By Ann Morgester
We live in a world of memes and 45 second sound bites. How can we determine if the data that is being presented is accurate and worth our time? This session on Data Visualization Strategies in the Age of Fake News was powerful. The presenters define Data Visualization as using charts, graphs, or other visual forms to communicate (mostly quantitative) data or information. The addition of a visual element contributes additional insight, understanding, or patterns and is not merely decorative.
The key concepts covered were statistics and data comprehension, data as argument, and data visualization.
The first thing to understand is that different types of visualization work better for different types of data. Here are the critical questions to ask relating to any data visualization you are evaluating or creating from the book Creating Data Literate Students.
The second thing that the group covered was the importance of teaching students to not only read and evaluate data visualizations but teaching them to create effective data visualizations that tell a story, present an argument, and/or present an interpretation of the data.
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MELISSA P. JOHNSTON
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Books:You can access PDF versions of the books at the links belowData Literacy in the Real WorldCreating Data Literate Students