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Learn how data visualization plays a crucial role in developing data literacy, incorporating principles of analytical design for effective communication, comparisons, and causality demonstration. Discover tools like ArcGIS and Bissantz Sparkmaker for visualizing data effectively.
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The Importance of Data Visualization for Data Literacy Janet P. Stamatel, Ph.D. School of Criminal Justice & Department of Informatics University at Albany
Tufte’s Principles of Analytical Design • Show comparisons, contrasts, differences • Demonstrate causality, mechanism, explanation, systematic structure • Utilize multivariate data • Integrate words, numbers, images, diagrams • Document the evidence thoroughly • Emphasize the quality, relevance, and integrity of the content
L&D Sample of Countries Source: LaFree & Drass, 2002
Sampled Countries by Development Source: LaFree & Drass, 2002
Average Homicide Rates, 1956-1998 Source: LaFree & Drass, 2002
European Homicide Averages by Development Source: LaFree & Drass, 2002
European Homicide Averages & Booms by Development Source: LaFree & Drass, 2002
Western Hemisphere Homicide Averages & Booms by Development Source: LaFree & Drass, 2002
U.S. Homicide Rates, 1950-2001 Start Sparkline End Trend [Min|Max] Maximum Minimum
Annual Percentage Change in U.S. Homicide Rates, 1950-2001 Min Max Positive change Negative change
Sparklines Facilitate Comparisons Start Sparkline End Trend [Min|Max] Canada U.S.A.
Challenges of Visual Presentation • Understanding principles of analytic design • Learning techniques to properly visualize data • Figuring out how to implement the techniques
ArcGIS Cost Availability Learning curve Very flexible Bissantz Sparkmaker $200 individual license Easy to download and install Simple to use with MS products Buggy Limited customization Software Considerations