 32 Calls: ... parse_yaml_front_matter -> yaml_load -> Execution halted