Under certain circumstances, institutions may have course and/or section data that they wish to exclude from analysis and reporting.  This data represents aspects of their offerings that they know is not actionable and therefore they do not want it included in the analysis itself (e.g. generic course numbering like '2XX'), or that should be included in the overall demand analysis but is considered noise that should not be displayed in the results.  Platinum Analysis and strategic dashboards can both be impacted by setting Global Course and/or Section filters.  Depending on the filter attribute used, options are provided that can either remove items from consideration during the analysis process or leave them in the analysis but remove them from the results/dashboard displays.

 

To configure global filtering, perform the following:

 

1.Select the Global Filtering option on the Analytics tab.
 
The system will display options for configuring filters that will exclude data from either the analysis or the analysis results.
 

 
Options to Exclude from Results include:

 

•Course number filter (with support for wild card syntax*)

•Course number selections from the database

•Subject selections from the database

 

Options to Exclude from Analysis include:

 

•Section number filter (with support for wild card syntax*)

•Meeting Type selections from the database

•Part of Term selections from the database (if applicable/imported)

 

2.If desired, use the Add Course (or Section) Number Filter button to add a new custom number entry to the list.  Enter the number filter in the field provided.
 
NOTE:  The number filter options require RegEx expression syntax for wild card support.  See the RegEx Expression Syntax library at the end of this topic for examples.
 

 

3.Click the + button to select one or more other filter options from the database.

 

4. Click Save.
 
NOTE:  As a convenience, applied global filters can be viewed from within an analysis run's results.

RegEx Expression Syntax

All RegEx searches are case-insensitive.

Starts with

Match any value that starts with the specified characters.  Use a leading '^'.

 

Example:

'^3' = Starts with '3'

 

Matches: 301, 349875

Non-Matches: 4, abc

Ends With

Match any value that ends with the specified characters.  Use a trailing '$'.

 

Example:

‘abc$’ = Ends with 'abc'

 

Matches: 123abc, Zabc

Non-Matches: 123ab, 123ac

Any Digit

Match any value that includes the specified characters adjacent to any digit.  Use '[0-9]'.

 

Example:

‘^3[0-9]’ = Starts with 3 followed by any digit

 

Matches: 301, 349875

Non-Matches: 3a123, 4123

Any Alpha-Character

Match any value that includes the specified characters adjacent to any alpha character.  Use '[A-Z]'.

 

Example:

‘^A[A-Z]’ = Starts with ‘A’ followed by any character

 

Matches: Abcd, ABCD

Non-Matches: A1B, Zbc

Any Character

Match the specified characters with any other character.  Use '.' (period).

 

Example:

‘^a.c’ = Starts with ‘a’ followed by any character, followed by c

 

Matches: azc, a1cd

Non-Matches: b1c, abz

Contains

Match any value that contains the characters provided.  Do not use ‘^’ and no ‘$’.

 

Example:

‘ac’ = String contains ‘ac’

 

Matches: abacab, 1acb

Non-Matches: abc, 1zc

Exact Word

Match the exact characters provided.  Use ‘^’ and ‘$’.

 

Example:

‘^ac$’ = String is ‘ac’

 

Matches: ac, 1acb

Non-Matches: abc, ac b

Character Classes

Match any number or alpha character in the brackets.

[any num. of digits or alpha characters]

 

Example:

‘^1[358][2]’

 

Matches: 132, 152, 182 

Non-Matches: 122, 142, 172

Character Ranges

Match any number or alpha character in the range.

[digit or alpha character – digit or alpha character]

 

Example:

‘^1[3-8][2]’

 

Matches: 132, 152, 172, 182       

Non-Matches: 122, 192, 102