Data Visualization JRNL 4970
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This 1 page Class Notes was uploaded by Elizabeth Gill on Monday February 8, 2016. The Class Notes belongs to JRNL 4970 at Auburn University taught by Michael J. Koliska in Fall 2015. Since its upload, it has received 42 views. For similar materials see Data Visualization in Journalism and Mass Communications at Auburn University.
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Date Created: 02/08/16
2/4/16 Data and Design Causality vs. correlation Causality: - an action influences another Correlation: - two things happen at the same time Data Types – translated Quantitative: data that can be counted or measured; all values are numerical Deviation: - this examines how data points relate to each other; particularly how far any given data point is Time- Series: - this tracks changes in values of a consistent metric over time
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