See the Difference! Visualizing Assessment Data Carmen Allen and - - PowerPoint PPT Presentation

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See the Difference! Visualizing Assessment Data Carmen Allen and - - PowerPoint PPT Presentation

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See the Difference! Visualizing Assessment Data Carmen Allen and Jorge Martinez University of Houston, Office of Institutional Research TAIR 2019 Conference February 26, 2019 Outcomes Understand the value of using data visualization to

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See the Difference! Visualizing Assessment Data

Carmen Allen and Jorge Martinez University of Houston, Office of Institutional Research

TAIR 2019 Conference February 26, 2019

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Outcomes

  • Understand the value of using data

visualization to present data

  • Identify ways that Tableau can be used to

present assessment data within your

  • rganization
  • Cite three best practices for building Tableau

visualizations

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Excel vs. Data Visualization Tools

Excel Data Visualization Tools

Primarily static charts Flexible charts Dashboards are complicated Dashboards are drag and drop Constraints on dataset size and efficiency Ability to analyze large datasets with speed and ease Maps? What are maps? Mapping capability Without lots of programming, product is static (usually printed) Explore data in real-time

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Excel Document

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Tableau Version

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Why Use a Visual Tool

  • Find patterns and relationships in data
  • Meet the needs of the audience
  • Make sure the real “story” doesn’t get lost in

the data

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Principles of Data Visualization

Graphical Excellence Visual Integrity Data-Ink Ratio Aesthetic Elegance

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Graphical Excellence

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Visual Integrity

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Visual Integrity

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Maximizing the Data-Ink Ratio

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Maximizing the Data-Ink Ratio

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Aesthetic Elegance

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Aesthetic Elegance

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NSSE Example

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Teacher Evaluation

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Teacher Evaluation

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Teacher Evaluation

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Curate Visualizations

  • What is the main purpose of your

visualization?

  • What is the structure of your data?
  • Who is your audience?
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data-to-viz.com, Yan Holtz

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data-to-viz.com, Yan Holtz

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data-to-viz.com, Yan Holtz

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data-to-viz.com, Yan Holtz

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data-to-viz.com, Yan Holtz

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data-to-viz.com, Yan Holtz

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Colors

  • Colors as a data point
  • Different color schemes

– Categorical/Qualitative – Sequential – Diverging

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Qualitative

  • Discrete categories of data with no order

(gender, race/ethnicity, student level)

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Sequential

  • Gradients of colors used to show a sequence

between higher and lower values (rain intensity)

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Diverging

  • Large low values that diminish and lead to

large high values, negative to positive values (likert scales)

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Other Example

  • https://www.k-

state.edu/assessment/surveys/dashboard/

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Managing Expectations

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The Great Balancing Act

Needs Wants Demands Limitations

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Carmen Allen ceallen74@uh.edu Jorge Martinez jxm@uh.edu

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Resources

  • Tableau Best Practices
  • Color Schemes
  • Visualizing Assessment Data
  • Data Revelations
  • Visualizing Survey Data
  • VizWiz
  • Tableau Community
  • Tableau Gallery