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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
Changing Variable Types
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This lesson is called Changing Variable Types, part of the Going Deeper with R course. This lesson is called Changing Variable Types, part of the Going Deeper with R course.
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Transcript
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Your Turn
Convert the
number_of_studentsvariable to numeric by usingas.numeric()Make sure you can use your
number_of_studentsvariable to count the total number of students in Oregon
Learn More
The best place to learn more about changing variable types is Chapter 20 of R for Data Science. Be warned that the chapter is dense, but it goes over, in greater depth, various variable (technically, vector) types, how to change them, etc.
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Hannah Ridenour LaFrance
December 14, 2022
I changed some of my variables to numeric in order to run a correlation test, but when I attempt to run cor.test, I get the error message that "'x' must be a numeric vector" even though both x and y are reading as dbl variables. My code is here: https://github.com/herlafrance/NBV_HRL2022RCourse/blob/master/VSA_2022_HRL_NBV_ongoing_project.Rmd with the issues in question occurring from lines 195-222. I'm wondering if there's something going on with na values? Not sure what the remaining roadblock is.