Get access to all lessons in this course.
-
Advanced Data Wrangling
- Downloading and Importing Data
- Overview of Tidy Data
- Tidy Data Rule #1: Every Column is a Variable
- Tidy Data Rule #3: Every Cell is a Single Value
- Tidy Data Rule #2: Every Row is an Observation
- Changing Variable Types
- Dealing with Missing Data
- Advanced Summarizing
- Binding Data Frames
- Functions
- Data Merging
- Exporting Data
- Bring It All Together (Advanced Data Wrangling)
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Advanced Data Visualization
- Best Practices in Data Visualization
- Tidy Data
- Pipe Data into ggplot
- Reorder Plots to Highlight Findings
- Line Charts
- Use Color to Highlight Findings
- Declutter
- Add Descriptive Labels to Your Plots
- Use Titles to Highlight Findings
- Use Annotations to Explain
- Tweak Spacing
- Create a Custom Theme
- Customize Your Fonts
- Try New Plot Types
- Bring it All Together (Advanced Data Visualization)
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Quarto
- Advanced Markdown
- Advanced YAML and Code Chunk Options
- Tables
- Inline R Code
- Making Your Reports Shine: Word Edition
- Making Your Reports Shine: PDF Edition
- Making Your Reports Shine: HTML Edition
- Presentations
- Dashboards
- Websites
- Publishing Your Work
- Quarto Extensions
- Parameterized Reporting, Part 1
- Parameterized Reporting, Part 2
- Parameterized Reporting, Part 3
- Wrapping up Going Deeper with R
Going Deeper with R
You Did It!
This lesson is locked
This lesson is called You Did It!, part of the Going Deeper with R course. This lesson is called You Did It!, part of the Going Deeper with R course.
Congratulations on finishing the course! You're well on your way to success with R.
If you're wondering where to go from here, I have a few suggestions. Obviously, this all depends on your needs, but many people I've worked with need to know more about how to work with factors, dates and times, and strings. I suggest taking a look at the forcats package for factors, lubridate() for dates and times, and stringr() for strings.
There is, of course, so much more that you can do with R. I use it for mapping all the time, for example. To get a sense of what's happening in the big wide world of R, your best bet is to follow the #rstats hashtag on Twitter. You'll hear about new packages, new techniques, and be inspired by all of the creative and interesting ways people use R.
Thanks again for taking the course. If you have any questions as you continue your R journey, please don't hesitate to reach out.
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Zach Tilton
February 4, 2022
Thank you for putting together this great course.
Clifton Nelson
May 6, 2022
Thank you for your help! This was a great course!
Sandra Obradovic
June 8, 2022
thanks for developing such a good course and having such a learner-centric approach, really learned a lot and developed my confidence with R!
Margarita Valdes
December 14, 2022
This course was so useful, thank you so much!