The purpose of this guide is to provide research support for your Management Simulation Course and other courses that require data analysis. Please use the menu on the left to find library subscription resources as well as freely available resources.
Visualization of data from DIGG website. [Photograph]. Retrieved from
Encyclopædia Britannica ImageQuest.
https://quest.eb.com/search/132_1371812/1/132_1371812/cite
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Data Visualization for Dummies Author: Diamond, Stephanie; Yuk, Mico; and more |
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Author: Ledford, Jerri L.; Teixeira, Joe; and more |
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Info We Trust : How to Inspire the World with Data Author: Andrews, R. J.; |
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Presenting Technical Data to a Non-Technical Audience Author: Hopcraft, Francis; |
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Statistical Thinking : Improving Business Performance Author: Hoerl, Roger W.; Snee, Ronald D.; and more |
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Testing Statistical Assumptions in Research Author: Verma, J. P.; Abdel-Salam, Abdel-Salam G.; |
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The Power of Data Storytelling Author: Vora, Sejal; |
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Author: Loth, Alexander; |
Time Series Data: Track observations over time
Categorical: Qualitative
Numerical (Quantitative)
Numerical data can be discrete (countable) or continuous (fractions)
When a dataset includes both cross-sectional and time series that is a panel dataset.
Sabermetrics (Baseball Data) - narrow and deep rather than broad and shallow
All data can be classified as categorical or numerical
Cross-Sectional Data: dataset that consists of observations from different individual units (people, business, countries)
