Difference between revisions of "Data Analysis"
Kbjarkefur (talk | contribs) |
Kbjarkefur (talk | contribs) |
||
| Line 21: | Line 21: | ||
===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. | ||
=== Cost Effectiveness Analysis === | === Cost Effectiveness Analysis === | ||
| Line 30: | Line 28: | ||
== Back to Parent == | == Back to Parent == | ||
This article is part of the topic [[*topic name, as listed on main page*]] | This article is part of the topic [[*topic name, as listed on main page*]] | ||
== Additional Resources == | == Additional Resources == | ||
* list here other articles related to this topic, with a brief description and link | * list here other articles related to this topic, with a brief description and link | ||
[[Category: | [[Category: Data Analysis ]] | ||
Revision as of 17:54, 20 April 2017
NOTE: this article is only a template. Please add content!
add introductory 1-2 sentences here
Read First
- include here key points you want to make sure all readers understand
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.
Cost Effectiveness Analysis
One type is Cost-effectiveness Analysis
Back to Parent
This article is part of the topic *topic name, as listed on main page*
Additional Resources
- list here other articles related to this topic, with a brief description and link