Difference between revisions of "Data Analysis"
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== Guidelines == | == Guidelines == | ||
* organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details | * organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details | ||
=== | ===Principal Component Analysis=== | ||
[[Principal Component Analysis (PCA)]] is an analytical tool looks to explain the maximum amount of variance with the fewest number of principal components. | |||
===Subsection 2=== | ===Subsection 2=== | ||
===Subsection 3=== | ===Subsection 3=== | ||
Revision as of 22:44, 7 February 2017
NOTE: this article is only a template. Please add content!
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Read First
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Guidelines
- organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
Principal Component Analysis
Principal Component Analysis (PCA) is an analytical tool looks to explain the maximum amount of variance with the fewest number of principal components.
Subsection 2
Subsection 3
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This article is part of the topic *topic name, as listed on main page*
Additional Resources
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