1 / 7

BI Skills Review

BI Skills Review. Zhangxi Lin ISQS 3358 Texas Tech University. Outline. SAS Enterprise Guide Data import Reporting Query Specific topics: parameterized variables, parameterized query, variable expression, joining tables SAS Enterprise Miner Classification Clustering

kasie
Download Presentation

BI Skills Review

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. BI Skills Review Zhangxi Lin ISQS 3358 Texas Tech University Data & Text Mining

  2. Outline • SAS Enterprise Guide • Data import • Reporting • Query • Specific topics: parameterized variables, parameterized query, variable expression, joining tables • SAS Enterprise Miner • Classification • Clustering • Association analysis • SAS EG/Excel analytics tasks • Regression, t-test, etc. • About the final Data & Text Mining

  3. Data import • Excel file • Text file • Dataset: Order.txt • Column Formatting • Column defining • Data formatting Data & Text Mining

  4. Reporting • Listing (SupplyInfo.xls) • One-way frequency (Product) • Two-way frequency (Product) • Variable parameter (Product) Data & Text Mining

  5. Query • Simply query (SupplyInfo.xls) • Joining tables (Commrex_data0) Data & Text Mining

  6. Data Mining • Decision tree • Clustering • Association analysis Data & Text Mining

  7. About the final exam • You know how to use the above tools – so what? You need to • Be able to what out the task according to different requirements • Be able to explain the outcomes Data & Text Mining

More Related