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Going Deeper with R

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  1. Welcome to Going Deeper with R
  2. Advanced Data Wrangling and Analysis
    Overview
  3. Importing Data
  4. Tidy Data
  5. Reshaping Data
  6. Dealing with Missing Data
  7. Changing Variable Types
  8. Advanced Variable Creation
  9. Advanced Summarizing
  10. Binding Data Frames
  11. Functions
  12. Merging Data
  13. Renaming Variables
  14. Quick Interlude to Reorganize our Code
  15. Exporting Data
  16. Advanced Data Visualization
    Data Visualization Best Practices
  17. Tidy Data
  18. Pipe Data Into ggplot
  19. Reorder Plots to Highlight Findings
  20. Line Charts
  21. Use Color to Highlight Findings
  22. Declutter
  23. Use the scales Package for Nicely Formatted Values
  24. Use Direct Labeling
  25. Use Axis Text Wisely
  26. Use Titles to Highlight Findings
  27. Use Color in Titles to Highlight Findings
  28. Use Annotations to Explain
  29. Tweak Spacing
  30. Customize Your Theme
  31. Customize Your Fonts
  32. Try New Plot Types
  33. Advanced RMarkdown
    Advanced Markdown Text Formatting
  34. Tables
  35. Advanced YAML
  36. Inline R Code
  37. Making Your Reports Shine: Word Edition
  38. Making Your Reports Shine: HTML Edition
  39. Making Your Reports Shine: PDF Edition
  40. Presentations
  41. Dashboards
  42. Other Formats
  43. Wrapping Up
    You Did It!
Going Deeper with R Use Color in Titles to Highlight Findings
Lesson 27 of 43
In Progress

Use Color in Titles to Highlight Findings

Your Turn

Use color in your title to highlight your main finding. You’ll need to:

  1. Add HTML in the labs() function to add the title
  2. Change the plot.title argument in the theme() function so that it interprets the HTML correctly

Solutions
Learn More

If you want to read about everything the ggtext package can do, here’s its documentation website. The package’s author, Claus Wilke, also gave a talk at rstudio::conf 2020 about it.

Hopefully I’ve convinced you that you don’t need to know much HTML in order to use the ggtext package. If you do want to learn a bit more, the HTML tutorials on W3schools.com are a great place to start. Here’s the page on the span tag if you just want to check that out.

If you want to see the the list of named colors in R, it’s here. All named colors in R should also work in HTML. So, for example, if you have a line that is blue, adding <span style='color: blue'>Title Text</span> will make your title that same shade of blue.

Have any questions? Put them below and we will help you out!

    1. David Keyes May 17, 2021

      Yes, it should. All the HTML code does is change the figure produced by ggplot. That figure is then displayed as a PNG image in PDF/Word so it should work. Let me know if it doesn’t work for you for some reason!

  3. Atlang Mompe June 23, 2021

    HI David should this plot.title be this: plot.title = element_markdown(face = “bold”)) + , we need to change it to element_markdown and also put the second brackets after bold.

    On your solutions code you have this: plot.title = element_text(face = “bold”) +

    Please confirm – unless ofcourse it worked on your machine.

  4. Cat Denial January 13, 2022

    Could you do this in a different theme, and how would you adjust accordingly? I’m trying to get it to work in theme_ipsum, but I’m not sure where to put the element_markdown(), or if it’s a different thing entirely. As my code currently stands, the html is displaying as part of the title.

    enrollment_by_race_ethnicity %>%
    filter(race_ethnicity==”Hispanic/Latine”) %>%
    ggplot(aes(x=year,
    y=prop_of_school_population,
    group=district))+
    geom_line(color=”lightgrey”)+
    geom_line(data=highlight_district,
    inherit.aes=TRUE,
    color=”deeppink1″)+
    geom_text(data=highlight_district,
    inherit.aes=TRUE,
    aes(label=percent_display),
    color=”deeppink1″,
    hjust=c(1,0))+
    theme_ipsum(base_family=”Arial”,
    axis_title_size=0,
    grid=”XY”)+
    scale_y_continuous(label=percent_format(),
    limits=c(0,1))+
    labs(title = “Douglas ESD showed significant growth in\nHispanic/Latine student population”)