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Contributors: Liz Lane.
Summary:

This resource covers best practices for visualizing data, including considerations such as information type, color, and format. Additionally, it includes a PowerPoint presentation, the handout for an acitivity, and links and references to aditional resources.

Data Visualization Best Practices

When you work with visuals containing data in your own work, such as charts, graphs, or images, how do you approach the display of those visuals? How does the venue in which you share, display, or publish your work shape the visuals? What are the best practices for assuring your visuals or data are displayed in the most accessible manner for your readers?

This resource covers tips and theories such as data visualization best practices for general visuals, using color appropriately for your chosen venue of display, and tips for ethical data representation. A slideshow with example images, in addition to a data visualization assessment handout, are included to help you revise your data visualizations to best approach your readers.

Determining the Best Information Type

When using programs like Microsoft Word, PowerPoint, MatLab, or similar programs that can help you generate visuals, it might be tempting to use flashy 3D or animated charts or tables. Readers can struggle to interpret data when the presentation type of complex, moving, or novel. 

However, simplistic presentations of data and information are the often best when approaching universal readers. Consider these questions when deciding what type of information you are working with and how you might present it:

Slide 2 offers a helpful starting point for avoiding complex visuals and choosing the most effective presentation method for certain information types.

Additional questions to consider when choosing presentation types might include:

Three E’s of Displaying Data

Visual scholar Edward Tufte details many categories of data display best practices in his book Envisioning Information, which offers a starting point for considering how to best display data. These concepts are references and extended here as the 3 E’s of Data Display and are further detailed in the slides below:

Considering Color & Contrast: Best Practices

Though other resources on the OWL explore color theory in more depth, this resource focuses on best practices for using color and principles of contrast for data visualizations.

When readers look at data visualizations, they expect to be able to interpret complex data quickly and easily. Using color or contrast well can provide an appealing reading experience for your audience, shaping the reader’s perception and understanding of your data overall.

Fonts, Layout, and Publication Guidelines

Your data visualizations will likely be presented alongside text, or work in concert with text such as titles, subtitles or labels.

When working with these elements, the following tips provide general approaches for assuring readers can easily access, read, and interpret the information you provide in your data visualizations. Other OWL resources on document design, layout, and typography provide more information on specific font best practices, document layout procedures, and persuasive design tactics.

Contributors: Liz Lane.
Summary:

This resource covers best practices for visualizing data, including considerations such as information type, color, and format. Additionally, it includes a PowerPoint presentation, the handout for an acitivity, and links and references to aditional resources.

Data Visualization Best Practices Presentation

This slideshow provides general best practices for working with data visualizations meant for display in print or digital publication or slideshow presentations. Dowload by clicking the file name above, or view in the document reader below.

Contributors: Liz Lane.
Summary:

This resource covers best practices for visualizing data, including considerations such as information type, color, and format. Additionally, it includes a PowerPoint presentation, the handout for an acitivity, and links and references to aditional resources.

Activity: Assessing Visual Displays of Data

This handout provides a checklist for evaluating data vizualizations. Download by clicking on the file name above, or view in the document reader below.

Contributors: Liz Lane.
Summary:

This resource covers best practices for visualizing data, including considerations such as information type, color, and format. Additionally, it includes a PowerPoint presentation, the handout for an acitivity, and links and references to aditional resources.

Additional Resources

Resources for Checking Color/Contrast Usage & Visual Effectiveness

Paleton: Color wheel that shows you different shades and hues of colors that will transition well to greyscale.

Adobe Color: Another color wheel option that includes RGB and HEX color codes.

Vischeck: Simulates color blind vision and includes an image checker to help you make colored images more accessible to color blind readers.

Works Consulted & Additional Reading

Elkins, James. How to Use Your Eyes. Routledge, 2000.

Johnson-Sheehan, Richard. "Using Graphics." Writing Proposals. Pearson/Longman, 2008, pp. 203-19.

Kostelnick, C. "The Visual Rhetoric of Data Displays: The Conundrum of Clarity." Professional Communication, IEEE Transactions on, vol.50, no.4, 2007, pp.280-294.

Tufte, Edward R. Envisioning Information. Graphics, 2006.

Resources for Checking Color/Contrast Usage and Visual Effectiveness

 

·         Paleton: Color wheel that shows you different shades and hues of colors that will transition well to greyscale. http://paletton.com/

·         Adobe Color: Another color wheel option that includes RGB and HEX color codes. www.color.adobe.com

·         Vischeck: Simulates color blind vision and includes an image checker to help you make colored images more accessible to color blind readers. http://www.vischeck.com/

 

Additional Reading:

      Elkins, James. How to Use Your Eyes. New York: Routledge, 2000. Print.

      Johnson-Sheehan, Richard. "Using Graphics." Writing Proposals. New York: Pearson/Longman, 2008. 203-19. Print.

      Kostelnick, C., "The Visual Rhetoric of Data Displays: The Conundrum of Clarity," in Professional Communication, IEEE Transactions on , vol.50, no.4, pp.280-294, Dec. 2007

Tufte, Edward R. Envisioning Information. Cheshire, Conn: Graphics, 2006. Print.