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CSI 773 - Stat Graph/Data Explortn |
Exploratory data analysis provides a reliable alternative to classical statistical techniques, which are designed to be the best possible when stringent assumptions apply. Topics include graphical techniques such as scatter plots, box plots, parallel coordinate plots, and other graphical devices; re-expression and transformation of data; influence and leverage; and dimensionality reduction methods such as projection pursuit.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Non-Degree, Washington Consortium Schedule Types: Lecture Computational & Data Sciences Department Course Attributes: Graduate - Advanced Restrictions: Must be enrolled in one of the following Levels: Non-Degree Graduate May not be enrolled in one of the following Degrees: Non-Degree Undergraduate |
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