Get access to all lessons in this course.
-
The shape of data
- Chart types
- How to choose a chart
- Visual metaphor
- Memorability vs. speed of comprehension
- Identifying your audience
- Data encoding process
-
Layout
- Grids, borders, lines
- Axes
- Grids, borders, lines, and axes examples and exercises
- Alignment
- White space
- Charts in larger layouts
- Alignment, white space, and layout of multiple plots examples and exercises
-
Typography
- What is typography and why does it matter?
- Typographic hierarchy
- Font styles
- Good fonts and where to find them
- Using custom fonts in R examples and exercises
- ggtext examples and exercises
- Pairing fonts
- Typography beyond charts
-
Color
- Color palettes
- Color examples and exercises
- Color models
- HCL color palettes in ggplot examples and exercises
- The color wheel
- Color and emotion
- The eyedropper tool and color inspiration
-
Special topics
- Legends
- Accessibility
- Combining ggplot with a vector editor
- Annotations
- Resizing plots for export
- Finding inspiration
The Glamour of Graphics
Identifying your audience
This lesson is locked
This lesson is called Identifying your audience, part of the The Glamour of Graphics course. This lesson is called Identifying your audience, part of the The Glamour of Graphics course.
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Your Turn
I'd like you to practice the audience exercise using the worksheet shown in thevideo. You can copy the file by clicking this link.
Imagine that you're a dataviz designer and you've been asked by an oceanconservation charity to create a data visualization showing which companiescontribute most to ocean plastic pollution.
Slides
Learn More
The article mentioned in the video, titled How to Identify Your Audience, can be found here. The accompanying worksheet is also available.
You need to be signed-in to comment on this post. Login.