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Data Visualization

by: Elizabeth Gill

Data Visualization JRNL 4970

Elizabeth Gill
GPA 2.8

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About this Document

Notes from week 2/4
Data Visualization
Michael J. Koliska
Class Notes
25 ?




Popular in Data Visualization

Popular in Journalism and Mass Communications

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.

Similar to JRNL 4970 at AU

Popular in Journalism and Mass Communications


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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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