Difference between revisions of "Data Analysis"

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== Guidelines ==
== Preparing the Data Set for Analysis ==
* organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
 
*Standardization
*Aggregation
 
== Different Specific Types of Analysis ==
 
===Principal Component Analysis===
===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.  
[[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===
==Cost Effectiveness Analysis==
==Cost Effectiveness Analysis==



Revision as of 17:53, 20 April 2017

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Preparing the Data Set for Analysis

  • Standardization
  • Aggregation

Different Specific Types of Analysis

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

Cost Effectiveness Analysis

One type is Cost-effectiveness Analysis

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