Finding Dependency Clusters

Michael J. Swart performs cluster analysis with tables:

That ball of mush in the middle is hard to look at, but the smaller disconnected bits aren’t! Just like Ben, I want to work on those smaller pieces too! And just like the lonely tables we looked at last week, these small isolated components are also good candidates for extracting from SQL Server.

The script looks at joins in execution plans, which is a rather clever way of doing this when you don’t have a comprehensive set of foreign key constraints.

Related Posts

Modifying HTML Rendering in Shiny

Senthil Thyagarajan gives us an example of uisng the htmltools package to change the way tables render in Shiny: In order to build the html table I have used a function table_frame which can be used as a container in DT::renderdatatable. This function basically uses htmltools. For more references on the basics of html tables please refer here In […]

Read More

Qualitative Analysis with Dendograms

Stephanie Evergreen explains what denodgrams are and when they can be useful visuals: Dendrograms are not THE most common qualitative visual because they require a data generated through a hierarchical cluster analysis. Cluster analysis can be a useful tool in analyzing qualitative data. By clustering groups of participants with similar qualitative codes, you can better […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

April 2019
MTWTFSS
« Mar  
1234567
891011121314
15161718192021
22232425262728
2930