17 Presenting Effective Visuals
Settling In
Data Storytelling Moment
Presenting a Data Visual
When preparing to present a visualization, consider the following:
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Motivation & Context
- What is the question you are answering, and why is it important?
- What data context does the audience need to understand the visual? (W’s?)
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Orientation
- What aspects of the visual should you explain to provide necessary orientation?
- Walk through guides (axes, color legend, etc.)
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Highlights
- Hone in on one or two interesting data points and tell the story behind them.
- Explain how the visual aspects of the viz reflect that story (this reinforces how they should interpret the viz).
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Big Picture
- What are the overall trends or takeaways?
- What are the implications for them? Why does it matter?
- What comparison are you wanting to highlight?
Improving your Data Visual
Section 4.2.1 Guidelines for good plots presents 6 guidelines for creating great plots:
- Aim for high data density.
- Use clear, meaningful labels.
- Provide useful references.
- Highlight interesting aspects of the data.
- Consider using small multiples.
- Make order meaningful.
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Although it’s not explicitly stated, an overarching theme is to facilitate comparisons.
- When you present your visualizations, what aspects is the viewer drawn to, and what do they want to compare?
- Make it as easy as possible to compare those things.
Now You Present
For about 2 minutes: Present your visualizations to your group.
For about 5 minutes: Discuss as a group how you might improve the visualizations and/or refine the data story.
- Consider the 6 guidelines for creating great plots.
- What questions do you have as the audience?
- What addition information might provide important context to understand the comparisons being drawn?
Human-centered data science
Let’s take a moment to explore The Pudding’s 30 Years of American Anxieties.
- In what ways do these letters reveal essential context that would never be found in a dataset?
- What hidden context can you imagine for your dataset?
- What additional information could accompany your dataset to provide a more full picture of the lived experiences of all those who may have been connected to the data?
- Who collected this data? Why? What might have been their agenda?
- How might the agendas of the data collectors affected what data are available? In terms of:
- What cases are present in and absent from the data?
- What variables are available and in what format (e.g., categories)?
- Think about the labor involved in collecting your data. Whose labor is most visible and applauded? Whose labor is invisible?
Your project in 3 visuals
Now find your project group and work through this exercise.
Exercise: If your digital deliverable (whether blog post or interactive website – we’ll talk about that next week) could only show 3 visuals, what would they be? Why?
- What ideas do you have about the order of your visuals?
- What might you do to combine multiple visuals into one?
Resources for sparking creativity and imagination in your plots
- Blog post: The 30 Best Data Visualizations of 2023
- The Pudding is a great data journalism site. Examples of articles with unique visualizations:
- Pockets: On the sizes of men’s and women’s pockets
- Making it Big: Exploring the trajectory of bands
- The Differences in How CNN, MSNBC, & FOX Cover the News
- The Physical Traits that Define Men and Women in Literature
- How News Media Covers Trump and Clinton: An analysis of images in news media
- Where Slang Comes From: Exploring the emergence of slang over time
- Visualizations from the New York Times:
After Class
- Take a look at the Schedule page to see how to prepare for the next class.
- Study for Quiz 3, which is on Monday.